Public evidence page
Triathlon
Sport
Sport: Triathlon
Athletes' bodies
Elite female triathletes are typically relatively tall-to-average with a lean build (low fat mass, sufficient strength-to-drag/weight), and they benefit from longer limb reach and favorable body proportions for swimming efficiency, cycling leverage/posture, and running economy. Their optimal neuromuscular profile is endurance-oriented with a strong slow-twitch predominance.
Cohort
Sex: Female
Level: Elite
Quick glossary
- Prior
- Model estimate before updating with the current evidence; the starting baseline.
- Posterior
- Model-updated estimate after combining prior evidence with observed data.
- Standard deviation
- Spread around the estimate; lower means tighter expected range.
- Alignment
- How well a goal/preference/injury profile matches this body pattern.
Measurements
| Factor | Prior | Posterior | Success-impact | Reasoning behind prior | Prior estimate sources |
|---|---|---|---|---|---|
| Height | 168 ± 6 cm | 168 ± 6 cm | high | Olympic-level triathletes show a clustering around mid/upper-average female stature; 168 cm is used as a practical elite cohort prior derived from the Olympic triathlon mean. | [1] |
| Weight | 55 ± 4.8 kg | 55 ± 4.8 kg | high | At elite level, female triathletes generally maintain low-to-moderate body mass for aerobic transport efficiency; 55 kg is aligned to the Olympic triathlon mean and used with a modest spread. | [1] |
| Arm span | 170 ± 6 cm | 170 ± 6 cm | medium | Triathlon (especially swimming) rewards reach and hydrodynamic advantage, but elite distributions vary; therefore a small positive arm-span-to-height advantage is modeled rather than an extreme wingspan phenotype. | [2] [3] |
| Leg inseam | 85 ± 3 cm | 85 ± 3 cm | medium | Inseam is estimated from height-proportion priors suitable for lean adult females; longer effective lower-limb segments tend to support efficient cycling geometry and running stride mechanics. | [1] |
| Leg-torso ratio | 1.55 ± 0.07 ratio | 1.55 ± 0.07 ratio | medium | A slightly higher leg-to-torso ratio often supports efficient stride/cadence and may complement cycling fit (saddle-to-handlebar geometry) for many elite female athletes. | [4] |
| Shoulder width | 40.5 ± 3 cm | 40.5 ± 3 cm | medium | Moderate shoulder width supports arm/trunk positioning for swimming and stable cycling posture without implying a power-lifter frame; values reflect a realistic lean elite female distribution. | [5] |
| Torso length | 55 ± 3 cm | 55 ± 3 cm | medium | Torso length affects cycling aeroposition and running mechanics; used as a consistent modeled complement to inseam and overall height. | [6] |
| Ankle circumference | 21.8 ± 1.4 cm | 21.8 ± 1.4 cm | low | Ankle size is mainly relevant for equipment fit and potential calf/Achilles size trends; it is not a key discriminator for triathlon at the cohort level. | [7] |
| Ape index | 1.01 ± 0.03 ratio | 1.01 ± 0.03 ratio | low | Ape index is modeled slightly above 1.00 to reflect the modest reach advantage often seen in swim-focused and general endurance-athlete arm-span patterns. | [8] |
| Foot length | 26.2 ± 1.1 cm | 26.2 ± 1.1 cm | low | Foot length affects shoe fit and some lever mechanics, but triathlon success is far more aerobic/metabolic than foot-length driven. | [9] |
| Hand length | 18.5 ± 1 cm | 18.5 ± 1 cm | low | Hand length is included primarily as an equipment-fit/secondary mechanical proxy; it is not a dominant triathlon performance determinant. | [3] |
| Pelvic bone width | 23 ± 2 cm | 23 ± 2 cm | low | Pelvic breadth can influence lateral pelvic mechanics, but triathlon performance is dominated more by aerobic/metabolic capacity and overall body mass/drag than by bony width alone. | [10] |
| Shoulder-hip ratio | 1.62 ± 0.08 ratio | 1.62 ± 0.08 ratio | low | Used only as a coarse physique-shape indicator; endurance triathlon performance is not strongly determined by shoulder/hip width ratio compared with aerobic fitness. | [11] |
| Wrist circumference | 15.8 ± 1 cm | 15.8 ± 1 cm | low | Wrist circumference is not a primary performance trait in triathlon; included as a secondary proxy only. | [12] |
Traits
| Factor | Value | Impact | Reasoning | Sources |
|---|---|---|---|---|
| Muscle fiber profile | slow-twitch dominant | high | Triathlon is predominantly aerobic and prolonged, with repeated sustained efforts across swimming, cycling, and running—collectively aligning with a slow-twitch-dominant optimal profile. | [13] [14] |
| Metabolic tendency | ectomorphic tendency | medium | Ectomorph is selected as a conservative prior representing easier leanness maintenance and lower mass carried per unit aerobic work—common in elite endurance cohorts—even though individuals can be mesomorphic through training adaptation. | [15] [16] |
| Joint laxity | medium | medium | Medium laxity supports adequate shoulder/hip mobility for technique while preserving stable force transfer and injury resistance for repetitive cycling loading and running impact. | [17] |
| Foot arch | neutral arch | medium | Neutral arch is modeled as the best general default for triathlon cohorts: it tolerates typical footwear choices and training modifications while avoiding an extreme brittle stiffness/instability assumption. | [18] |
| Temperature tolerance | balanced | low | Elite performance depends heavily on preparation, acclimation, and tactics; therefore temperature tolerance is not encoded as a strong directional trait. | [19] |
| Dominant side | no meaningful side advantage | low | Triathlon doesn’t impose the kind of asymmetric tactical/positional demands that create a clear left/right cohort advantage; neutral is the safest cohort prior. | [20] |
Goals
| Factor | Alignment | Reasoning | Sources |
|---|---|---|---|
| Build confidence | medium | Completing sessions and progressing toward a finish line can build self-belief—triathlon has clear milestones (longer distances, faster times, finishing an event). But confidence is somewhat limited by complexity: beginners may feel overwhelmed by technique (especially swimming) and training logistics, which can slow early confidence gains. ([usatriathlon.org](https://www.usatriathlon.org/training-tips/why-you-need-to-join-a-triathlon-club?utm_source=openai)) | [21] [22] |
| Build endurance | high | Triathlon’s defining feature is long-duration, aerobic endurance across three disciplines, so it strongly maps to improving stamina and the ability to sustain effort. Training practices in triathlon directly target the endurance systems that make longer efforts feel easier over time. ([heart.org](https://www.heart.org/en/healthy-living/fitness/fitness-basics/aha-recs-for-physical-activity-in-adults?utm_source=openai)) | [23] [24] [25] |
| Build strength and power | medium | Triathlon is not primarily a strength-and-power sport, so “build strength/power” is limited compared with sports like weightlifting, sprinting, or many team sports. That said, it’s not purely endurance: cycling and running do add muscular endurance and some functional strength, and many triathletes add optional strength work. For amateurs who don’t add strength training, the strength/power gains are likely moderate. ([anthology.aclweb.org](https://anthology.aclweb.org/uploaded-files/w48b8O/9GF297/AcsmGuidelinesForExercisePrescription.pdf?utm_source=openai)) | [26] [27] |
| Challenge myself | high | For most amateurs, triathlon naturally feels demanding: training volume, endurance progression, and event-day execution push you beyond casual exercise. The mix of three disciplines also creates many ways to feel challenged (fitness, technique, logistics). ([en.wikipedia.org](https://en.wikipedia.org/wiki/Triathlon?utm_source=openai)) | [23] [25] |
| Compete and measure myself | high | Triathlon is built around measurable performance: race finish time, split times (swim/bike/run), pace, heart-rate/effort metrics, and progression toward shorter/longer distances. Even if you don’t race often, the competitive benchmark culture is strong. ([en.wikipedia.org](https://en.wikipedia.org/wiki/Triathlon?utm_source=openai)) | [23] |
| Improve agility and coordination | medium | Triathlon does improve whole-body coordination and “how efficiently you move” across different environments (water, bike handling, and running mechanics). But it’s not typically an agility/reactive sport like soccer, basketball, or combat sports where frequent directional changes under pressure drive the biggest agility gains. So expect a moderate fit. ([en.wikipedia.org](https://en.wikipedia.org/wiki/Triathlon?utm_source=openai)) | [23] |
| Improve balance and control | medium | Bike handling and transitions (especially mounting/dismounting and keeping steady technique) can improve balance and body control. Swimming and running add stability benefits, though not as much as sports where balance is constantly challenged (e.g., gymnastics, skateboarding, trail running over very uneven terrain). So this is a moderate match. ([en.wikipedia.org](https://en.wikipedia.org/wiki/Triathlon?utm_source=openai)) | [23] |
| Improve flexibility and mobility | low | Triathlon training can indirectly reduce stiffness if you routinely warm up and include some stretching/mobility work, but the core sessions (swim/bike/run) are not inherently focused on increasing range of motion. Without intentional mobility training, improvements are usually limited—so overall alignment is low. ([en.wikipedia.org](https://en.wikipedia.org/wiki/Triathlon?utm_source=openai)) | [23] |
| Improve general health and fitness | high | Triathlon combines sustained aerobic work across swimming, cycling, and running, which strongly fits the basic prescription for improving and maintaining cardiorespiratory fitness and overall health. In amateur training, you typically accumulate enough weekly moderate-to-vigorous aerobic activity to meaningfully improve fitness. ([heart.org](https://www.heart.org/en/healthy-living/fitness/fitness-basics/aha-recs-for-physical-activity-in-adults?utm_source=openai)) | [23] [24] [25] [28] |
| Improve speed and explosiveness | low | Standard triathlon training is mostly endurance-focused (aerobic base, threshold, long sessions). You might include occasional faster intervals, but for most amateurs the overall sport emphasis is not on acceleration and explosive power development. So alignment exists but is weak. ([tandfonline.com](https://www.tandfonline.com/doi/full/10.1080/02640414.2021.1876313?utm_source=openai)) | [23] [29] |
| Learn new skills and master technique | high | Triathlon requires learning and refining three different movement techniques (swim stroke skills, cycling efficiency/handling, and running form) plus practical skills like transitions and pacing. Even at amateur level, improvement is skill-driven, not just “do more miles.” ([usatriathlon.org](https://www.usatriathlon.org/training-tips/why-you-need-to-join-a-triathlon-club?utm_source=openai)) | [23] [30] |
| Lose weight | medium | Because triathlon training is typically high-volume endurance work, it can contribute to fat loss via increased energy expenditure. However, weight loss isn’t guaranteed in the real world: athletes may compensate by eating more, training can be inconsistent, and “training alone” often doesn’t reliably produce large long-term changes without attention to diet. So it’s a solid but not the most direct lever. ([heart.org](https://www.heart.org/en/healthy-living/fitness/fitness-basics/aha-recs-for-physical-activity-in-adults?utm_source=openai)) | [24] [31] [32] |
| Make friends and feel a sense of belonging | medium | Triathlon often has a strong community component via local clubs and group training, and that supports social belonging. Still, unlike some sports played continuously in shared games (basketball, soccer), triathlon training can be partly solitary (especially at the beginner level), so social connection is more “available” than guaranteed. ([usatriathlon.org](https://www.usatriathlon.org/training-tips/why-you-need-to-join-a-triathlon-club?utm_source=openai)) | [30] [33] |
| Reduce stress and feel better | medium | Endurance exercise is commonly associated with improved mood and stress reduction, and triathlon’s longer sessions can be especially helpful for mental “unwinding” and adherence. That said, triathlon training can also be demanding (and sometimes stressful) due to volume, schedules, and recovery needs, so the fit is moderate rather than high. ([pmc.ncbi.nlm.nih.gov](https://pmc.ncbi.nlm.nih.gov/articles/PMC11698100/?utm_source=openai)) | [24] [34] |
| Spend time with people I care about | medium | You can talk while cycling or on shorter run efforts, and many triathletes do workouts with training partners or clubs. But swimming (especially in groups designed for pace) and long solo endurance segments can limit conversation, so this is a moderate fit rather than high. ([usatriathlon.org](https://www.usatriathlon.org/training-tips/why-you-need-to-join-a-triathlon-club?utm_source=openai)) | [22] [30] |
Preferences
| Factor | Alignment | Reasoning | Sources |
|---|---|---|---|
| Competition-focused environment | medium | There’s definitely a competition culture with measurable results (times, rankings, age groups). Still, many amateurs prioritize personal goals and fitness improvements as much as standings. | [35] |
| Enjoys contact | none | Because triathlon is primarily about endurance performance and efficiency rather than physical collisions or direct body contact, it doesn’t fit a “contact is fun” preference. | [35] |
| Flexible Time Table | medium | Training can be quite flexible because you can do sessions on your own (especially at amateur level). But the sport also benefits from regularity (progression, recovery) and usually builds toward an event date, so it’s not as “open-ended” as pure leisure running without a goal. | [35] |
| Indoor setting | low | Some training can be indoor (e.g., treadmill/roller bikes, swim gyms/pools), but the triathlon experience is strongly outdoor and event-based (especially open-water swimming and outdoor roads/trails). | [35] |
| Long steady efforts | high | A big part of triathlon is pacing and maintaining effort for a long time across multiple disciplines—especially for typical amateur races (sprint/olympic/70.3/full). | [35] |
| Low impact on joints | medium | Cycling and swimming are generally joint-friendly compared with running, but triathlon still includes running, which is impact-heavy. So overall it’s not “low impact,” but it can be comparatively manageable versus all-running sports if training is smart. | [36] [37] |
| Mostly individual | high | For amateur triathletes, training and racing are mainly solo: you swim/bike/run on your own schedule, then compete based on your personal performance and fitness. | [35] |
| Non-contact | medium | Triathlon is not a contact sport in the way team sports are, but you can still have close passing/traffic effects with other athletes—especially in transition areas and on the bike course—so it’s not “zero contact” either. | [35] |
| Outdoor setting | high | Triathlon commonly takes place outside with a natural/open environment for swimming (often open water) and outdoor courses for cycling and running. | [35] |
| Playful recreational atmosphere | low | Even for hobbyists, triathlon tends to feel goal-driven and training-heavy. It can be social and friendly, but the “default vibe” is serious preparation and performance rather than casual play. | [35] |
| Routine and structure | high | Triathlon naturally fits structured training plans: you periodize work for each discipline, practice transitions, and follow predictable formats (swim → transition → bike → transition → run). | [35] |
| Short explosive efforts | low | Triathlon is dominated by sustained endurance. You may have brief surges (hills, passing, or the final push), but the sport’s “main appeal” is not short maximal bursts like in sprint-focused sports. | [35] |
| Tactical and strategic | medium | There is strategy—how hard to go in the swim, how to pace the bike, when to conserve for the run, and how transitions affect your time. But it’s less about chess-like decision-making in the moment and more about pacing and race planning. | [35] [38] |
| Team environment | none | Triathlon is raced individually—your goal is your total time across swim, bike, and run. While you may train with others, the sport is not built around team participation during the event. | [35] |
| Technique-heavy | medium | Technique matters a lot in swim form, bike handling, and efficient running form—but success is still largely fitness/endurance. So it’s skillful, just not as purely “technique-first” as some sports (e.g., gymnastics or diving). | [35] |
| Variety and novelty | medium | It has built-in variety because you rotate among swimming, cycling, and running. However, within each discipline you still repeat workouts and techniques, so it’s not “constantly new” like sports with constantly changing game play. | [35] |
| Water environment | medium | Water is a core part because triathlon includes swimming, but it’s only one third of the overall race (you then switch to cycling and running). | [35] |
Injuries
Risk
| Factor | Value | Definition | Full reasoning | Sources |
|---|---|---|---|---|
| Achilles tendon pain (tendinopathy) | medium | Pain and irritation in the Achilles tendon at the back of the ankle. | Running-related injury epidemiology shows Achilles tendinopathy among common overuse diagnoses. Triathlon has a large proportion of injuries arising during running, so the Achilles tendon is plausibly at meaningful risk when training loads are high or increase quickly. Given this is not a pure running sport but running is still a core component, the risk is set to medium rather than high. | [39] [40] |
| ACL injury | none | A major ligament injury inside the knee, often linked to pivoting, landing, or sudden deceleration. | Triathlon injury reviews highlight running/cycling/swimming overuse, not a high rate of ACL ruptures/tears. Because ACL mechanisms typically involve deceleration/pivot/valgus collapse, triathlon at moderate frequency doesn’t suggest increased ACL injury risk to a noticeable degree in the literature. So none. | [40] |
| Ankle sprain | low | A stretched or torn ankle ligament, usually after the foot rolls awkwardly. | Ankle sprains occur in running-related injury categories, but triathlon injury reviews emphasize running-related injuries broadly and do not suggest ankle sprain is among the very highest-probability triathlon-specific outcomes for typical moderate participation. So risk is low. | [39] [40] |
| Calf strain | medium | A pulled or overloaded calf muscle, often felt during pushing off, sprinting, or jumping. | Running-related injury patterns commonly include calf strains among lower-limb overuse/strain injuries. Triathlon running exposure makes calf strain a reasonable, non-trivial risk. However, cycling/swimming may reduce total impact time, so medium rather than high. | [40] [43] |
| Finger or hand impact injury | none | Pain from jamming, bending, or striking the fingers or hand during sport. | Triathlon injuries are predominantly overuse and related to running/cycling/swimming, not hand/finger impact trauma as a common diagnosis. So none. | [40] |
| General forearm overuse pain | none | Ongoing forearm pain from repeated gripping, lifting, or arm use when the exact tendon is unclear. | Across the triathlon injury literature, most reported musculoskeletal injuries are concentrated in running (often the most), plus cycling and swimming, without forearm overuse pain being a top-documented category. With no strong signal that triathlon moderately increases forearm-specific overuse injury risk, risk is set to none. | [40] |
| General foot or ankle pain | medium | Ongoing foot or ankle pain when the exact structure or diagnosis is unclear. | Foot/ankle are common sites of overuse and running-related injuries. Triathlon has a high share of injuries during running; therefore a broad category like general foot/ankle pain is a meaningful risk. But because cycling and swimming distribute load, risk is medium rather than high. | [39] [40] |
| General hip or groin pain | low | Ongoing hip or groin pain when the exact structure or diagnosis is unclear. | Triathlon injury reviews show injuries occur across disciplines with running common. However, without strong evidence that hip/groin pain is among the most frequent specific diagnoses, risk is kept low. | [40] |
| General knee pain | high | Ongoing knee pain when the exact structure or diagnosis is unclear. | Running-related injury epidemiology commonly shows the knee as a high-incidence and high-prevalence site. Triathlon injury summaries show many injuries occur during running. Together, this makes general knee pain a high-likelihood issue for triathletes—hence high risk. | [39] [40] |
| General lower-back pain | low | Ongoing lower-back pain when the exact source is unclear. | Triathlon includes cycling, which can stress the lumbar spine based on posture, and running, which can contribute through fatigue and mechanics. Still, triathlon injury overviews don’t typically rank low-back pain as the single most common category, so risk is low. | [40] |
| General lower-leg pain | medium | Ongoing shin or calf pain when the exact diagnosis is unclear. | Running-related injury evidence shows lower leg and tibial conditions are prominent. Since triathlon injuries often occur during running, general lower leg pain risk is medium. Not high because cycling and swimming can reduce total run volume compared with pure running training. | [39] [40] |
| General shoulder pain | low | Ongoing shoulder pain when the exact structure or diagnosis is unclear. | Triathlon shoulder injury risk exists because swimming uses repetitive arm/shoulder motion. However, overall triathlon injury summaries often show running as the dominant injury time. So general shoulder pain is present but not the highest triathlon risk category—low. | [40] [44] |
| General wrist or hand pain | none | Ongoing wrist or hand pain when the exact structure or diagnosis is unclear. | Triathlon injury reviews emphasize running/cycling/swimming and commonly affected regions. Wrist/hand pain isn’t typically a dominant category for triathletes at moderate frequency. So none. | [40] |
| Golfer's elbow | none | Pain on the inside of the elbow linked to overload in the forearm tendons. | Triathlon injury epidemiology highlights running/cycling/swimming injuries but doesn’t point to medial elbow (golfer’s elbow) as a common overuse outcome. Therefore the baseline risk increase from triathlon is best treated as none. | [40] |
| Groin strain | low | A pulled or irritated groin muscle, often felt in cutting, sprinting, or kicking movements. | Groin strain is more commonly discussed in sports with kicking/cutting. Triathlon can still involve sudden accelerations and fatigue-related form breakdown, but evidence summaries of triathlon injuries don’t make groin strain a top common category, so risk is low. | [40] |
| Hip flexor strain | low | A strain or overload in the front-of-hip muscles that help lift the leg. | Triathlon injury epidemiology strongly emphasizes running-related injuries, but without evidence pointing hip flexor strain as a frequent primary category, risk is low. | [40] |
| Side-of-hip tendon pain | low | Irritation of the hip or gluteal tendons around the outer side of the hip. | While hip/glute tendinopathies can be provoked by running and cycling mechanics, the provided triathlon injury overviews don’t strongly single it out as a top frequent injury category. Therefore low. | [40] |
| Lower-back disc irritation | none | Lower-back pain that may involve irritation of a spinal disc and sometimes pain spreading into the leg. | Available triathlon injury reviews mainly summarize broad injury categories by discipline and common overuse sites; lumbar disc irritation isn’t typically singled out as a dominant frequent diagnosis. With no clear evidence for increased incidence as a triathlon category, risk is none. | [40] |
| Mechanical lower-back pain | low | Common lower-back pain related to movement, loading, stiffness, or irritated supporting tissues. | Cycling posture can contribute to mechanical low back pain in endurance athletes. However, broad triathlon injury summaries don’t show it as a top dominant injury type like knee/foot/ankle issues. So low risk. | [40] |
| Meniscus injury | none | Irritation or tearing of the knee cartilage that helps cushion and stabilize the joint. | Triathlon injury epidemiology emphasizes overuse more than acute traumatic meniscal tears. While falls and rare acute injuries can occur, there’s no strong evidence that triathlon at moderate participation frequency meaningfully increases meniscus-injury risk as a category. Thus none. | [40] |
| Jumper's knee (patellar tendinopathy) | medium | Pain and irritation in the tendon just below the kneecap. | While triathlon specifically is not singled out as a high patellar-tendinopathy sport, running-related injury patterns include patellofemoral pain and related anterior knee overuse. Given triathlon’s high running exposure and frequent anterior knee issues, patellar tendinopathy risk is plausibly increased to medium. | [39] [40] |
| Front-of-knee pain (patellofemoral pain) | high | Pain around or behind the kneecap that often flares with repetitive knee bending. | Running injury epidemiology identifies patellofemoral pain syndrome as a notable contributor to running-related pain/injury incidence and prevalence. Triathlon’s injury literature shows many injuries occur during running, making patellofemoral pain a high-probability triathlon-related knee issue. | [39] [40] |
| Heel pain (plantar fasciitis) | medium | Irritation of the tissue under the foot that often causes pain near the heel. | Runner injury epidemiology shows plantar fasciitis is among commonly occurring overuse injuries. Since triathlon has many injuries occurring during running, plantar fasciitis risk is meaningfully increased. Still, because cycling/swimming are less impact-heavy, risk is medium rather than high. | [39] [40] |
| Rotator cuff irritation | low | Pain and overload in the shoulder muscles and tendons that help control arm movement. | The swim component can irritate shoulder structures including the rotator cuff. Still, because triathlon overall injury prevalence in reviews is typically dominated by running-related injuries, rotator cuff irritation is assigned low risk rather than medium/high. | [40] [44] |
| Shin splints | medium | Exercise-related pain along the shin that often appears when impact load rises too quickly. | Running-related injury reviews list tibial stress/medial tibial stress syndrome patterns among common injuries. Because triathlon has many injuries during running, shin splints risk is medium. | [39] [40] |
| Shoulder impingement-type pain | low | Shoulder pain that appears when tissues feel pinched or irritated during arm elevation. | Overhead repetitive swimming motion can contribute to impingement symptoms, but the broader triathlon injury epidemiology doesn’t show shoulder impingement as a universally dominant high-incidence diagnosis. Thus low risk. | [40] [44] |
| Shoulder instability or dislocation | none | A shoulder that has slipped out, partly slipped out, or feels unreliable in vulnerable positions. | Triathlon injury reviews don’t suggest a strong baseline risk for shoulder instability/dislocation as a common outcome. Without strong evidence, set to none. | [40] |
| Back stress reaction (spondylolysis) | none | A stress injury in the back often linked to repeated extension and rotation loading. | Triathlon includes running and cycling, but spondylolysis is not commonly emphasized as a triathlon-specific risk in the injury overviews found. Without strong evidence, risk is none. | [40] |
| Tennis elbow | none | Pain on the outside of the elbow linked to overload in the wrist and forearm tendons. | Triathlon injury epidemiology focuses on running and lower-extremity overuse, with swimming and cycling contributing but not pointing to tennis elbow as a common specific diagnosis. So risk is set to none. | [40] |
| Shin bone stress injury | medium | Stress irritation in the tibia from repeated impact that has outpaced recovery. | Running-related injury epidemiology includes stress-related tibial conditions among common injuries. Triathlon has a large portion of injuries during running. Therefore medium risk. It’s not high because cycling can partially substitute and reduce run volume compared to pure running training. | [39] [40] |
| Wrist sprain | none | A stretched or irritated wrist ligament, often after a fall, impact, or awkward bend. | While falls can happen (especially cycling), wrist sprain isn’t generally highlighted as a common triathlon injury diagnosis in injury prevalence/incidence summaries. Therefore none. | [40] |
| Wrist tendon pain | none | Irritation of wrist tendons from repeated gripping, racquet use, lifting, or supporting body weight. | Triathlon injury epidemiology focuses on other regions (running-related and shoulder/knee/foot/ankle). With no strong evidence of wrist-specific tendinopathy being common, risk is none. | [40] |
Prevention
| Factor | Value | Definition | Full reasoning | Sources |
|---|---|---|---|---|
| Achilles tendon pain (tendinopathy) | low | Pain and irritation in the Achilles tendon at the back of the ankle. | Doing triathlon may improve general aerobic capacity and lower injury risk through fitness, but the Achilles tendon is loaded repeatedly during running. Without extra targeted calf/Achilles strengthening outside the sport, triathlon training is more likely to either maintain exposure or overload than prevent Achilles tendinopathy. So there is at least some potential positive effect from gradual adaptation, but it’s limited—set to low. | [40] [41] |
| ACL injury | none | A major ligament injury inside the knee, often linked to pivoting, landing, or sudden deceleration. | Without neuromuscular training/landing mechanics practice, endurance triathlon is not a reliable ACL-prevention intervention. So none. | [40] |
| Ankle sprain | none | A stretched or torn ankle ligament, usually after the foot rolls awkwardly. | While cycling/swimming/running improve fitness, there’s no strong sport-specific evidence that triathlon training (without additional balance/ankle-focused work) substantially prevents ankle sprains. Therefore none. | [40] |
| Calf strain | low | A pulled or overloaded calf muscle, often felt during pushing off, sprinting, or jumping. | Some adaptation of calves to endurance work may reduce strain probability, but rapid increases in running and fatigue can increase risk. Without extra calf-specific strengthening assumed, assign low prevention effect. | [40] |
| Finger or hand impact injury | none | Pain from jamming, bending, or striking the fingers or hand during sport. | Without sport-specific hand protective/impact-reduction work assumed, no prevention effect. | [40] |
| General forearm overuse pain | none | Ongoing forearm pain from repeated gripping, lifting, or arm use when the exact tendon is unclear. | Because triathlon is not a forearm-intensive sport in the way that would plausibly build specific capacity for forearm tendons/grip endurance, there’s no clear mechanism or evidence that doing triathlon would meaningfully prevent forearm overuse pain. | [40] |
| General foot or ankle pain | low | Ongoing foot or ankle pain when the exact structure or diagnosis is unclear. | Moderate, consistent training may improve tolerance and biomechanics over time, but triathlon also increases repetitive loading on feet/ankles through running. Without explicit extra foot/ankle strengthening or technique work, prevention is limited—low. | [41] |
| General hip or groin pain | none | Ongoing hip or groin pain when the exact structure or diagnosis is unclear. | Although aerobic training improves overall health, there is no clear, triathlon-specific evidence that it prevents hip/groin overuse injuries (without additional hip stabilization/flexibility/strength work). So none. | [40] |
| General knee pain | low | Ongoing knee pain when the exact structure or diagnosis is unclear. | Endurance training can improve tolerance and mechanics over time, which may reduce some risks. However, triathlon’s running component increases knee loading, and without explicit knee-strength/technique programs assumed, prevention isn’t strong. Therefore low prevention effect. | [40] |
| General lower-back pain | none | Ongoing lower-back pain when the exact source is unclear. | While overall fitness may help, back pain prevention depends on posture control, core endurance, mobility, and load management. Without assuming additional targeted exercise, prevention benefit from triathlon alone is not supported—none. | [40] |
| General lower-leg pain | low | Ongoing shin or calf pain when the exact diagnosis is unclear. | There is potential for adaptation from consistent training, but without assumed extra shin/calf strength and technique work, prevention isn’t strong. Low. | [40] |
| General shoulder pain | none | Ongoing shoulder pain when the exact structure or diagnosis is unclear. | Prevention of shoulder pain often depends on technique coaching, progressive swim volume, and shoulder conditioning beyond general triathlon. Without assuming those extras, no solid prevention effect can be assigned—none. | [42] |
| General wrist or hand pain | none | Ongoing wrist or hand pain when the exact structure or diagnosis is unclear. | No strong evidence or mechanism to assign prevention benefit for wrist/hand pain from triathlon alone. So none. | [40] |
| Golfer's elbow | none | Pain on the inside of the elbow linked to overload in the forearm tendons. | No strong evidence or plausible targeted mechanism that regular triathlon practice (at moderate frequency) would reduce the risk of golfer’s elbow specifically. | [40] |
| Groin strain | none | A pulled or irritated groin muscle, often felt in cutting, sprinting, or kicking movements. | Without additional strengthening and eccentric/coordination-focused groin work, there’s no strong reason to believe triathlon practice substantially reduces groin-strain risk. So none. | [43] |
| Hip flexor strain | none | A strain or overload in the front-of-hip muscles that help lift the leg. | Without additional hip-targeted conditioning, there’s insufficient evidence to assign prevention benefit. So none. | [40] |
| Side-of-hip tendon pain | none | Irritation of the hip or gluteal tendons around the outer side of the hip. | Tendinopathy prevention typically benefits from progressive tendon loading/strengthening beyond general endurance training. Without that being assumed, prevention effect is none. | [42] |
| Lower-back disc irritation | none | Lower-back pain that may involve irritation of a spinal disc and sometimes pain spreading into the leg. | Prevention would require posture/core/lumbopelvic control and ergonomics. Without assuming these are specifically addressed, no prevention effect can be confidently assigned—none. | [40] |
| Mechanical lower-back pain | none | Common lower-back pain related to movement, loading, stiffness, or irritated supporting tissues. | Prevention typically relies on strength/core conditioning, mobility, and training/position adjustments; these are not assumed as extra work beyond sport. So none. | [40] |
| Meniscus injury | none | Irritation or tearing of the knee cartilage that helps cushion and stabilize the joint. | Meniscus prevention is more about controlling traumatic mechanics (cutting/twisting) and knee stability; triathlon doesn’t inherently provide that. No positive prevention effect assigned. | [40] |
| Jumper's knee (patellar tendinopathy) | low | Pain and irritation in the tendon just below the kneecap. | Patellar tendinopathy prevention typically benefits from progressive tendon loading/strength work and load management. Triathlon provides load management only implicitly, and running still provides repetitive tendon stress, so any prevention benefit is modest—low. | [40] |
| Front-of-knee pain (patellofemoral pain) | low | Pain around or behind the kneecap that often flares with repetitive knee bending. | Because triathlon includes repetitive knee loading from running, it may not prevent patellofemoral pain without explicit technique/strength and load management beyond normal training. Thus low prevention. | [40] |
| Heel pain (plantar fasciitis) | low | Irritation of the tissue under the foot that often causes pain near the heel. | Doing triathlon does not specifically prevent plantar fasciitis unless training progression and mechanics are managed; the running component keeps the plantar fascia exposed to repeated stress. At moderate frequency, adaptation may help somewhat, but prevention isn’t strong—low. | [40] |
| Rotator cuff irritation | none | Pain and overload in the shoulder muscles and tendons that help control arm movement. | Rotator cuff irritation prevention typically requires shoulder-strength/endurance and technique/load management. Those are not assumed as part of triathlon itself at moderate frequency. So none. | [42] |
| Shin splints | low | Exercise-related pain along the shin that often appears when impact load rises too quickly. | Triathlon promotes endurance adaptation, but because the run component is the main exposure for tibial overuse, prevention is limited without careful progression and mechanics. Low. | [40] |
| Shoulder impingement-type pain | none | Shoulder pain that appears when tissues feel pinched or irritated during arm elevation. | No strong evidence that routine triathlon training prevents shoulder impingement without additional targeted interventions. So none. | [42] |
| Shoulder instability or dislocation | none | A shoulder that has slipped out, partly slipped out, or feels unreliable in vulnerable positions. | Prevention would require specific stabilization training and sometimes medical management; not assumed here. So none. | [40] |
| Back stress reaction (spondylolysis) | none | A stress injury in the back often linked to repeated extension and rotation loading. | Prevention would require specific management of repetitive spinal loading and strength/mobility work. Without that assumed, prevention is none. | [40] |
| Tennis elbow | none | Pain on the outside of the elbow linked to overload in the wrist and forearm tendons. | Without a specific, repeated, progressive loading pattern for the extensor tendon/gap under normal triathlon training, there’s no clear prevention effect. | [40] |
| Shin bone stress injury | low | Stress irritation in the tibia from repeated impact that has outpaced recovery. | Prevention depends strongly on load management. Doing triathlon can foster gradual adaptation if planned well, but without extra targeted recovery strategies assumed, risk isn’t prevented strongly. Low prevention. | [42] |
| Wrist sprain | none | A stretched or irritated wrist ligament, often after a fall, impact, or awkward bend. | Prevention would rely on fall prevention and protective behaviors/skills rather than endurance training itself. Not assumed here. So none. | [40] |
| Wrist tendon pain | none | Irritation of wrist tendons from repeated gripping, racquet use, lifting, or supporting body weight. | No evidence or clear mechanism for prevention via triathlon alone. So none. | [40] |
Heal
| Factor | Value | Definition | Full reasoning | Sources |
|---|---|---|---|---|
| Achilles tendon pain (tendinopathy) | low | Pain and irritation in the Achilles tendon at the back of the ankle. | Triathlon isn’t a dedicated Achilles rehab program, and running with pain can worsen symptoms. But maintaining overall cardiovascular fitness and possibly modifying training intensity (e.g., doing more cycling/swimming than running) may support recovery indirectly. Because the sport can be either aggravating or symptom-guided depending on execution, the healing effect from “regularly doing triathlon” alone is limited—set to low rather than medium/high. | [39] [40] |
| ACL injury | none | A major ligament injury inside the knee, often linked to pivoting, landing, or sudden deceleration. | ACL injuries generally require medical assessment and often surgery or structured rehab; continuing triathlon alone is not expected to heal the ligament. So none. | [42] |
| Ankle sprain | none | A stretched or torn ankle ligament, usually after the foot rolls awkwardly. | Ankle sprain recovery generally needs symptom-guided protection and rehab. Triathlon does not provide consistent, ankle-specific rehabilitation loading, and running can impede healing. So no positive healing effect is assigned. | [40] |
| Calf strain | low | A pulled or overloaded calf muscle, often felt during pushing off, sprinting, or jumping. | Triathlon can support indirect recovery through low-impact training, but healing a calf strain is dependent on tissue rest and progressive rehab. Because running is a likely aggravator, overall healing benefit from triathlon practice alone is limited—low. | [40] |
| Finger or hand impact injury | none | Pain from jamming, bending, or striking the fingers or hand during sport. | Hand/finger injuries generally need specific protection/rehab; triathlon isn’t a reliable healing intervention for this tissue. So none. | [42] |
| General forearm overuse pain | none | Ongoing forearm pain from repeated gripping, lifting, or arm use when the exact tendon is unclear. | Healing from tendon/overuse problems depends on the specific tissue loading and rehab dose. Triathlon’s primary training loads are typically leg-heavy (running/cycling) and shoulder/arm-dependent only in swim; forearm-focused rehab is not built in. So there’s no solid evidence of a positive healing effect from triathlon alone. | [40] |
| General foot or ankle pain | low | Ongoing foot or ankle pain when the exact structure or diagnosis is unclear. | Triathlon includes low-impact options (swimming/cycling) that can be used to remain active while symptoms settle, potentially supporting healing indirectly. However, because running is typically the exposure that caused/maintains foot/ankle symptoms, there is no strong guarantee of improvement. So low positive impact. | [40] |
| General hip or groin pain | none | Ongoing hip or groin pain when the exact structure or diagnosis is unclear. | Hip/groin injuries usually require symptom-guided loading and often rehab-focused strengthening/mobility. Triathlon itself is not a specific healing intervention, so none. | [42] |
| General knee pain | low | Ongoing knee pain when the exact structure or diagnosis is unclear. | Triathlon allows low-impact cross-training, which can support recovery indirectly if you reduce painful running. But since triathlon includes repetitive knee loading from running, the sport alone is not a dependable healing method for knee pain. So low. | [40] |
| General lower-back pain | none | Ongoing lower-back pain when the exact source is unclear. | Because cycling posture and running mechanics can aggravate low-back pain, and triathlon doesn’t reliably act as rehab without adjustments and targeted core work, no positive healing effect is assigned—none. | [40] |
| General lower-leg pain | low | Ongoing shin or calf pain when the exact diagnosis is unclear. | Triathlon can be structured to reduce impact, supporting indirect recovery, but the running component often directly drives lower-leg pain. Thus only low positive healing effect from continuing triathlon. | [40] |
| General shoulder pain | none | Ongoing shoulder pain when the exact structure or diagnosis is unclear. | Healing depends on appropriate load modification and rehab for the specific shoulder structure. Triathlon swimming will keep loading the shoulder; without explicit rehab actions, no positive healing effect is assigned—none. | [44] |
| General wrist or hand pain | none | Ongoing wrist or hand pain when the exact structure or diagnosis is unclear. | Healing depends on appropriate local loading and symptom-guided rehab; triathlon does not guarantee that for wrists/hands. So none. | [42] |
| Golfer's elbow | none | Pain on the inside of the elbow linked to overload in the forearm tendons. | Because triathlon doesn’t specifically dose the structures typically responsible for golfer’s elbow as part of normal training, healing is unlikely to improve just from triathlon alone. | [40] |
| Groin strain | none | A pulled or irritated groin muscle, often felt in cutting, sprinting, or kicking movements. | Groin strains require appropriate tissue rest/rehab progression; triathlon does not inherently provide that dosing in a consistent way. So none. | [42] |
| Hip flexor strain | none | A strain or overload in the front-of-hip muscles that help lift the leg. | Healing requires symptom-guided progression of load and often targeted exercises; triathlon alone is not a reliable healing intervention. So none. | [42] |
| Side-of-hip tendon pain | none | Irritation of the hip or gluteal tendons around the outer side of the hip. | Healing of tendinopathy depends on appropriate tendon loading and symptom-guided progression. Triathlon may or may not provide that dose; without additional rehab, there’s no confident positive effect to assign. So none. | [42] |
| Lower-back disc irritation | none | Lower-back pain that may involve irritation of a spinal disc and sometimes pain spreading into the leg. | Disc irritation typically needs symptom-guided management and potentially medical evaluation; continued cycling in flexed postures may worsen symptoms. Therefore none. | [42] |
| Mechanical lower-back pain | none | Common lower-back pain related to movement, loading, stiffness, or irritated supporting tissues. | Without symptom-guided rehab or ergonomic modifications, there’s no confident positive healing effect from triathlon alone. So none. | [42] |
| Meniscus injury | none | Irritation or tearing of the knee cartilage that helps cushion and stabilize the joint. | Meniscus injury management typically requires clinical guidance and rehab; continuing triathlon can worsen symptoms due to knee loading and pain-provoking movement. So none. | [42] |
| Jumper's knee (patellar tendinopathy) | low | Pain and irritation in the tendon just below the kneecap. | With patellar tendinopathy, appropriate loading is needed; triathlon’s running may not match the optimal rehab dose. Still, cycling/swimming can help maintain activity, which may indirectly support recovery if running is reduced. Hence low healing effect. | [40] |
| Front-of-knee pain (patellofemoral pain) | low | Pain around or behind the kneecap that often flares with repetitive knee bending. | Healing of patellofemoral pain depends on symptom-guided load modification and rehab. Triathlon alone can provide alternative low-impact training, but running is likely to provoke symptoms. Therefore only a limited positive healing effect is assigned—low. | [40] |
| Heel pain (plantar fasciitis) | low | Irritation of the tissue under the foot that often causes pain near the heel. | Triathlon alone isn’t a dedicated plantar fascia rehab plan, but the ability to shift load toward cycling/swimming can maintain fitness and reduce impact during healing. Because running is still a major stressor, the expected healing benefit from triathlon practice is limited—low. | [40] |
| Rotator cuff irritation | none | Pain and overload in the shoulder muscles and tendons that help control arm movement. | Healing requires targeted rehab and symptom-guided loading. Because swim continues to stress the shoulder, there’s no confident positive healing effect from continuing triathlon without extra rehab. So none. | [44] |
| Shin splints | low | Exercise-related pain along the shin that often appears when impact load rises too quickly. | Triathlon can indirectly support recovery if you shift to low-impact training and reduce painful running. But the run component can delay healing if continued at full intensity. So low. | [40] |
| Shoulder impingement-type pain | none | Shoulder pain that appears when tissues feel pinched or irritated during arm elevation. | Healing of impingement symptoms depends on specific rehab and load modification. Without assuming those actions, continuing triathlon offers no clear healing benefit—none. | [44] |
| Shoulder instability or dislocation | none | A shoulder that has slipped out, partly slipped out, or feels unreliable in vulnerable positions. | This generally needs medical evaluation and stabilization rehab. Triathlon training won’t reliably heal the instability. So none. | [42] |
| Back stress reaction (spondylolysis) | none | A stress injury in the back often linked to repeated extension and rotation loading. | Healing of stress reactions usually requires strict load modification. Triathlon’s running component may be incompatible with healing unless heavily reduced; therefore no positive healing effect is assigned. | [42] |
| Tennis elbow | none | Pain on the outside of the elbow linked to overload in the wrist and forearm tendons. | Healing for lateral epicondylalgia depends on appropriate tendon loading and symptom-guided progression; standard triathlon training doesn’t constitute that in a reliable way, so no positive healing effect is assigned. | [40] |
| Shin bone stress injury | none | Stress irritation in the tibia from repeated impact that has outpaced recovery. | Tibial stress injuries typically require rest and careful progression back to impact. Triathlon isn’t a healing intervention for this unless running is substantially reduced and guided—conditions not assumed. Therefore none. | [43] |
| Wrist sprain | none | A stretched or irritated wrist ligament, often after a fall, impact, or awkward bend. | Wrist sprain rehab is specific and time-dependent; triathlon itself doesn’t reliably provide that. So none. | [42] |
| Wrist tendon pain | none | Irritation of wrist tendons from repeated gripping, racquet use, lifting, or supporting body weight. | Tendinopathy healing depends on targeted tendon loading and symptom management. Triathlon is not a reliable local rehab intervention for wrist tendons—so none. | [42] |
Past-sport transfer logic
| Past sport | Average correlation (success) | Std dev | Correlation reasoning | Correlation sources |
|---|---|---|---|---|
| american-football-defensive-back | 0.08 | 0.07 | Defensive back success should have a weak positive carry-over to triathlon because there is some overlap in general athletic conditioning and the ability to train hard/adapt. However, triathlon outcomes are highly dependent on sport-specific technique and economy across three disciplines (swimming mechanics and hydrodynamics, cycling efficiency and pacing, running economy) plus transition and long-sustained pacing strategies—none of which are trained as core in defensive back play. Therefore the overall correlation should remain low with moderate variance mainly driven by general endurance base and learning speed for swim/bike/run mechanics. | [45] [46] [47] [48] |
| american-football-line-player | 0.22 | 0.11 | We estimate correlation between **past success** in American football **line player** and **future success** in **triathlon** (swim+cycle+run endurance, including transition effects and pacing). Line-player success implies strength/power, toughness, and ability to cope with high-intensity bouts; however, triathlon success is strongly driven by aerobic/threshold physiology and discipline-specific technique/efficiency. Sources on triathlon prediction show strong reliance on lactate/threshold and VO2/peak power measures; triathlon physiology also compounds across swim/cycle/run, and within-triathlon, discipline-specific performance (e.g., pool swim to swim segment) predicts outcomes—indicating that sport-specific adaptations are crucial. Transfer theory indicates that when the future sport’s action systems differ substantially (continuous endurance pacing and technique vs collision-heavy engagement), cross-sport prediction should be limited. Thus we start with a modest positive prior (shared general athletic capacity and training resilience) but apply a substantial discount for (i) continuous endurance pacing requirements, (ii) discipline-specific technique/efficiency, and (iii) multisport compounding. This yields a realistic Bayesian point estimate of **r ≈ 0.22** with moderate uncertainty (**std ≈ 0.11**). | [49] [50] [51] [52] |
| american-football-linebacker-tight-end | 0.08 | 0.05 | Linebacker/tight end success should correlate only weakly with triathlon overall. There is some overlap in general athletic traits: coordination, strength-to-body-control, and the ability to train hard and tolerate discomfort. But triathlon performance is mainly constrained by long-duration aerobic capacity and economy, pacing strategy, fatigue resistance, and multi-discipline technique (swim/cycle/run efficiency) plus transition skills. Those determinants are largely training-specific and not produced by the short explosive collision/contact demands that define LB/TE roles. So the expected carryover is small and mostly reflects general learning ability and baseline fitness, not transferable technique or primary energy-system specialization. | [53] [54] [55] |
| american-football-quarterback | 0.22 | 0.12 | We estimate the correlation between (A) success as an **American football quarterback** (throwing mechanics, field vision/decision direction, pocket movement) and (B) success as a **triathlete** (multi-discipline endurance: swim+cycle+run; continuous race context), excluding physique/proportional traits. **Why it’s > 0 (raises correlation):** - QB success correlates with **high attentional control, learning efficiency, and composure under pressure**. Those are plausible contributors to adapting training plans and sustaining technique/effort across triathlon. **Why it stays modest (lowers correlation):** - Triathlon performance is strongly governed by **cardiorespiratory fitness, thresholds, economy/efficiency, and discipline-specific training specificity**—not by QB-like passing/distribution skills. - Performance also depends on **transitions and sequencing** (swim→cycle→run) and discipline mechanics, which do not map onto quarterback technique. **Bayesian numeric calibration:** - Start from a dissimilar-sport transfer baseline around ~0.15–0.25. - Because triathlon is endurance/efficiency heavy and QB action affordances differ greatly, keep it near the middle-lower portion of that band. **Final estimate:** **0.22** with **std_dev = 0.12** to reflect large variation depending on whether the athlete already has endurance/cycling/running/swimming background or only quarterback experience. | [56] [57] [58] [59] [60] |
| american-football-receiver-running-back | 0.07 | 0.05 | Receiver/running back performance should correlate only weakly with triathlon success. Shared components include general coordination, willingness to perform at high intensity, and some ability to learn new movement patterns. But triathlon outcomes are heavily determined by sport-specific endurance adaptations: aerobic base development, swimming technique/efficiency, cycling power-to-threshold and cadence/force application over long durations, and running fatigue resistance and pacing strategy across the full race. WR/RB roles are built around short explosive plays and agility/collision traffic rather than long aerobic efficiency or multi-discipline pacing. Thus the expected carry-over remains small (near ~0.07) with moderate uncertainty. | [61] |
| athletics-distance | 0.35 | 0.1 | Distance-running success should correlate moderately with later triathlon success because a large fraction of triathlon performance (especially pacing and fatigue management) is shared with endurance running, and the running leg dominates the skill/conditioning pattern. However, triathlon also requires substantial sport-specific technique in the swim (hydrodynamic position, stroke mechanics, breathing timing, starts/turns/underwaters) and sport-specific mechanical/power expression in cycling (gear-appropriate power, pedaling mechanics, bike handling/positioning). With technique/skills transfer only (excluding body-type traits), the correlation should be meaningfully above near-zero but below very similar-sport transitions. A plausible mean is ~0.35 with moderate uncertainty (std ~0.10; roughly 0.20–0.50). | [62] |
| athletics-jumps-high-jump | 0.1 | 0.08 | High-jump performance should correlate only weakly with triathlon success. The overlap is mostly general athleticism that can be technique-adjacent for learning movement patterns and efficient transitions (elastic leg mechanics, body control, and coordination). However, triathlon is primarily limited by aerobic endurance, fatigue resistance, pacing strategy, and swim/cycling efficiency—plus complex multi-discipline technique and transition skills not trained by high jump. Therefore the expected correlation is small and variable. | [63] [64] [65] |
| athletics-jumps-long-triple-jump | 0.11 | 0.11 | Long jump/triple jump performance reflects explosive power and strong coordination, which can modestly help with triathlon’s technical adaptability (efficient movement patterns and transition learning). However, triathlon success depends far more on aerobic endurance, fatigue resistance, pacing strategy, and sport-specific endurance technique across swim/bike/run. Because long/triple jump training doesn’t directly build these endurance determinants, the average carry-over should be small but positive. The correlation is expected to have substantial uncertainty because many jumpers may have different endurance backgrounds or cross-training histories. | [66] [67] [68] |
| athletics-jumps-pole-vault | 0.08 | 0.08 | Pole vault success should have only a small positive correlation with later triathlon success. Shared factors exist (general coordination, balance, and athletic confidence; some general force production), but triathlon outcomes are dominated by aerobic endurance, fatigue resistance, pacing strategy, and highly discipline-specific technique across swimming, cycling, and running plus transition efficiency. Since pole vault does not primarily train these endurance/technique systems, the average carryover remains low (roughly ~0.01–0.16) and is centered around ~0.08 with moderate variance depending on whether the athlete has an endurance background or quickly develops triathlon-specific training. | [69] [70] [71] [72] |
| athletics-middle-distance | — | — | No explanation provided. | — |
| athletics-sprints-hurdles | 0.09 | 0.06 | Sprints and hurdles should have only a small positive correlation with triathlon performance. The overlap is mainly in general athletic qualities (lower-body power/leg stiffness and ability to accelerate during parts of the run). But triathlon outcomes are strongly constrained by aerobic endurance, pacing, and sport-specific technique/efficiency across swimming and cycling as well as running. Since sprints/hurdles do not train these dominant determinants, the overall carry-over should remain low with meaningful individual variation depending on additional endurance and multi-sport exposure. | [73] [74] [75] |
| athletics-throws-discus | 0.12 | 0.06 | Triathlon performance is mainly constrained by endurance physiology and sport-specific efficiency in swimming, cycling, and running (aerobic economy, threshold management, pacing under fatigue, and efficient technique in each discipline). Discus success is driven primarily by rotational strength, leverage use, and timing/rhythm to produce peak ballistic release force. The direct motor-skill overlap is therefore limited, implying only a small expected correlation. There is, however, a meaningful indirect overlap in general athletic ingredients: trunk/hip coordination, body control, and the capacity to generate force quickly, which can slightly assist learning movement mechanics (especially running form and cycling power transfer) and support the early progression in endurance training. Because discus athletes vary widely in how much endurance (swim/bike/run) they also train, the relationship should be small-to-modest with substantial uncertainty. A realistic Bayesian estimate is an average correlation around 0.12 with std dev ~0.06. | [76] [77] [78] |
| athletics-throws-hammer-throw | 0.03 | 0.03 | Hammer throw success reflects short-duration maximal rotational power and dynamic balance. Triathlon success is dominated by aerobic endurance, energy-system management, pacing, and sport-specific technique economy across swim, cycling, and running (including transition efficiency and fatigue tolerance). While general motor-learning and coordination can transfer slightly, the dominant determinants differ strongly, so only a tiny positive correlation is expected. | [79] [80] |
| athletics-throws-javelin | 0.12 | 0.08 | Javelin performance tends to correlate with general athletic coordination and the ability to produce force quickly with good kinetic-chain sequencing. Those traits can slightly help athletes adapt to triathlon training (e.g., handling workouts, learning technical cues faster, tolerating high training loads). But triathlon success is primarily driven by endurance physiology and pacing/efficiency across three cyclic sports (swim stroke efficiency, cycling pedaling economy, running economy), plus long-duration fatigue resistance and race execution. Javelin’s technique and energy-system emphasis (speed-power, short high-intensity action, shoulder/arm throwing mechanics) overlaps only weakly with those determinants. Therefore the carry-over should be small but positive—roughly low-to-mid 0.1s on average. | [81] |
| athletics-throws-shot-put | 0.09 | 0.08 | Shot put success reflects maximal whole-body force production, trunk bracing, and explosive coordination. Triathlon performance, however, is dominated by aerobic fitness, fatigue resistance, pacing strategy, and sport-specific technique across swimming, cycling, and running over long duration. The dominant determinants therefore overlap only partially. Some general transfer is plausible through coordination, body tension/bracing, and movement efficiency (helpful for reducing technique breakdown and improving starts/turns), but shot put does not train the core endurance and tri-discipline technique requirements. Hence the correlation should be small but slightly positive, with substantial individual variation depending on how quickly the athlete can build aerobic capacity and learn swim/bike/run mechanics. | [82] [83] [84] [85] |
| badminton | 0.03 | 0.03 | Badminton-to-triathlon should have only a weak positive correlation because both involve intermittent high intensity and some general aerobic fitness, plus coordination and ability to keep form under fatigue. But triathlon performance is heavily determined by swimming/cycling/running specific technique and long-duration aerobic adaptations, which badminton does not train directly. Thus the expected correlation is near the low end (~0.00–0.06), centered around ~0.03. | [86] |
| baseball-catcher | 0.05 | 0.04 | Baseball catcher success should relate only weakly to triathlon performance. Shared transferable elements exist at the meta-level: comfort with technique coaching, staying composed, and general athletic coordination plus the habit of executing skills reliably under pressure. But triathlon success is dominated by sport-specific endurance determinants and technical skill across three disciplines (swim stroke economy, cycling power/positioning, running mechanics and pacing) plus transition proficiency and fatigue management across a long continuous event. Catcher receiving/blocking/throwing doesn’t meaningfully train the propulsion mechanics, aerobic efficiency, or pacing/threshold skills required for swim-bike-run. Therefore, the predictive carryover should be near-zero positive with moderate dispersion (some athletes may have strong general endurance or will adopt endurance training quickly). Negative correlation is unlikely under a technique-only framing because the main issue is limited transfer rather than harmful transfer. | [87] |
| baseball-field-player | 0.08 | 0.06 | Baseball field players can correlate modestly with triathlon success mainly via general attributes: staying engaged over long sequences (innings), baseline cardiovascular fitness from gameplay/conditioning, and the learning mindset from repeated performances. However, triathlon results depend heavily on swim-bike-run specificity: each discipline’s technique/efficiency (swim stroke economy, cycling power and cadence management, running mechanics and aerobic economy), transitions, and training adaptation across months/years. Baseball fielding does not directly train these endurance-specific motor patterns. Thus the expected carryover is small-to-modest and variable—often near zero for athletes without multi-discipline endurance training, slightly higher for those who also do running/swimming/cycling. A plausible estimate is ~0.08 average with ~0.06 standard deviation. | [88] [89] |
| baseball-pitcher | 0.04 | 0.04 | Pitcher → triathlon should have only a small technique/mentality carryover. Shared elements are mainly generic: being trained to repeat a complex technical action under pressure, and having discipline for high-intensity practice. However, triathlon performance is dominated by endurance physiology and sport-specific technique/economy across swimming, cycling, running plus transitions. Overhand throwing mechanics from pitching don’t map onto these determinants (especially pacing and stroke/ride/run efficiency). With body-proportion traits excluded, the expected correlation should be close to zero with a slight positive value due to general training habits. A plausible average is ~0.04 with modest uncertainty. | [90] [91] [92] |
| basketball-big | 0.06 | 0.04 | The carry-over from basketball Big to triathlon should be small but positive once body-proportion traits are excluded. Basketball Big can reflect general conditioning, coordination, and fatigue tolerance that slightly help triathlon adaptation. However, triathlon performance is dominated by highly technique- and equipment-specific skills across three sports (swim, bike, run) plus transition work. Since basketball Big doesn’t train these mechanics, the predicted correlation stays near the low end (~0.04–0.08). | [93] [94] |
| basketball-guard | 0.05 | 0.05 | Basketball guards often build a modest aerobic base for their role and practice managing repeated efforts with changing pace. That can slightly predict how quickly someone adapts to triathlon training volume and how well they handle sustained exertion. However, triathlon performance is dominated by cycling/running/swimming-specific endurance efficiency, stroke/stride/cadence mechanics, and transition skills—plus a large amount of event-specific technical practice. Basketball does not train the core technique and movement patterns for these legs. With body-proportion effects excluded, the remaining overlap is mostly general conditioning and learning rate, yielding a small positive correlation (~0.05) with limited predictive power and moderate uncertainty. | [95] [96] |
| basketball-wing | 0.06 | 0.05 | Basketball wing success should relate only weakly to later triathlon success. The main carry-over is general fitness, coordination, and training/adaptation habits, which can help early progress and fatigue tolerance. But triathlon performance is dominated by sport-specific efficiency across swim/cycle/run and careful pacing, with substantial technique and structural mismatch. Therefore the expected carry-over is small but positive: ~0.06 average with ~0.05 uncertainty. | [97] [98] [99] [100] |
| boxing | 0.04 | 0.03 | Boxing should have only a weak positive correlation with triathlon success. The transferable layer is mainly psychological/behavioral: coping with discomfort, discipline through hard training, and some basic pacing/motivation under fatigue. But triathlon performance is dominated by event-specific techniques (swimming stroke and turns, cycling power and efficiency, running economy) plus sustained aerobic conditioning and transition execution. Boxing does not train these technical and energy-system primitives. Because technique overlap is low and energy demands differ strongly, the expected correlation stays near the low end with limited predictive power. | [101] [102] [103] [104] [105] |
| climbing-bouldering | 0.03 | 0.05 | Bouldering success mainly reflects short-duration explosive strength, grip/upper-body force production, and coordinating complex body positions. Triathlon success is dominated by aerobic capacity, lactate threshold, pacing control, and highly sport-specific movement economy across swim/cycle/run. The overlap is mostly in general “enablers”: body tension/bracing, proprioception, and motor-learning discipline. This can slightly help someone acquire technique and stay coordinated early in the race. But the dominant determinants—endurance physiology and three-specific propulsion mechanics—share little similarity with bouldering. Therefore the expected carryover is very small but likely slightly positive, with moderate variability depending on how quickly the athlete builds endurance after switching. | [106] [107] [108] |
| climbing-lead | 0.22 | 0.1 | Lead climbing success is driven by movement economy, pacing to avoid early pump/grip failure, and maintaining technical execution as forearms/grip fatigue and discomfort accumulate. Triathlon success also depends on pacing and sustaining efficiency while fatigued across a long event, where technique discipline (not only raw aerobic power) matters. The overlap is therefore meaningfully positive in shared “effort regulation + form preservation under fatigue” and general endurance training responsiveness. However, lead climbing does not directly train the three triathlon-specific locomotion/technique systems (swim stroke mechanics/hydrodynamics, cycling position/cadence/threshold work, and running stride mechanics). Those differences limit predictive strength. So a realistic Bayesian-style estimate is a moderate positive correlation around ~0.22 with fairly wide uncertainty (~0.10), reflecting that some climbers may already have swimming/cycling/running background (raising transfer) while others will not. | [109] |
| climbing-speed | 0.04 | 0.05 | Climbing speed performance mainly reflects explosive upward acceleration, tight body tension control, balance, and the ability to execute a short, repeatable high-intensity sequence on a standardized course. Triathlon success (across swim, bike, run plus transitions) depends much more on sustained aerobic/threshold endurance, pacing strategy, and sport-specific movement efficiency in water and on wheels/ground. There is limited overlap in the performance determinants beyond general qualities like coordination, balance, and learning rate. Because triathlon is dominated by endurance and technique-specific economy across three disciplines, the carry-over from climbing speed should remain close to zero. A realistic estimate is ~0.02–0.06 with a center around ~0.04. | [110] [111] [112] |
| cricket-all-rounder | 0.12 | 0.08 | Cricket all-rounder success should have a small-to-modest positive correlation with triathlon success mainly through endurance/effort management, training discipline, and ability to adapt under fatigue. However, triathlon is dominated by sport-specific efficiencies across swimming, cycling, and running plus transition skill—none of which cricket develops directly. With physiology/efficiency confounds excluded, the remaining learnable/mental carryover is limited, yielding an estimated correlation around ~0.12. | [113] [114] [115] [116] |
| cricket-batter | 0.04 | 0.04 | Cricket batter success is mainly driven by perceptual timing and hand–eye coordination for striking a moving ball, plus stable lower-body control in discrete batting actions. Triathlon performance is dominated by endurance-specific determinants across three disciplines: aerobic capacity/efficiency, biomechanical technique for swimming/cycling/running, pacing and energy distribution, and fatigue resistance over long duration. While there is some generic overlap—coordination, balance, and competitive discipline—triathlon-specific learned motor patterns and physiological systems are largely different. Therefore the correlation should be near zero with a small positive value. | [117] |
| cricket-bowler | 0.07 | 0.08 | Triathlon success is largely determined by swimming/cycling/running-specific endurance, technique economy, pacing, and transition practice. Cricket bowler technique (overarm delivery mechanics) shares little direct learned motor overlap. Therefore technique-based transfer is small. A modest positive correlation can still occur through general endurance tolerance, competitive mindset, and faster adaptation/practice structure typical of high-level athletes. Because triathlon-specific determinants dominate variance and cricket bowlers differ in conditioning background, uncertainty should be relatively large. Hence a Bayesian estimate near ~0.07 with std dev ~0.08 is appropriate. | [118] [119] [120] [121] [122] |
| cricket-wicketkeeper | 0.06 | 0.06 | Cricket wicketkeeper success should correlate only slightly with triathlon success. Some carryover exists through general endurance/conditioning habits, coordination maintenance, and the ability to stay mentally sharp for long periods. But triathlon outcomes are dominated by sport-specific endurance and technique across swimming, cycling, and running plus pacing/transitions, which wicketkeeping does not train. Net: very small positive correlation near ~0.06. | [123] [124] [125] [126] |
| cycling-mountain-bike-cross-country | 0.7 | 0.14 | Mountain bike cross-country performance should have a high positive correlation with future triathlon success (ignoring body-size traits). The dominant carry-over is the aerobic “engine,” pacing/effort regulation, and the ability to stay effective while fatigued—these are central to both MTB XC and triathlon cycling/run endurance portions. The correlation is not extremely close to 1.0 because triathlon also depends heavily on swim technique/efficiency, run mechanics/economy, and race-day transition execution (T1/T2), none of which MTB XC trains directly. Still, the endurance base and experience with repeated surges/intensity variation make the relationship strongly positive overall. | [127] [128] [129] |
| cycling-road-climber | 0.52 | 0.16 | A cycling road climber has a substantial performance advantage for triathlon because triathlon’s key determinant is a strong aerobic endurance engine and the ability to pace and maintain efficiency continuously. The climber’s power-to-weight and sustained-effort skill transfers directly to the cycling segment and indirectly supports endurance consistency in the overall race. However, triathlon success requires high-level swimming technique and running mechanics, which are not inherently trained by cycling climbing. Because this technique-specific gap is large, the correlation cannot reach very high values. Overall, the expected correlation is moderately strong (around the low-to-mid 0.5s) with substantial variability based on prior swimming/running competence and triathlon-specific training history. | [130] [131] [132] [133] |
| cycling-road-sprinter | 0.58 | 0.2 | Cycling road sprinter success should correlate strongly—but not perfectly—with triathlon success because triathlon contains a substantial cycling component and shares key endurance/effort-management skills. However, triathlon performance depends heavily on swimming and running technique/economy and on converting bike endurance into run form (a specialization mismatch for many sprinters). With technique/skill-only transfer framing (excluding physique/proportions), the expected carry-over is moderately strong (mid-to-high 0.50s) with fairly wide uncertainty (~0.20) due to variable swimming/running crossover among cycling sprinters. | [134] [135] [136] [137] [138] |
| cycling-road-time-trialist | 0.62 | 0.18 | Cycling road time-trialist success should correlate strongly with triathlon success, because a major share of triathlon depends on aerobic/threshold capacity and the ability to sustain high power on the bike—traits that TT riders develop very directly. That creates a substantial positive relationship. However, triathlon also requires high-level swim and run skills/efficiency (water technique, breathing coordination, and run economy/impact tolerance). Those sport-specific determinants are not trained by cycling TT, so some strong TT cyclists will still have weaker triathlon results, and some average TT cyclists with excellent swim/run backgrounds can do well. This sport-specific mismatch keeps the correlation from becoming extremely high. Therefore an average correlation around ~0.62 with a moderate standard deviation is realistic. | [139] [140] [141] |
| cycling-track-endurance | 0.75 | 0.12 | Cycling track endurance should correlate strongly with triathlon success because the “engine” (aerobic/mitochondrial capacity, fatigue resistance, and pacing/effort control) is highly shared, and cycling is literally a core segment of triathlon. The correlation won’t be extremely close to 1.0 because triathlon performance is also limited by swim efficiency/technique, run economy/impact mechanics, and transition skill; endurance cycling does not directly teach those. A realistic average therefore is high: ~0.65–0.85. Point estimate: 0.75 with moderate uncertainty (SD ≈ 0.12). | [142] |
| cycling-track-sprint | 0.27 | 0.16 | Cycling sprint track success should correlate moderately with triathlon success because sprint cyclists provide a technical/fitness base in cycling and a strong ability to produce and repeat power, and they are accustomed to high-intensity training. However, triathlon is dominated by sustained endurance, pacing over long durations, and especially sport-specific technique for swimming plus running economy and how well you transition between modes. Since those components are not trained by velodrome sprinting, the correlation should be positive but not high. A plausible Bayesian estimate is ~0.27 with fairly high uncertainty (~0.16), reflecting that some sprint cyclists transition well if they already have decent aerobic/running/sytem adaptation, while others struggle significantly. | [143] [144] [145] |
| fencing-epee | 0.03 | 0.05 | Epee-to-triathlon should be very weakly positive. Epee can correlate with triathlon learning because it supports general coordination, balance, and the ability to execute well-timed movement under pressure. However, triathlon performance is overwhelmingly constrained by aerobic power (VO2/threshold), fatigue resistance, and swimming/cycling/running technique efficiency and pacing—determinants not meaningfully trained by epee. Thus technique/skill carry-over is minimal and the expected correlation stays near ~0.03 with moderate individual variance. | [146] [147] [148] |
| fencing-foil | 0.05 | 0.06 | Foil fencing should have only a very small positive correlation with triathlon success. Technique-neutral skills from fencing—general coordination, precise timing of bursts, attention control, and learning discipline—may help someone adapt to new training and make better tactical pacing decisions. However, triathlon performance is dominated by endurance-specific determinants that are largely absent in foil: swimming/bike/run biomechanics, aerobic efficiency, lactate threshold, energy-system development, and sport-specific pacing across disciplines. Because the main performance drivers are energy-system/technique-specific rather than broadly transferable, the expected correlation remains near zero with modest variance across athletes. | [149] [150] [151] |
| fencing-sabre | 0.06 | 0.07 | Fencing sabre and triathlon overlap mainly in general, technique-independent components: coordination, ability to react under pressure, and maintaining movement discipline when tired. Triathlon performance is dominated by event-specific determinants: long-duration aerobic/anaerobic endurance across swimming, cycling, and running; pacing strategy; and transition proficiency. Those are not meaningfully trained in sabre fencing. Therefore the correlation should be small (near the low end of “different sports”), slightly above zero, because only general athletic qualities carry over and most performance variance does not. | [152] |
| field-hockey-goalkeeper | 0.08 | 0.06 | Field-hockey goalkeeper success should correlate only modestly with triathlon success. The transferable elements are mostly general: balance/body control, coordination, attentional composure, and the ability to train hard and maintain form under repeated high-intensity moments. But triathlon performance is governed by multi-discipline, highly technical endurance mechanics (swimming stroke efficiency and pacing, cycling aerodynamics/cadence/efficiency, running economy, and transitions). Those are largely non-transferable from hockey goalkeeping. Therefore the expected correlation is small but positive (~0.08), with individual variability influenced by how quickly an athlete adapts their training and learns new endurance techniques. | [153] [154] [155] [156] |
| field-hockey-outfield | 0.07 | 0.07 | Field-hockey outfield success should have a weak positive correlation with triathlon success. The transferable component is mostly general: aerobic/anaerobic fitness base, ability to sustain repeated effort, and staying coordinated and mentally focused when tired—traits that help with triathlon pacing and learning. However, triathlon is dominated by sport-specific technique across swimming, cycling, and running plus transition (T1/T2) execution and event-specific pacing. Since hockey outfield roles don’t directly train those mechanics, the technique-based overlap is limited. With technique-only transfer and excluding body-proportion traits, the correlation should remain low (plausibly ~0.00–0.16), centered near ~0.07 with moderate uncertainty. | [157] [158] |
| golf | 0.05 | 0.04 | Golf success should have only a small positive correlation with triathlon success. The only strong carry-over is general technique-learning ability, composure, and the ability to stick to a plan over a long performance. However, triathlon performance is dominated by endurance physiology and sport-specific movement mechanics (swim/bike/run and transitions), which golf does not train. Therefore the correlation remains low but not zero due to mental/routine transfer. | [159] [160] [161] [162] |
| gymnastics-artistic | 0.05 | 0.04 | Artistic gymnastics should have only a slight positive correlation with triathlon success. The overlap is mainly in transferable technique-learning traits (coordination, body control, posture, balance recovery), which can help early adoption of movement mechanics across swimming/bike/run. However, triathlon outcomes are dominated by endurance-specific physiology and large sport-specific training adaptations (aerobic power/efficiency, lactate/terrain fatigue tolerance, and discipline-specific technique in water/saddle/ground). These dominant determinants do not overlap strongly with artistic gymnastics. Therefore the expected carryover is small (near ~0.05) and unlikely to be meaningful as a predictor. | [163] [164] [165] |
| gymnastics-rhythmic | 0.1 | 0.08 | Rhythmic gymnastics should correlate positively with triathlon performance mainly through transferable prerequisites: excellent balance/proprioception, strong trunk control, coordinated whole-body movement, and a faster learning rate for technique. These can improve movement efficiency and reduce wasted motion during transitions and during each segment. However, triathlon success is strongly constrained by endurance-specific determinants: aerobic power, lactate threshold, muscular endurance across long durations, and three-sport technical conditioning (swim/bike/run) plus pacing strategy. Rhythmic gymnastics does not provide the dominant stimulus for these metabolic and sport-specific endurance adaptations. So the expected carryover is modest but positive. A plausible Bayesian mean is ~0.10 with std dev ~0.08 due to meaningful uncertainty driven by endurance/triathlon-related background differences. | [166] [167] [168] [169] |
| gymnastics-trampoline | 0.05 | 0.04 | Trampoline should have only a weak positive correlation with triathlon performance. The transferable component is mainly general neuromotor skill—balance, body awareness, and learning ability—that can help with keeping mechanics tidy and recovering from minor form breaks early in the race. However, triathlon results are dominated by aerobic capacity, fatigue resistance, pacing strategy, and sport-specific propulsion/technique (swim, bike, run). Because trampoline does not build the endurance physiology or the segment-specific propulsion mechanics, the expected correlation stays very small (around ~0.05) with moderate uncertainty. | [170] [171] [172] |
| handball-backcourt | 0.05 | 0.04 | Handball backcourt can correlate slightly with triathlon because both can reward: (1) maintaining concentration and repeatable effort under fatigue, (2) managing pace across a longer match-like duration, and (3) general coordination. But triathlon success is heavily driven by discipline-specific skills/conditioning: - Swim: stroke mechanics, propulsion efficiency, and open-water sighting. - Bike: power-to-weight delivery, cadence/torque strategy, and aerodynamics. - Run: running economy, biomechanical stiffness/elasticity patterns, and pacing. Handball backcourt’s main technique (throwing/shooting/perimeter play) doesn’t transfer directly to those endurance mechanics. Therefore correlation should be close to zero but above it due to general fitness and effort-control, yielding ~0.05 with modest variability (~0.04). | [173] |
| handball-goalkeeper | 0.03 | 0.04 | Handball goalkeeper success may correlate slightly with triathlon because both can reflect general coordination, body control, and mental resilience—traits that help someone adapt to a new sport. But triathlon outcomes are driven primarily by endurance-specific technique and physiology across swimming, cycling, and running (aerobic economy, pacing, stroke/stride/cadence mechanics, repeated training adaptation, and transitions). Handball goalkeeping does not build those core determinants, and its reactive/catching technique isn’t transferable. Therefore carry-over should be very small (close to zero) but likely not exactly negative. | [174] [175] |
| handball-pivot | 0.02 | 0.02 | Handball Pivot performance is mainly driven by close-quarter balance, bracing under contact, fast ball-handling decisions, and short explosive actions. Triathlon performance depends on sustained aerobic endurance across three disciplines (swimming, cycling, running), including stroke/stride economy, pacing across a long race, and efficient transitions (T1/T2) with discipline-specific technique. There is some weak overlap in general athletic factors: coordination, ability to train hard, and mental toughness for uncomfortable effort. But the core determinants—endurance pacing mechanics and multi-discipline technical efficiency—are largely different and sport-specific. Therefore carryover should be very small, near the lower bound. | [176] |
| handball-wing | 0.06 | 0.05 | Handball wing and triathlon overlap mainly in broad, technique-agnostic factors: overall athletic coordination, willingness to train hard, and coping with fatigue during competition. That yields only a small positive correlation. Triathlon performance is dominated by sport-specific endurance skills across three disciplines—swim technique/economy, cycling aerobic efficiency/pacing, run economy, plus carefully managed transitions (T1/T2). These motor programs and pacing strategies are largely absent in handball wing training, so carryover should remain low and variable. | [177] [178] [179] |
| ice-hockey-defenseman | 0.04 | 0.03 | Ice hockey defenseman success should have only a very small correlation with triathlon success because the shared component is mostly general resilience and learning discipline, not endurance technique. Triathlon is dominated by sport-specific aerobic economy and mechanics in three separate modalities (swimming, cycling, running) plus pacing across a long, continuous event. Hockey does not provide that technical or physiological foundation. Therefore the expected correlation stays near baseline (slightly above zero). | [180] [181] [182] [183] |
| ice-hockey-forward | 0.05 | 0.05 | Ice-hockey forwards and triathlon overlap mainly in general fitness learning: tolerating hard work, maintaining coordination under fatigue, and adapting through training. That supports a small positive correlation. But triathlon performance is dominated by sport-specific technique and efficiency in three disciplines (swim, bike, run) plus transitions and pacing. Ice hockey forward technique (skating + stick/puck) doesn’t train these motor programs directly. Therefore carryover should remain low. | [184] [185] [186] |
| ice-hockey-goalkeeper | 0.03 | 0.05 | Ice hockey goalkeeping can correlate weakly with triathlon success because both can reward general athletic traits: maintaining focus under pressure, coping with fatigue/discomfort during intense sessions, and having good whole-body balance/proprioception. This can slightly raise the chance that a person trains consistently and adapts well to new endurance training. However, triathlon performance is dominated by highly sport-specific determinants across three disciplines: - swimming: stroke mechanics, hydrodynamics, turns/underwaters; - cycling: sustained power/threshold, gearing/cadence strategy, aerodynamic positioning; - running: running economy, pacing, and resilient tendon/muscle function. Goalkeeping does not build these specific endurance techniques or the aerobic-physiology adaptations in the same way. So the expected correlation should be small positive—close to the ‘wildly different’ floor—with substantial individual variation depending on how much aerobic training the hockey goalie already has and how quickly they can learn/execute swim-cycling-running mechanics. | [187] |
| judo | 0.06 | 0.05 | Judo and triathlon overlap mainly in broad, non-specific areas: (1) tolerating discomfort and training through fatigue, (2) whole-body coordination, and (3) staying composed during hard efforts. But triathlon ranking is driven by triathlon-specific determinants: aerobic power and economy in three separate sports, efficient stroke/pedal/stride mechanics, pacing across long durations, and transition skills (swim-to-bike, bike-to-run). Judo’s throws/grappling mechanics and energy demands do not train the core triathlon technique and aerobic systems in the right way. So prior judo success should only weakly predict triathlon success. Expected correlation: small, around ~0.06. | [188] [189] |
| lacrosse-attacker | 0.1 | 0.1 | Lacrosse attacker performance should have a weak positive relationship with later triathlon success through general athletic foundations: repeated running effort across long games, coordination, and a habit of performing under fatigue. However, triathlon is strongly multi-discipline and highly technique/efficiency specific (swim form, cycling posture and power transfer, running economy, plus transitions and pacing over long durations). Lacrosse does not train these constraints directly, so the correlation remains low with fairly high variance depending on how quickly the athlete develops swim/cycle/run efficiency and handles endurance training volume. | [190] [191] [192] |
| lacrosse-defender | 0.05 | 0.04 | A lacrosse defender who performs well should have only a small positive correlation with future triathlon success. Shared transferable components are mostly general: aerobic base, ability to continue working when fatigued, coordination, and competitive mindset. But triathlon success is largely determined by discipline-specific execution across three very different modalities: swimming mechanics, cycling power and pacing/positioning, running economy and gait, plus transitions and overall training periodization. Since lacrosse defending contributes little to the specific technique and movement efficiencies required in each leg, only a modest portion of variance transfers, keeping correlation low. | [193] |
| lacrosse-goalkeeper | 0.05 | 0.03 | Triathlon performance is driven primarily by endurance-specific conditioning, pacing strategy, and—crucially—swimming-, cycling-, and running-specific technique. Lacrosse goalkeeper performance shares only broad athletic and training habits (coordination, composure under pressure, some intermittent aerobic conditioning) that may slightly help adaptation to endurance training. Because the core technical and energy-system requirements are mismatched across the three triathlon disciplines, the expected carryover is very small, near ~0.05 with moderate spread. | [194] [195] [196] |
| lacrosse-midfielder | 0.06 | 0.05 | Lacrosse midfield performance should correlate slightly with triathlon because both reward an “endurance engine”: sustained work capacity, repeat-effort tolerance, and mental toughness under fatigue. That creates some positive carry-over into an endurance multi-discipline. However, triathlon results are strongly determined by triathlon-specific technique and economy in each segment (swimming mechanics, cycling power delivery/aerodynamics, and run economy) plus integrated pacing and transition efficiency (T1/T2). Lacrosse training does not closely build those motor patterns or the specific transition/pacing structure. So the relationship is positive but small, dominated by how quickly the athlete learns the missing swimming/cycling/running-specific skills. Hence an average correlation around ~0.06 with wide spread is plausible. | [197] [198] [199] |
| padel | 0.05 | 0.04 | Padel success should correlate only weakly with triathlon success. The overlap is mostly general: athletes who are skilled at padel often have good coordination, learn motor skills efficiently, and can maintain sharp decision-making during repeated short bursts. Triathlon performance, however, is strongly determined by endurance-specific technique and physiology: swimming stroke efficiency and pacing, cycling power/smooth cadence and aerobic economy, running economy under fatigue, and race-day energy management across continuous stages plus transitions. Padel does not teach the core movement patterns or the long-duration aerobic/threshold adaptations needed. Therefore the carry-over in “being good at padel predicts triathlon success” should be near-zero to low-positive with large variance depending on whether the athlete already trains endurance. | [200] |
| pickleball | 0.05 | 0.04 | Pickleball should have only a very small positive correlation with overall triathlon success. Some conditioning/effort tolerance and general athletic coordination may transfer slightly, but triathlon is dominated by swimming, cycling, running, pacing, and transition skills that pickleball does not train. Therefore the expected carry-over correlation is near zero but modestly positive, around ~0.05 with moderate uncertainty. | [201] [202] [203] [204] [205] |
| rowing-lightweight | 0.35 | 0.14 | Lightweight rowing should show a moderate-to-strong positive correlation with triathlon success because both reward aerobic power, efficiency/economy, pacing, and the ability to repeat hard efforts while maintaining good mechanics over long durations. Lightweight rowing also correlates with strong training discipline and fatigue resistance—useful across all three legs of triathlon. The relationship is not extremely high because triathlon performance is dominated by sport-specific technique constraints: swimming propulsion and turns, cycling pedaling mechanics and aerodynamic positioning, and running impact/braking/stride mechanics. Rowing’s cyclic force direction and water/terrain specifics don’t replicate those. So the expected correlation is in the mid range (roughly low-to-mid 0.30s) with wide variance depending on how quickly the athlete acquires swimming/cycling/running techniques alongside rowing-derived fitness. | [206] |
| rowing-openweight | 0.25 | 0.08 | Rowing openweight success reflects coordinated whole-body propulsion plus strong aerobic/tempo endurance and the ability to maintain technique quality under fatigue. Triathlon success is largely determined by similar endurance foundations (aerobic power, lactate tolerance, repeated high-quality effort), plus efficient pacing and movement economy across long durations. There is some overlap in training habits and conditioning layers, which yields a moderate positive carry-over. However, triathlon also depends on major event-specific technique in swimming, cycling, and running (stroke mechanics, pedaling/cadence, and running biomechanics). Rowing does not train those patterns, so the correlation cannot be very high. Therefore the expected correlation should be modest-to-moderate, around the low-to-mid 0.2s. | [207] [208] [209] |
| rugby-union-halfback-midfield | 0.09 | 0.12 | Rugby union halfback/midfield success should correlate weakly but positively with triathlon performance because both can reflect aerobic capacity, general running-based conditioning, and the ability to keep working under fatigue. However, triathlon outcomes are dominated by multi-discipline, event-specific execution: swim propulsion technique and turns, cycling efficiency and power/pacing strategy, running economy, and transition handling. Rugby’s technical curriculum (distribution/kicking and collision play) provides limited direct preparation for those. Because only part of the rugby “skill stack” transfers (mainly fitness and general pacing discipline) and conversion to efficient swim/cycle/run execution varies a lot between athletes, the expected mean correlation is low with a moderate-to-large standard deviation. | [210] [211] [212] [213] [214] |
| rugby-union-loose-forward | 0.15 | 0.1 | Loose-forward success should correlate modestly with triathlon because both reward a strong general endurance base and the mental toughness to keep performing when fatigued. Rugby’s repeated hard running phases and ruck/carry work can provide a useful foundation for aerobic fitness, and loose forwards often learn to sustain effort despite discomfort. However, triathlon performance is dominated by sport-specific technique and training across three disciplines. Swimming success depends on stroke mechanics and hydrodynamics; cycling depends on power production at the right intensities and cycling mechanics; running depends on running economy, pacing, and impact tolerance. Rugby does not train these event-specific motor patterns. So the expected correlation is low-to-modest positive with fairly wide individual variation: athletes who are naturally endurance-oriented in rugby (and/or have prior swimming/cycling exposure) transfer better than those whose rugby value is mostly contact/ruck power with less aerobic bias. | [215] |
| rugby-union-outside-back | 0.2 | 0.1 | Rugby union outside-back success should have a weak-to-modest positive correlation with future triathlon performance because both rely on general endurance capacity, toughness, pacing/effort regulation under fatigue, and learning transitions between physical tasks. However, triathlon ranking is dominated by swimming efficiency, cycling power/positioning, and run economy—each highly technique- and discipline-specific—and by continuous endurance output patterns and cumulative multi-sport fatigue adaptations that rugby does not directly train. Therefore carry-over is modest (around ~0.20). | [216] [217] [218] [219] [220] [221] |
| rugby-union-tight-five | 0.11 | 0.08 | Tight five rugby and triathlon share some transferable predictors when body-proportion traits are excluded: both reward (1) coping with repeated physical stress and discomfort, (2) disciplined training and recovery habits, and (3) maintaining performance through fatigue and chaotic conditions. However, triathlon success is dominated by sport-specific technical/physiological factors: swimming technique/efficiency, cycling power-to-cadence and pacing, running biomechanics and aerobic economy, plus transitions. Tight five scrummaging/collision work does not directly train these stroke/ride/run motor patterns. Therefore the expected carry-over should be positive but modest: enough for a small advantage in learning endurance pacing and sustaining hard training, but not strong because the decisive determinants are unshared. A plausible average correlation is ~0.11 with moderate uncertainty (some tight-five athletes adapt quickly if they already have good running/swim/cycle background; others will struggle due to the large technique gap across three disciplines). | [222] |
| skiing-alpine-speed | 0.18 | 0.12 | Alpine speed-event skiing should correlate positively with triathlon success because it often contributes substantial transferable endurance foundations: aerobic capacity and fatigue resistance (frequently supported by cross-country skiing components in training), plus general lower-body durability and stability that help across the repeated mechanical stresses of triathlon. However, triathlon success is also heavily determined by sport-specific mechanics and efficiencies in swimming, cycling, and running—areas where alpine skiing provides limited direct technique transfer (especially swimming and running economy, and cycling-specific power delivery). Balancing these, a modest-to-small-moderate positive carry-over is realistic: expected average correlation around ~0.18 with std dev ~0.12, with wide variability depending on how endurance-focused the skier’s background is and how quickly they develop swim/bike/run technical efficiency. | [223] [224] [225] |
| skiing-alpine-technical | 0.08 | 0.07 | Technical alpine skiing can correlate modestly with triathlon success because it builds general aerobic capacity, leg strength/force absorption, and an ability to regulate effort and stay coordinated when conditions change. Those traits can make learning triathlon’s training structure easier and can provide a small base fitness/coordination advantage. But triathlon success depends heavily on highly specific skills: efficient swimming technique (stroke mechanics + breathing), cycling power transfer and handling at speed, and running economy/foot-strike mechanics. Skiing does not substantially train those. Therefore the expected carry-over is small but positive rather than moderate. | [226] |
| skiing-cross-country | 0.45 | 0.12 | Ski cross-country performance correlates strongly with aerobic capacity, movement economy/efficiency, pacing control, and the ability to maintain coordinated technique under fatigue—core determinants of triathlon overall endurance. The relationship should be meaningfully positive but not very high because triathlon is multi-modal: swimming, cycling, and running have very different mechanics and require sport-specific skill (stroke efficiency, pedaling cadence/force application, running mechanics, transitions). Ski XC mainly builds endurance and coordination in skiing-specific patterns, so athletes still need to acquire technique in the other disciplines. Thus a moderate carry-over around ~0.45 is plausible, with uncertainty depending on whether the skier’s success reflects mostly general endurance traits vs skiing-specific technical mastery. | [227] |
| snowboarding | 0.09 | 0.13 | Snowboarding and triathlon share limited but meaningful general prerequisites: dynamic balance, proprioception, and learning/adapting movement efficiently. Those can help an athlete adopt good posture and reduce early technique errors in the triathlon legs. However, triathlon performance is largely determined by endurance-specific aerobic conditioning (swim/bike/run), pacing strategy, fatigue resistance, and sport-specific technique for each discipline. Snowboarding doesn’t directly train those energy-system and propulsion demands. Therefore, a low-to-small positive correlation is expected (~0.09 average) with substantial individual variability (~0.13). | [228] [229] [230] [231] |
| soccer-central-defender | 0.06 | 0.04 | Soccer central defender success should show only a small relationship to triathlon success because triathlon performance depends heavily on sport-specific endurance adaptations and technique in three distinct disciplines (swim, bike, run) plus transitions. The overlap is mostly general: endurance/effort tolerance, mental toughness, and the ability to learn pacing/coordination under fatigue. Those create a weak positive carry-over. A plausible mean is ~0.06 with std dev ~0.04. | [232] [233] [234] [235] |
| soccer-central-midfielder | 0.1 | 0.08 | Central midfield success implies a solid aerobic base, repeated high-effort work capacity, and some pacing/mental resilience—these support an early advantage in triathlon, especially for the ability to handle long training and competition stress. However, triathlon performance is dominated by three sport-specific technique sets (swim, bike, run) and transition execution. Because central midfield doesn’t teach swim/cycle/run mechanics or triathlon-specific pacing, the carry-over is small positive. | [236] |
| soccer-goalkeeper | 0.07 | 0.06 | Goalkeeper success may correlate weakly with triathlon success due to transferable “how to train” and general athletic skills: dynamic balance and coordination, rapid decision-making under pressure, and high motivation/discipline to perform during intense moments. Some goalkeepers also have good basic running and leg turnover, which can help initial running mechanics, plus general comfort with being in discomfort. But triathlon outcomes depend much more on highly specific endurance adaptations across three disciplines (swimming/cycling/running): stroke mechanics, cycling power/positioning, running economy, pacing, and long-term aerobic/threshold development. Goalkeeping does not directly train these motor patterns or the energy-system profile. Therefore the carry-over should be small and variable, largely reflecting general athleticism and training habits rather than direct technique overlap: r≈0.07 with moderate uncertainty. | [237] |
| soccer-striker | 0.1 | 0.07 | Soccer striker performance should correlate weakly-but-positively with triathlon success because both draw on general athletic qualities: sustaining effort, coping with fatigue, and maintaining competitive focus. However, triathlon’s determinants are primarily sport-specific: swimming mechanics/efficiency, cycling power-to-threshold durability and aerodynamic positioning, running economy, plus transitions and long-duration pacing/energy management. Striker training doesn’t provide direct technique or training structure for these. So the carryover should be small and noisy. | [238] |
| soccer-winger | 0.08 | 0.06 | Soccer winger success is expected to have a small positive correlation with triathlon success. The overlap is mainly general endurance ingredients: repeatedly running hard, coping with fatigue, and maintaining coordination under discomfort—these can help for the aerobic and pacing demands of triathlon. But triathlon performance is strongly determined by triathlon-specific technique and pacing across three different modalities. Even if the running leg overlaps somewhat with winger locomotion, the swimming and cycling legs require specialized skills (swim propulsion/streamlining, cycling power production and cadence/aerodynamics), plus transition technique and overall race strategy. Because those sport-specific skills are not trained by soccer winger roles, the carry-over remains low. Therefore an expected average correlation around ~0.08, with meaningful spread depending on whether the athlete already swims and/or bikes regularly or has endurance training beyond soccer. | [239] [240] [241] |
| softball-catcher | 0.03 | 0.03 | Softball catcher success should have almost no predictive relationship with triathlon success. The only shared variance is general athletic qualities: coordination, quick reactive attention, and the ability to train and learn. However, triathlon performance is dominated by endurance conditioning and event-specific technique across swimming, cycling, and running (aerobic economy, pacing control, transitions/T1/T2 efficiency, and stroke/cadence/running mechanics). Catcher training does not meaningfully develop these determinants. Therefore the correlation should be very small positive, close to zero. | [242] |
| softball-field-player | 0.04 | 0.05 | Softball field-player success should have a very small positive correlation with triathlon success because the primary overlap is general athleticism and the capacity to learn and train. However, triathlon outcomes are dominated by endurance physiology, pacing control, and swimming/cycling/running-specific technique and efficiency, plus transition skills. Since these are not developed by softball fielding, carryover remains low. | [243] [244] [245] |
| softball-pitcher | 0.06 | 0.08 | Softball pitching transfers only a limited set of technique/mental habits to triathlon: (1) repeating a technical action with good mechanics, (2) some upper-body coordination and kinetic-chain timing, and (3) experience staying consistent under pressure/fatigue. However, triathlon performance is overwhelmingly determined by aerobic endurance and efficiency across three very specific movement patterns (front-crawl swim, cycling, running), plus pacing strategy and transitions. Underhand pitching mechanics do not map well onto those demands. Therefore a small positive correlation is expected, near the “quite different” baseline with moderate uncertainty. | [246] |
| squash | 0.08 | 0.06 | Squash success may correlate with triathlon success only through general factors: maintaining high effort repeatedly, managing fatigue while preserving coordination, and adapting quickly to training feedback. However, triathlon performance is largely determined by discipline-specific aerobic efficiency and technique: swimming hydrodynamics and stroke economy, cycling power/pacing and pedaling efficiency, running mechanics and economy, and the pacing strategy across a long continuous event (including transition effectiveness). Squash’s intermittent, multi-direction racket movement does not directly train these long-duration, forward-propulsion and technique-dominant skills. Because the overlap is mostly general mental/conditioning rather than event-specific mechanics, the expected correlation should be small positive. Plausible Bayesian-centered estimate: r ≈ 0.08 with std dev ≈ 0.06 (wide individual variation depending on whether a squash athlete’s advantage included unusually strong aerobic base or general training adaptability). | [247] |
| surfing | 0.21 | 0.1 | Surfing should correlate moderately with triathlon success because there is real transfer in technique-neutral athletic ingredients: (1) aerobic conditioning from long sessions and sustained effort, (2) pacing/effort regulation and “when to push” timing, (3) whole-body coordination and balance while fatigued, and (4) practicing movement control under unstable conditions, which can help maintain form across long races. But triathlon outcome is strongly determined by sport-specific efficiency in three disciplines and the transitions: swimming mechanics/streamlining, cycling power and aerodynamic/positional efficiency, running economy (stride/elastic use), and T1/T2 execution. Surfing does not train these specific propulsion and economy systems, so the correlation cannot be high. Therefore a modest positive mean with fairly large variance is most realistic: surfers who also add targeted swim/bike/run training quickly will do much better than those who rely primarily on surfing conditioning and general coordination. | [248] |
| swimming-backstroke-middle-distance | 0.42 | 0.12 | Middle-distance backstroke success is driven largely by aerobic power, pacing/effort regulation, and staying efficient while fatigued—highly relevant to triathlon, where overall race execution and the ability to manage effort across long durations are decisive. However, triathlon requires additional sport-specific skills and energy-system allocations beyond swimming: cycling and running mechanics/fitness, plus open-water swimming constraints (drafting/navigation) and typically freestyle mechanics rather than backstroke. Using a Bayesian adjustment: start from a moderate-to-high endurance transfer baseline, discount for backstroke→freestyle/open-water constraints, and further account for multi-sport conversion variability. This yields a plausible mean correlation of ~0.42 with std dev ~0.12. | [249] [250] [251] |
| swimming-backstroke-sprint | 0.21 | 0.09 | Sprint backstroke success should correlate moderately with triathlon success because triathlon includes a swimming leg where backstroke-related strengths (start/turn/underwater competence and holding technique under fatigue) help. However, triathlon outcomes are largely shaped by cycling and running technique/economy plus fatigue management and transition skills, and by much longer pacing than sprint swimming. Therefore the correlation should be moderate rather than high, reflecting meaningful swim-leg carryover but major missing determinants from the bike/run legs. | [252] [253] [254] [255] |
| swimming-breaststroke-middle-distance | 0.35 | 0.14 | Middle-distance breaststroke success is a fairly strong signal for triathlon because both reward endurance, pacing/rhythm control, and the ability to keep performance quality when fatigued. That yields a moderate-to-high positive carry-over. However, triathlon success depends strongly on cycling and running—bike-specific power production, running economy/impact adaptation, and multi-stage fatigue management—where breaststroke technique only contributes indirectly. Net result: expected correlation is moderate (roughly 0.25–0.5), centered around ~0.35, with substantial individual variation depending on how well the swimmer adapts to bike/run mechanics and transitions. | [256] [257] [258] [259] |
| swimming-breaststroke-sprint | 0.23 | 0.09 | Sprint breaststroke performance indicates strong neuromuscular coordination, high-intensity force production, and technical precision (starts/turns/walls) plus a structured training mindset. Those factors can translate into triathlon as advantages in learning quickly, managing form under intensity, and benefitting from the swimming segment’s technique and efficiency. However, triathlon success is dominated by sustained aerobic efficiency across multiple disciplines and by the swim→bike→run transition and pacing strategy. Cycling and running technique/energy-system demands are largely unrelated to sprint breaststroke technique, and sprint-oriented conditioning does not automatically predict endurance pacing at triathlon effort levels. Therefore the skill/technique carry-over should be positive but modest: enough to make sprint breaststroke athletes more likely to adapt to triathlon than non-sprinters, but not enough to strongly predict high triathlon performance overall. | [260] [261] [262] |
| swimming-butterfly-middle-distance | 0.28 | 0.08 | Butterfly middle-distance success is driven by aerobic capacity, pacing/effort regulation, rhythm/coordination in swimming, and the ability to maintain technique as fatigue rises. Triathlon performance shares a large “endurance substrate” (aerobic engine, fatigue resistance, pacing discipline), so swimming excellence should provide a moderate positive advantage. The main limiting factor is sport-specific mechanics outside the swim leg—cycling and running technique/economy plus transition execution—so the relationship should not be near-perfect. A plausible average carryover correlation is therefore around 0.28 with moderate uncertainty. | [263] [264] [265] [266] |
| swimming-butterfly-sprint | 0.2 | 0.1 | Butterfly sprint performance strongly reflects swimming-specific qualities: anaerobic power/tempo, upper-body coordination, and—importantly—maintaining form under intense fatigue. Those traits help the swimming segment of triathlon and also suggest a general capacity to execute hard efforts with good coordination. However, triathlon success is dominated by a very different technical and physiological mix: sustained aerobic/threshold endurance across cycling and running, economy/pacing over long durations, and transition and bike/run mechanics that are not trained by swim butterfly. So the correlation should be modest rather than small: past swim sprint strength is a meaningful but not decisive predictor because only one-third (at most) of the race mechanics/engine is the swimming you trained. A plausible Bayesian mean is ~0.20 with std dev ~0.10 to capture both the helpful swim transfer and large uncertainty from the unknown balance of cycling/running skills in individuals. | [267] |
| swimming-freestyle-distance | 0.45 | 0.16 | Distance freestyle success strongly overlaps with triathlon’s swimming leg (aerobic/threshold demands and swimming efficiency), and triathlon also shares the broader endurance determinants: aerobic capacity, fatigue resistance, and maintaining technique under load. The main limitation is triathlon-specific additional determinants—cycling and running economy, muscle-specific endurance, and biomechanics—that are only partially trained by distance freestyle. Excluding body-trait effects, this yields a moderate-to-high positive correlation around ~0.45 with substantial uncertainty. | [268] [269] [270] [271] |
| swimming-freestyle-middle-distance | 0.55 | 0.18 | Middle-distance freestyle swimming success is a strong indicator of aerobic conditioning, pacing/effort regulation, and maintaining propulsion technique under fatigue. These factors carry directly into triathlon—especially the swim leg—and also into the overall endurance strategy and recovery between hard segments. However, triathlon outcome is not determined solely by swimming: cycling and running leg economy, power-to-fatigue management, and transition skill are major determinants with limited direct technical overlap from front crawl. Therefore the expected carry-over is substantial but not near-perfect. A moderate-to-strong positive correlation around ~0.55 is realistic with considerable individual variance depending on how quickly the athlete adapts to bike/run mechanics and transitions. | [272] [273] [274] |
| swimming-freestyle-sprint | 0.16 | 0.08 | Sprint freestyle success reflects explosive power expression (starts/turns, high-rate movement) and the ability to execute maximal technique under short, intense stress. Triathlon success, however, is dominated by aerobic power, lactate/threshold control, pacing strategy, and endurance economy across three different movement modes (swim, bike, run). Some carry-over exists: sprint swimmers tend to be comfortable with high-intensity efforts and have strong swim fundamentals, which can help the swim segment and early training adaptation. But the bike/run determinants and triathlon-specific pacing/transition skills are largely untrained by sprint swimming. Therefore the expected correlation is positive but modest, with substantial variability depending on how quickly the athlete develops aerobic capacity and triathlon-specific skills. | [275] [276] [277] [278] [279] |
| table-tennis | 0.05 | 0.05 | Table tennis success should have only a very small positive correlation with overall triathlon success because while some general coordination, balance, and fast learning can help with adopting early technique, triathlon performance is dominated by endurance physiology (aerobic/threshold capacity, fatigue resistance), triathlon pacing strategy, and triathlon-specific technique in swimming/cycling/running plus transitions. Table tennis does not train the core determinants of these, so carry-over remains near zero. A realistic estimate is ~0.05 average correlation with small uncertainty (~0.05). | [280] [281] [282] [283] |
| taekwondo | 0.06 | 0.03 | Taekwondo success should have only a weak positive correlation with future triathlon success. General transfer exists (coordination, trainability, coping with discomfort, ability to learn technique), but triathlon performance is dominated by aerobic endurance, pacing strategy, sport-specific swim/bike/run mechanics, and transition efficiency—skills not trained as primary focus in taekwondo. Therefore carry-over remains small (around 0.03–0.09). | [284] [285] [286] [287] [288] |
| tennis | 0.06 | 0.04 | Tennis should correlate only weakly with triathlon performance. The overlap is mainly general: coordination, balance, and the ability to learn and regulate effort while training. However, triathlon outcomes depend heavily on sport-specific technique and physiology for each leg (swim, bike, run), plus transition efficiency and pacing strategy across modalities—none of which tennis develops in a transferable way. Therefore carry-over should remain small but non-zero. | [289] [290] [291] |
| volleyball-attacker | 0.08 | 0.07 | Volleyball attackers can transfer a small advantage to triathlon via general, technique-neutral learning factors: coordination, training mindset, and experience coping with fatigue in high-pressure rallies. But triathlon success is primarily driven by highly specific endurance technique and pacing across swimming, cycling, and running (plus transitions). Volleyball attacking does not train these motor programs or the pacing/energy-system demands of multi-hour racing. Therefore the expected carry-over is small but positive, around ~0.08, with moderate uncertainty (~0.07) reflecting variability based on whether the athlete already has aerobic endurance exposure beyond volleyball. | [292] [293] |
| volleyball-libero | 0.07 | 0.05 | Volleyball libero performance can correlate slightly with triathlon success because both reward general athletic qualities: (1) maintaining coordination and body control through fatigue, (2) fast-reactive movement habits, and (3) persistence/ability to execute repeated high-attention actions. Those factors can reduce the learning curve for endurance training and help someone stay technically consistent. However, triathlon performance is largely determined by sport-specific endurance and technique across three modes: swimming propulsion and turns/underwaters, cycling power/saddle-position efficiency and pacing, and running mechanics plus aerobic capacity developed through running. Libero volleyball does not train those cyclic endurance techniques or the specific energy-system adaptations (large aerobic base, tempo/interval distribution) needed across all three disciplines. Therefore the technique/skill carry-over is small. Expected correlation: small positive, ~0.07, with modest uncertainty (~0.05). | [294] |
| volleyball-middle-blocker | 0.06 | 0.07 | Volleyball middle blockers develop strong whole-body coordination, good timing, and the ability to produce repeated high-intensity efforts with recovery. Those traits can transfer weakly to triathlon as general movement efficiency, training temperament, and some capacity for sustained work when fatigue builds. However, triathlon performance is dominated by endurance-specific factors: aerobic/threshold physiology across swim, bike, and run; highly discipline-specific technique (front crawl propulsion, cycling pedaling economy, running mechanics); and pacing/energy management over long durations plus transition execution. Volleyball’s net-front blocking and quick attacks do not directly train the continuous aerobic propulsion mechanics or the long-horizon pacing required. Thus the carry-over should be small, giving a low positive correlation overall. | [295] [296] |
| volleyball-setter | 0.06 | 0.07 | Volleyball setters and triathletes share limited transferable elements: general coordination, the ability to learn/repeat technique, and training habits. Those can yield a small positive correlation. However, triathlon success is heavily determined by triathlon-specific technique and physiological development across three disciplines (swimming stroke mechanics, cycling power/efficiency, running economy, plus transition execution and race pacing). Volleyball setting does not meaningfully train those determinants. So the expected correlation is small but nonzero, around ~0.06 with fairly high uncertainty (~0.07). | [297] [298] [299] |
| wrestling | 0.05 | 0.06 | Wrestling and triathlon share mainly general qualities: discomfort tolerance, mental composure under physical stress, and the ability to keep coordination when fatigued. That creates a small positive carry-over. But triathlon success is dominated by sport-specific technique and pacing across three disciplines (swim stroke mechanics, cycling efficiency/cadence, running economy, and transition execution). Wrestling doesn’t directly train those perceptual-motor patterns or the multi-hour pacing skill. Therefore the correlation should remain low and variable. A plausible estimate is ~0.05 average correlation with SD ~0.06. | [300] [301] [302] |
Sources
Measurements sources
| # | Title | Authors | Year | Publisher | Use | URL |
|---|---|---|---|---|---|---|
| [1] | Anthropometry of Olympic Athletes 2016 (Triathlon female) | Authors n/a | 2016 | Topend Sports | Used as the primary anchor for elite female triathlon height (Olympic triathlon average). | Open source |
| [2] | Body morphology and handgrip strength parameters of the female canoe slalom paddlers | Authors n/a | 2024 | Frontiers in Physiology | Used to support that elite athletes of various endurance/upper-body-demanding sports commonly sit near an arm-span-to-height ratio ~1.0 (triathlon-specific arm-span norms are limited). | Open source |
| [3] | Anthropometric Profiling of New Zealand Junior Elite Triathletes | Authors n/a | 2016 | PMC (peer-reviewed) | Used to support that triathlon athletes can exhibit relatively larger arm span compared with some comparator youth samples, reinforcing a slight positive arm-span tilt. | Open source |
| [4] | Computed ratio from modeled inseam and torso length in this spec | Authors n/a | N/A | Inference (computed) | Derived from the modeled inseam and torso length values above. | Open source |
| [5] | Inference from typical elite adult female anthropometric proportions (shoulder breadth relative to stature/body mass) | Authors n/a | N/A | Inference (modeled) | Modeled shoulder width because robust triathlon-specific shoulder breadth means are scarce. | Open source |
| [6] | Inference from adult segment proportions (height partition into torso vs legs) | Authors n/a | N/A | Inference (modeled) | Modeled torso length from height and inseam priors. | Open source |
| [7] | Inference from lean female endurance athlete limb circumference priors | Authors n/a | N/A | Inference (modeled) | Modeled because triathlon-specific ankle circumference means are not well standardized. | Open source |
| [8] | Ape index | Authors n/a | N/A | Wikipedia | Used to interpret ape index as arm span relative to height; the numeric value is modeled for elite female triathletes. | Open source |
| [9] | Inference from adult foot-length scaling with height (triathlon-specific norms lacking) | Authors n/a | N/A | Inference (modeled) | Modeled as a plausible elite female default for shoe-size/lever-length consistency. | Open source |
| [10] | Inference from typical adult pelvic breadth proportions for lean female athletes | Authors n/a | N/A | Inference (modeled) | Modeled pelvic breadth; triathlon-specific bony width norms are not well established. | Open source |
| [11] | Computed ratio from modeled shoulder and pelvic widths in this spec | Authors n/a | N/A | Inference (computed) | Derived from the modeled shoulder width and pelvic breadth values provided above. | Open source |
| [12] | Inference from lean elite female limb circumference priors | Authors n/a | N/A | Inference (modeled) | Modeled wrist circumference for completeness/equipment fit proxies. | Open source |
Traits sources
| # | Title | Authors | Year | Publisher | Use | URL |
|---|---|---|---|---|---|---|
| [13] | Muscle fiber composition/enzyme activity patterns in elite distance athletes (evidence for high slow-twitch predominance) | Authors n/a | 1990s | PubMed-indexed / endurance physiology literature | Used as the key anchor that elite endurance athletes exhibit substantially higher slow-twitch fiber proportions than non-elite populations (triathlon assumed similar for endurance-dominant output). | Open source |
| [14] | Association of muscle fiber composition with health and exercise-related traits in athletes and untrained subjects | Authors n/a | 2021 | PMC (peer-reviewed) | Supports the general endurance vs power distinction: endurance cohorts tend toward greater slow-twitch involvement. | Open source |
| [15] | Relationship of Anthropometric and Training Characteristics with Race Performance in Endurance and Ultra-Endurance Athletes | Authors n/a | 2015 | PMC (peer-reviewed) | Used to justify that multi-sport triathlon outcomes relate to physiology more than any single extreme anthropometric trait; therefore a conservative lean/low-mass-retention tendency is modeled. | Open source |
| [16] | Shape of Success: A Scoping Review of Somatotype in Modern Elite Athletes Across Various Sports | Authors n/a | 2024 | PMC (peer-reviewed) | Used to support that endurance triathlon athletes often trend toward lean athletic builds; ectomorph is used as a pragmatic 'lean maintenance' prior. | Open source |
| [17] | Inference: endurance/technique sports trade off mobility with joint stiffness/force transfer | Authors n/a | N/A | Inference (modeled) | Triathlon lacks universally standardized joint-laxity norms; modeled to balance swim/shoulder range needs with running/cycling stability. | Open source |
| [18] | Inference: arch type is highly individual and often managed with footwear/orthotics in running-based endurance sports | Authors n/a | N/A | Inference (modeled) | Used as a pragmatic optimal-cohort default because arch extremes can be compensated, and strong arch-type universals are not established for triathlon. | Open source |
| [19] | Inference: triathlon heat/cold advantage is situational (venue, pacing, acclimation) | Authors n/a | N/A | Inference (modeled) | No single triathlon-specific universal temperature phenotype; modeled balanced. | Open source |
| [20] | Inference: triathlon technique can be trained bilaterally; no strong universal side advantage at cohort level | Authors n/a | N/A | Inference (modeled) | No robust evidence that elite female triathletes systematically gain from being left- vs right-dominant. | Open source |
Goals sources
| # | Title | Authors | Year | Publisher | Use | URL |
|---|---|---|---|---|---|---|
| [21] | Why You Need to Join a Triathlon Club | Authors n/a | 2025 (published 9 months ago per crawl) | USA Triathlon | Supports that triathlon clubs provide mentorship/learning, which improves the beginner confidence pathway. | Open source |
| [22] | TRiKC Triathlon Club (join the club page) | Authors n/a | N/A | TRiKC | Used as an example that clubs offer group workouts/mentorship that can bolster confidence for amateurs. | Open source |
| [23] | Triathlon (Wikipedia entry) | Authors n/a | N/A | Wikipedia | Confirms triathlon is a multi-discipline endurance sport (swim/bike/run). | Open source |
| [24] | American Heart Association Recommendations for Physical Activity in Adults and Kids | Authors n/a | 2022 | American Heart Association | Supports that aerobic exercise training improves cardiorespiratory fitness/endurance. | Open source |
| [25] | Physical Activity Guidelines (2nd edition) | Authors n/a | 2019 | U.S. Department of Health and Human Services | Supports aerobic activity as a primary route to endurance/fitness improvements. | Open source |
| [26] | ACSM Guidelines for Exercise Prescription (PDF) | Authors n/a | 2011 (guideline document; accessed version) | ACSM (American College of Sports Medicine) | Used to contextualize that strength training is typically recommended separately from aerobic work—important for mapping to strength/power goal alignment. | Open source |
| [27] | Physical Activity Guidelines for Americans: ACSM's Health & Fitness Journal (summary page) | Authors n/a | 2019 | ACSM | Supports that general health guidelines include separate strength training recommendations, implying triathlon alone may under-serve a strength/power goal. | Open source |
| [28] | Physical Activity Guidelines for Americans: ACSM's Health & Fitness Journal (summary page) | Authors n/a | 2019 | ACSM (American College of Sports Medicine) | Supports the general aerobic/strength activity targets relevant to general health and fitness. | Open source |
| [29] | The dose-response relationship between interval-training and VO2max in well-trained endurance runners: A systematic review | Parmar, Arran et al. | 2021 | Journal of Sports Sciences | Shows intervals mainly drive aerobic capacity outcomes in endurance athletes, which supports why triathlon is not strongly aligned with explosiveness by default. | Open source |
| [30] | Why You Need to Join a Triathlon Club | Authors n/a | 2025 | USA Triathlon | Supports that clubs provide learning/mentorship—important for technique mastery in a beginner-friendly way. | Open source |
| [31] | Body Composition Changes after a Weight Loss Intervention: A 3-Year Follow-Up Study | Authors n/a | 2020 | PubMed | Used to reflect that exercise-based approaches alone show inconsistent long-term weight-maintenance/changes without diet support. | Open source |
| [32] | Changes in Triathletes’ Performance and Body Composition During a Specific Training Period for a Half-Ironman Race | Authors n/a | 2019 | PMC (research article) | Provides direct evidence that triathlon training periods can affect body composition, but effects vary with context. | Open source |
| [33] | Chattanooga Triathlon Club – Our Mission | Authors n/a | N/A | Chattanooga Triathlon Club | Supports the idea that triathlon clubs emphasize relationships/community for training. | Open source |
| [34] | Aerobic or Resistance Exercise for maximum Cardiovascular Disease Protection? An Appraisal of the Current Level of Evidence | Authors n/a | 2024/2025 (published recently) | PMC (review) | Provides context that aerobic activity supports health outcomes; used here to support the general mood/stress-benefit pathway (even though it’s not triathlon-specific). | Open source |
Preferences sources
| # | Title | Authors | Year | Publisher | Use | URL |
|---|---|---|---|---|---|---|
| [35] | Triathlon (Wikipedia) | Authors n/a | n/a | Wikipedia | Used to support that triathlon is timed competitive racing with a clear objective. | Open source |
| [36] | How endurance sport and triathlon affects your musculoskeletal system (220 Triathlon) | Authors n/a | n/a | 220 Triathlon | Used to support the idea that cycling/swimming are lower impact than running, while running still drives joint loading. | Open source |
| [37] | Does doing triathlons damage your joints? (220 Triathlon) | Authors n/a | n/a | 220 Triathlon | Used to support the joint-impact tradeoffs across swim/cycle/run. | Open source |
| [38] | Secrets to a Smooth, Speedy Transition (IRONMAN) | Authors n/a | n/a | IRONMAN | Used to support that transitions and execution details are part of race strategy. | Open source |
Injuries sources
| # | Title | Authors | Year | Publisher | Use | URL |
|---|---|---|---|---|---|---|
| [39] | A systematic review of running-related musculoskeletal injuries in runners | Authors n/a | 2021 | PMC | Shows Achilles tendinopathy is a notable portion of running-related injury incidence/prevalence. | Open source |
| [40] | Injury and illness in short-course triathletes: A systematic review | Authors n/a | 2024 | PMC | Indicates most reported triathlon injuries occur during running, supporting exposure to running overuse sites. | Open source |
| [41] | A systematic review of long-distance triathlon musculoskeletal injuries | Authors n/a | 2021 | PMC | Provides overall context that triathlon has substantial musculoskeletal injury burden, especially overuse—suggesting prevention isn’t automatic. | Open source |
| [42] | A Systematic Review of Long‐Distance Triathlon Musculoskeletal Injuries | Authors n/a | 2021 | PMC | Triathlon musculoskeletal injury context; no basis for ACL healing from triathlon participation. | Open source |
| [43] | Injury Prevention, Safe Training Techniques, Rehabilitation, and Return to Sport in Trail Runners | Authors n/a | 2022 | PMC | Lists calf muscle injury among common running-related injuries and emphasizes overuse/strains. | Open source |
| [44] | Shouldering the burden: what all triathletes should know about injury risk | Authors n/a | n/a | Sports Performance Bulletin | Provides qualitative support that shoulder injury risk can be comparatively high in triathletes due to swimming mechanics. | Open source |
Past-sport transfer sources
| # | Title | Authors | Year | Publisher | Use | URL |
|---|---|---|---|---|---|---|
| [45] | General endurance/conditioning transfer (athletic fitness base) | — | — | Sports science/conditioning transfer synthesis | Used to justify a small positive correlation because defensive backs usually build some aerobic conditioning and train hard, which can help early triathlon adaptation. | Open source |
| [46] | Multi-discipline specificity mismatch (swim/bike/run technique) | — | — | Skill acquisition specificity synthesis | Reduced correlation because triathlon success depends heavily on swim technique, cycling efficiency/pacing, and running economy—skills not developed in defensive back coverage. | Open source |
| [47] | Effort-profile mismatch (reactive bursts vs sustained pacing) | — | — | Exercise physiology/transfer synthesis | Further reduced because triathlon performance is dominated by sustained aerobic economy, transitions management, and pacing discipline rather than short explosive reactive movement. | Open source |
| [48] | Learning adaptability and training discipline transfer weakly | — | — | Sports psychology/transfer synthesis | Added a small boost because high-level defensive backs are accustomed to structured training and feedback, helping them learn multi-discipline fundamentals faster. | Open source |
| [49] | Prediction of triathlon race time from laboratory testing in national triathletes | Larsen et al. (as indexed) | 1999 | PubMed (original research) | Used to support that triathlon performance is strongly predicted by physiology across disciplines (VO2peak/peak sustained power and lactate-threshold-type variables), which implies only weak-to-moderate prediction from non-endurance, collision-based football line success. | Open source |
| [50] | (Triathlon/multidiscipline physiology depends on discipline-specific threshold and efficiency; compilation across swim/cycle/run) | Di Salvo et al. (as indexed; for position demands) | 2016 | (ScienceDirect / indexed review content) | Used to support that multisport endurance outcomes depend on multiple discipline-specific physiological factors and their compounding effects rather than a single transferable trait from football line play. | Open source |
| [51] | Does Pool Performance of Elite Triathletes Predict Open-Water Performance? | Ocel et al. (as indexed) | 2022 | PMC (open access) | Used to support that pool swimming performance predicts triathlon swim-segment performance, reinforcing that even inside triathlon, discipline-specific adaptations matter—limiting cross-sport prediction from football. | Open source |
| [52] | Specific and general transfer of perceptual-motor skills and learning between sports: A systematic review | Orlando et al. | 2021 | Applied Cognitive Psychology (ScienceDirect) | Used as the primary transfer constraint: prediction is usually moderate at best when action systems/affordances differ strongly—football line contact power vs continuous endurance triathlon pacing and technique. | Open source |
| [53] | Transfer is limited when primary determinants shift to long-duration endurance/pacing | Zimmerman, Schmidt | N/A | Motor learning / skill transfer theory (domain knowledge) | Used to set a low positive correlation: LB/TE success implies general athleticism and training discipline, but triathlon is dominated by long-duration endurance determinants. | Open source |
| [54] | Triathlon performance is driven by aerobic economy, pacing, and fatigue management | Sports physiology heuristics | N/A | Exercise physiology (domain knowledge) | Reduced correlation because aerobic economy/threshold management and multi-discipline pacing are largely endurance- and sport-specific adaptations. | Open source |
| [55] | Triathlon depends on swimming + cycling + running technique and transitions | Triathlon coaching heuristics | N/A | Coaching/domain knowledge | Adjusted downward further: triathlon outcomes depend heavily on swim/cycle/run technical efficiency and transition execution, which aren’t core for LB/TE. | Open source |
| [56] | Effects of Training on Cardiorespiratory Fitness in Triathletes: A Systematic Review and Meta-Analysis | (Systematic review and meta-analysis) | 2021 | PMC | Supports that triathlon performance is strongly determined by discipline-specific cardiorespiratory fitness (e.g., VO2max, thresholds) rather than generic tactical skill—so QB→triathlon technique transfer should be modest. | Open source |
| [57] | Specificity in the relationship between training and performance in triathlons | (Original research; specificity) | 1996 | PubMed | Supports that performance is predicted best by training in the same discipline, which limits cross-sport correlation from QB. | Open source |
| [58] | Biomechanical and physiological implications to running after cycling and strategies to improve cycling to running transition: A systematic review | (Various authors; transition focus) | 2022 | ScienceDirect | Supports that triathlon success depends heavily on sequencing/transition physiology and mechanics (swim→cycle→run), which QB skills don’t directly train. | Open source |
| [59] | Sex Difference in Triathlon Performance - PMC | (Various authors; triathlon determinants) | 2019 | PMC | Supports that multiple endurance determinants dominate triathlon performance, reducing prediction from QB’s passing/pocket skill set. | Open source |
| [60] | Perceptual-motor skill transfer: Multidimensionality and specificity of both general and specific transfers | Hadlow et al. | 2021 | ScienceDirect | Used to justify a low-to-moderate correlation: QB expertise transfers mainly where perceptual/learning elements overlap, but endurance/discipline mechanics are mostly dissimilar. | Open source |
| [61] | Plausible cross-transfer from American football WR/RB to triathlon | Assumed from general sport-transfer principles (no single paper) | 2026 | Internal sports science reasoning | Chose a low positive correlation because WR/RB success implies general athleticism, coordination, and some ability to handle high-intensity efforts. That can help early adaptation to each discipline in triathlon (learning swimming technique, cycling work, and running economy). However, triathlon performance is dominated by long-duration aerobic endurance, pacing across disciplines, efficient technique in water and on the bike, and fatigue management over hours—adaptations not trained as primary qualities in WR/RB roles. Therefore carry-over should be near the low end. | Open source |
| [62] | Distance running success → triathlon success | Internal Bayesian sports-science reasoning (endurance/skill transfer; no body-type traits) | N/A | Internal | Set a moderate positive correlation driven by shared endurance engine (aerobic economy, fatigue resistance, pacing discipline) that maps strongly to the running leg and partially to overall triathlon work-rate, while discounting major mismatch from swimming (hydrodynamics/technique) and cycling (power/gear/pedaling mechanics). | Open source |
| [63] | General athletic transfer (elastic mechanics, coordination) to endurance movement | — | — | — | Justifies a small positive correlation because high-jump success indicates elastic lower-body mechanics and coordination that can help initial adaptation to running mechanics and transitions in triathlon. | Open source |
| [64] | Energy-system mismatch (explosive vertical takeoff vs aerobic endurance) | — | — | — | Limits correlation because triathlon is dominated by aerobic capacity, fatigue resistance, pacing, and efficiency rather than maximal explosive vertical power. | Open source |
| [65] | Multi-sport technical specificity (swim/cycle/run techniques and transitions) | — | — | — | Reduces correlation further because triathlon performance depends heavily on swim and cycling technique/efficiency and smooth transitions, which high jump does not train directly. | Open source |
| [66] | General endurance/efficiency potential via movement coordination | N/A (modeled estimate) | 2026 | Internal sports science reasoning | Long/triple jump success indicates good whole-body coordination and efficient running mechanics that can modestly help early technical adaptation across triathlon (smooth transitions, economical movement). | Open source |
| [67] | Endurance physiology mismatch (aerobic base and fatigue resistance) | N/A (modeled estimate) | 2026 | Internal sports science reasoning | Triathlon performance is dominated by aerobic capacity, lactate tolerance, fatigue resistance, pacing, and sport-specific endurance technique in swim/bike/run—none of which are trained directly by long/triple jump takeoff/landing work. | Open source |
| [68] | Bayesian uncertainty from athlete subtype and training history | N/A (modeled estimate) | 2026 | Internal sports science reasoning | Transfer depends strongly on whether the athlete already trains endurance (running/cycling/swimming) alongside jumping. Some jumpers cross-train; others specialize in power, causing wide variance around the mean. | Open source |
| [69] | Pole vault → triathlon prior | Bayesian prior: pole vault coordination/power → triathlon endurance athletic baseline (no direct empirical estimate) | 2026 | Internal sports-science heuristic | Sets a low baseline because pole vault indicates general athletic coordination and explosiveness, but triathlon is dominated by aerobic endurance and efficiency across long durations. | Open source |
| [70] | Energy-system specificity and limited endurance transfer | Energy-system specificity: power/skill vs multi-hour aerobic endurance outcomes | 2014 | Sports physiology knowledge base | Reduces correlation: triathlon success depends heavily on aerobic power, lactate clearance, fatigue resistance, pacing, and training-specific adaptations not produced by pole vault. | Open source |
| [71] | Swimming/cycling/running techniques are sport- and discipline-specific | Technique and skill specificity across triathlon disciplines | 2010 | Sports motor learning/biomechanics knowledge base | Further reduces transfer because triathlon performance depends on swimming mechanics, cycling efficiency/aerodynamics, running economy, and transitions—skills not trained by pole vault. | Open source |
| [72] | General coordination helps learning and economy (small) | General coordination/learning ability transfer (small) | 2018 | Sports biomechanics/conditioning knowledge base | Adds a tiny component since pole vault athletes may adapt to new technical training slightly faster, but it doesn’t replace endurance adaptations. | Open source |
| [73] | Explosive leg power transfer to running segments and start phases | Authors n/a | 2026 | Sports science reasoning (no single paper) | Used a low positive baseline because sprints/hurdles imply good lower-body power and leg stiffness that can help on the running portions’ fast accelerations, and in the overall ability to transition between swim/bike to run. | — |
| [74] | Endurance mismatch dominates (aerobic efficiency + pacing) | Authors n/a | 2026 | Sports science reasoning (no single paper) | Reduced correlation because triathlon success is dominated by aerobic capacity, sustainable pacing, technique efficiency in swimming/cycling/running, and fatigue management—areas not trained specifically by sprints/hurdles. | — |
| [75] | General coordination/athletic learning rate across disciplines | Authors n/a | 2026 | Sports science reasoning (no single paper) | Slightly increased correlation since generally athletic, technically clean athletes can learn the coordination of swimming/cycling better and adapt to multi-discipline training faster. | — |
| [76] | Discus power/rotation vs triathlon endurance pacing/efficiency | Transfer-of-learning / specificity principle (general) | N/A | Sports science reasoning (general) | Discus success is dominated by rotational ballistic mechanics and peak-force timing, while triathlon success is dominated by sustained aerobic/threshold efficiency, pacing, and sport-specific endurance skills across three disciplines—so technique overlap is limited. | Open source |
| [77] | Trunk/hip coordination, body control, and general force production | Shared athletic ingredients (general) | N/A | Biomechanics/conditioning reasoning (general) | Throwing disciplines often correlate with good whole-body coordination and the ability to generate and control force; this can modestly help triathletes with running/cycling mechanics and learning efficiency. | Open source |
| [78] | Throwers who also build endurance (swim/bike/run) | Training-history confounding (general) | N/A | Participation/selection reasoning (general) | Observed correlation increases for the subset of discus athletes who also do substantial endurance training; otherwise it stays near baseline, increasing uncertainty (std dev). | Open source |
| [79] | Hammer throw → triathlon: general coordination and force timing | Skill overlap prior (internal) | 2026 | Internal modeling assumption | Small positive transfer via general neuromuscular coordination, balance control, and ability to time powerful movements—helpful for learning swim/bike/run movement quality faster. | Open source |
| [80] | Rotational maximal throwing vs triathlon endurance economy/pacing | Task/energy-system mismatch prior (internal) | 2026 | Internal modeling assumption | Strongly discounted correlation because triathlon performance is dominated by sport-specific endurance determinants: aerobic capacity and efficiency, pacing strategy, repeated-sport fatigue tolerance (swim-bike-run transitions), and cycling/running/swimming technique economy—none of which hammer throw directly trains. | Open source |
| [81] | Skill-transfer model intuition for javelin → triathlon | Internal skill-transfer reasoning (no single paper citation used) | 2026 | Internal reasoning | Estimated modest positive carry-over from shared general qualities: whole-body coordination, ability to generate force/power, and technical repetition discipline. Reduced because triathlon success is dominated by endurance-specific physiology (aerobic economy, fatigue resistance), pacing strategy, and sport-specific cyclic mechanics across swimming, cycling, and running—skills and adaptations not trained by javelin’s speed-power throwing pattern. | Open source |
| [82] | Shot put is dominated by maximal neuromuscular power; triathlon is dominated by aerobic capacity, fatigue resistance, and pacing across long duration. This energy-system mismatch limits skill transfer. | Power vs endurance transfer principles | n/a | Sports science general knowledge | Set a low mean because the dominant determinants differ strongly (burst power vs sustained endurance). | Open source |
| [83] | Shot put success relies mainly on short, maximal-effort output; triathlon performance depends on aerobic/threshold fitness and fatigue tolerance over continuous effort. | Exercise physiology mismatch reasoning | n/a | General exercise physiology reasoning | Further reduced correlation due to limited physiological overlap. | Open source |
| [84] | Throws can improve whole-body coordination, trunk bracing, and movement economy, which may modestly help triathletes with posture and efficiency, especially during starts/turns and running form. | Coordination/bracing carryover reasoning | n/a | General biomechanics & motor control reasoning | Added a small bump for transferable body-control qualities. | Open source |
| [85] | Triathlon requires learning 3 disciplines (swim/bike/run) with specific technique and endurance development; adaptation speed varies widely and creates scatter. | Training specificity and athlete adaptation variance | n/a | General athlete self-selection/transfer variance reasoning | Used a moderate std dev to reflect large individual variability. | Open source |
| [86] | Reasoned overlap (racket-based coordination/interval conditioning → general endurance base) | — | 2026 | Internal model / sports science priors | Used qualitative overlap assessment: badminton provides some aerobic conditioning (continuous rallies plus recovery patterns) and general movement coordination, which can modestly help athletes who start triathlon. However, triathlon success is dominated by sport-specific endurance adaptations across three disciplines (swimming technique/efficiency, cycling power endurance and cadence mechanics, running economy and injury-tolerant durability) plus transitions and pacing across long duration—none of which are directly trained in badminton. Therefore only a very small positive correlation is expected. | Open source |
| [87] | Cross-sport skill carryover estimate: Baseball catcher → Triathlon (overall) | N/A (model-based estimate) | 2026 | Internal sports science reasoning | Used a very low correlation because catcher success transfers mainly general coordination/pressure-handling and training habits, while triathlon success depends strongly on endurance-specific technique/energy-system development across swim-bike-run and transitions. | Open source |
| [88] | Baseball field player -> triathlon (excluding body-proportion effects) | Internal sports-science prior (cross-sport skill/conditioning overlap heuristic) | 2026 | N/A | Baseball fielding can support general aerobic base and repeated-effort tolerance (innings), plus coordination and practice mindset. But triathlon performance is dominated by sport-specific endurance training adaptations in swim-bike-run and technical/efficiency factors that baseball doesn’t provide, so carryover is expected to be small. | — |
| [89] | Transfer of aerobic conditioning and consistency to multi-discipline endurance | General endurance transfer priors | N/A | N/A | Many athletes accumulate some aerobic capacity and are used to sustained effort and training routines, creating a modest positive association with endurance-type future sports, even when technique is different. | — |
| [90] | Transfer of training framework (generic) applied to pitcher → triathlon | General transfer-of-training reasoning (practice discipline + coordination) | 2026 | Internal reasoning | Used to justify a near-zero correlation: some general practice discipline and ability to execute under pressure carries over, but dominant technique/energy-system demands differ. | Open source |
| [91] | Baseball pitching demand profile (short burst skill) | Baseball pitching demand profile (short repeated explosive throwing) | 2026 | Internal reasoning | Supports that pitchers’ key practiced skill is overhand throwing mechanics and short high-power efforts, not endurance pacing. | Open source |
| [92] | Triathlon performance determinants (aerobic endurance + transitions) | Triathlon determinants (endurance, transitions, sport-specific economy) | 2026 | Internal reasoning | Highlights that success is dominated by swimming/cycling/running endurance, pacing, and transition technique—skills not trained directly by pitching. | Open source |
| [93] | General endurance base + learning/fatigue tolerance | N/A (reasoned estimate) | 2026 | Internal sports-science prior | Basketball Big performance can correlate with general athletic conditioning, coordination, and the ability to handle hard bouts with repeated effort. Those traits can provide a small head start for triathlon’s overall endurance demands. | Open source |
| [94] | High sport-specific technique mismatch (swim/bike/run) | N/A (reasoned estimate) | 2026 | Internal transfer model | Triathlon success depends heavily on discipline-specific mechanics and pacing: swimming stroke efficiency, cycling power/cadence and bike handling, and running economy plus transitions. Basketball Big’s core determinants (rim protection/rebounding/interior play) don’t train these endurance-technique systems, keeping carry-over low. | Open source |
| [95] | Basketball guard → triathlon transfer estimate | Internal sports-science priors | 2026 | Model priors | Set a low positive correlation based on general endurance development and pacing awareness from guard play; reduced because triathlon success depends heavily on sport-specific aerobic efficiency in swimming, cycling, and running plus transitions/technique not trained by basketball. | — |
| [96] | Intermittent team sport to multi-discipline endurance correlation | Sports transfer heuristics | 2026 | Model priors | Applied heuristic: general aerobic capacity and learning/mental toughness transfer somewhat, but different movement mechanics and event-specific technique in each triathlon leg keep correlation near the low end. | — |
| [97] | General endurance/work-capacity transfer | Authors n/a | N/A | Sports science reasoning | Basketball wings accumulate repeated high-effort movement and can build a baseline of aerobic fitness and tolerance to fatigue, which may slightly help triathlon development early (particularly running leg). | — |
| [98] | Technique mismatch dominates triathlon performance | Authors n/a | N/A | Sports science reasoning | Triathlon success depends heavily on event-specific technique and efficiency across swim/cycle/run (stroke mechanics, cycling power-to-aero positioning, running economy), which basketball doesn’t train directly, limiting predictive value. | — |
| [99] | Pacing/discipline structure mismatch | Authors n/a | N/A | Sports science reasoning | Basketball is stop-start and reactive; triathlon is continuous with deliberate pacing and transitions. This mismatch reduces how much basketball game performance translates into triathlon race execution. | — |
| [100] | Adaptability/training habits | Authors n/a | N/A | Sports science reasoning | High-performing athletes often adapt quickly, manage training load, and learn new movement patterns efficiently, giving a modest additional correlation beyond pure conditioning. | — |
| [101] | General sports transfer heuristics (combat → endurance multi-discipline) | Authors n/a | 2026 | Internal reasoning | Baseline very small positive carry-over: boxing suggests training discipline and resilience, but triathlon’s core performance drivers are endurance-specific. | — |
| [102] | Effort regulation and discomfort tolerance | Authors n/a | 2026 | Internal reasoning | Slight upward adjustment: boxing builds tolerance for discomfort and the ability to keep form mentally during hard training blocks—useful for enduring long triathlon efforts. | — |
| [103] | Technique and modality mismatch (striking/guard vs swimming/cycling/running mechanics) | Authors n/a | 2026 | Internal reasoning | Downward adjustment: triathlon performance depends heavily on swimming/cycling/running technique, pacing economy, and transitions; boxing doesn’t train these primitives. | — |
| [104] | Energy-system mismatch (round-based bursts vs long aerobic pacing) | Authors n/a | 2026 | Internal reasoning | Slight downward adjustment: boxing is intermittent high-intensity with short recovery patterns, while triathlon relies mostly on sustained aerobic economy and long-duration pacing. | — |
| [105] | Lower predictive power from low shared technique primitives | Authors n/a | 2026 | Internal reasoning | Kept mean conservative because only behavioral/mental aspects overlap; most predictive value should come from triathlon-specific training. | — |
| [106] | Bouldering → triathlon baseline (general motor control + technique learning) | Heuristic prior / motor-learning + balance transfer | 2026 | Internal sports science heuristic | Set near-zero to small-positive because bouldering transfers body control, proprioception, and discipline in learning technique, but does not build the aerobic/threshold engine dominant in triathlon. | Open source |
| [107] | Climb-to-tri: repeated hard-effort tolerance (limited) | Bayesian adjustment for partial overlap via repeated surges + posture control | 2026 | Internal sports science heuristic | Slightly increased because bouldering develops short high-power bursts and the ability to keep coordination briefly when uncomfortable, which can help during swim/cycle/run transitions and surges. | Open source |
| [108] | Weak overlap in aerobic engine, pacing, and discipline-specific biomechanics | Downward adjustment for weak aerobic and sport-specific propulsion overlap | 2026 | Internal sports science heuristic | Reduced because triathlon performance is dominated by aerobic capacity, lactate threshold, fatigue resistance over long durations, and highly sport-specific technique/economy for swimming, cycling, and running—none are trained directly by bouldering. | Open source |
| [109] | Climbing (lead) → Triathlon (endurance multi-discipline) transfer estimate | Internal domain knowledge / cross-skill overlap assessment | 2026 | Internal | Estimated moderate positive transfer mainly from endurance-of-effort and pacing/technique maintenance under fatigue. Discounted because triathlon performance is dominated by swimming/bike/run sport-specific mechanics and energy-system demands, which lead climbing only partially addresses (especially cycling and running locomotion mechanics). | Open source |
| [110] | Energy-system mismatch: speed-explosive climbing vs endurance triathlon | — | 2026 | Internal synthesis | Keeps correlation very low because speed climbing is dominated by short explosive repeatability, while triathlon success is dominated by sustained aerobic/threshold endurance and pacing. | Open source |
| [111] | Shared coordination and training learnability | — | 2026 | Internal synthesis | Adds a small positive amount because climbing speed still reflects strong neuromuscular coordination and the ability to learn technical movement quickly. | Open source |
| [112] | Low direct technique overlap (holds vs swim/bike/run mechanics) | — | 2026 | Internal synthesis | Limits correlation since triathlon performance depends heavily on stroke mechanics, cycling/running economy, and transitions—skills not trained by hold-based climbing speed. | Open source |
| [113] | Endurance and fatigue management transfer | General sports-skill transfer knowledge | n/a | Sports science domain knowledge | Cricket all-rounders spend long periods performing across innings/spells, building fatigue resistance and effort management; triathlon relies on sustained endurance and managing effort across disciplines. | Open source |
| [114] | Repeated training and skill adaptation transfer | General sports-skill transfer knowledge | n/a | Sports science domain knowledge | All-rounders practice multiple skills and adapt under pressure, which can make learning triathlon-specific training blocks easier. | Open source |
| [115] | Triathlon is highly sport-specific across 3 modalities | General sports-skill transfer knowledge | n/a | Sports science domain knowledge | Triathlon success depends heavily on swimming, cycling, and running technique/efficiency and transitions—capabilities cricket does not train in a directly transferable way. | Open source |
| [116] | Aerobic base and body/efficiency confounds excluded | General sports-skill transfer knowledge | n/a | Sports science domain knowledge | Triathlon outcomes correlate strongly with physiological efficiency and body characteristics; since the estimate must ignore body-type advantages, the predictive correlation stays modest. | Open source |
| [117] | Skill overlap between cricket batting and triathlon endurance performance | Assumed from sports-skill overlap heuristics (no single study cited) | 2026 | Internal sports science synthesis | Set a very small positive correlation because cricket batter success suggests general coordination, athleticism, and the ability to execute repeatable mechanics under pressure, but triathlon success is dominated by swimming/cycling/running-specific aerobic efficiency, pacing strategy, and sustained endurance technique that cricket does not train directly. | Open source |
| [118] | Motor-program mismatch reduces cross-sport correlation | Low technique overlap (throwing vs endurance multi-discipline) | N/A | Sports science knowledge (no single citation) | Cricket bowler performance is driven by overarm delivery mechanics; triathlon success is dominated by swimming, cycling, and running endurance-specific technique and pacing. Direct learned-motor transfer is limited. | Open source |
| [119] | Endurance/effort tolerance transfer is weakly positive | Shared endurance tolerance as a general factor | N/A | Sports science knowledge (no single citation) | Bowling often involves repeated technical spells; this can correlate somewhat with general fatigue tolerance and willingness to train hard for long durations. | Open source |
| [120] | Prior sport excellence predicts faster adaptation to new training | Learning/adaptation and practice discipline | N/A | General evidence base (no single citation) | Athletes who perform at a high level tend to learn technique faster and build better training routines—useful in triathlon where three skills must be integrated. | Open source |
| [121] | Triathlon outcomes depend heavily on sport-specific endurance skill | Triathlon specifics dominate outcome variance | N/A | Sports science knowledge (no single citation) | Swimming/cycling/running efficiency, transition practice, and pacing are major determinants; these are not trained by cricket bowling, capping the correlation. | Open source |
| [122] | Cricket bowlers vary in conditioning relevant to triathlon | High between-athlete variability | N/A | Methodological heuristic (no single citation) | Different bowlers emphasize different physical profiles (some power/skill-heavy, others more endurance), increasing uncertainty and lowering predictability. | Open source |
| [123] | Transfer priors: general match endurance/conditioning | — | — | General sports science knowledge | Wicketkeepers are involved for long periods and maintain repeated high-attention movements, which can weakly correlate with general endurance capacity and training consistency relevant to triathlon. | — |
| [124] | Mismatch: triathlon is sport-specific endurance + pacing mechanics | — | — | General coaching principles | Triathlon success depends strongly on sport-specific endurance mechanics, pacing, transitions, and technique in swimming/biking/running—skills not developed by wicketkeeping. | — |
| [125] | Small overlap via coordination and fatigue tolerance | — | — | General training considerations | Both require maintaining coordination and decision quality while fatigued, producing a small positive component through general motor learning/mentality. | — |
| [126] | Residual athletic trait leakage kept low | — | — | General methodological note | Even when body-proportion effects are ignored, some general athletic traits still correlate across sports, but this should keep the estimate near zero to low positive. | — |
| [127] | MTB XC → triathlon prior (shared endurance engine + pacing): high | No single definitive study | 2026 | Internal sports science reasoning | Set high correlation because triathlon success is strongly driven by aerobic power/threshold, pacing, and fatigue resistance—core determinants shared with MTB cross-country. | Open source |
| [128] | Specificity penalty: triathlon adds swim and run technique not trained by MTB | No single definitive study | 2026 | Internal sports science reasoning | Reduced correlation because MTB XC does not teach swim stroke/efficiency or run mechanics, and transitions (T1/T2) and sport-specific muscular endurance differ. | Open source |
| [129] | Uplift via repeated surges + transition robustness (general endurance training quality): moderate | No single definitive study | 2026 | Internal sports science reasoning | Slight upward adjustment because MTB XC includes repeated hard surges and off-road handling that can improve tolerance for intensity changes and help adaptation to long, continuous race stress. | Open source |
| [130] | Endurance engine overlap (aerobic power, efficiency, pacing) | Authors n/a | 2026 | Internal reasoning | Triathlon performance strongly depends on aerobic capacity, pacing/effort regulation, and maintaining efficiency across a long continuous race. A road cycling climber already has a strong aerobic power-to-weight base, which overlaps substantially. | — |
| [131] | Technique specificity limited to cycling segment | Authors n/a | 2026 | Internal reasoning | A cycling climber’s dominant technique is cycling-specific (pedaling mechanics, bike handling). Triathlon also requires swimming technique and running mechanics; those are not trained by cycling climbing, limiting correlation from the technique-learning perspective. | — |
| [132] | Body-weight and force production carry-over (small-to-moderate) | Authors n/a | 2026 | Internal reasoning | Climbers are optimized for producing power relative to body mass and maintaining force under fatigue. This can help with triathlon’s cycling demands and also supports general strength endurance for running and swimming training, but not fully replace sport-specific technique. | — |
| [133] | Variability driven by prior swimming/running exposure | Authors n/a | 2026 | Internal reasoning | Transfer varies greatly depending on whether the athlete already swims/runs well (or has done triathlon training). This increases spread even if the mean is moderate-high. | — |
| [134] | Cycling-to-triathlon endurance/effort regulation overlap | Authors n/a | 2026 | Internal sports-science priors | A road cycling sprinter’s training strongly develops cycling-specific power endurance plus aerobic support and the ability to manage repeated hard efforts. Triathlon performance (especially when conditioned through cycling) benefits from the same endurance/effort-regulation skills. | — |
| [135] | Same-bike skill/conditioning transfer inside triathlon | Authors n/a | 2026 | Internal sports-science priors | Triathlon includes a cycling leg; so cycling success predicts part of triathlon success directly via cycling mechanics, pacing, and power output under fatigue. | — |
| [136] | Missing components: swim and run technique specificity | Authors n/a | 2026 | Internal sports-science priors | Triathlon ranking is heavily affected by swimming (body position, stroke timing, starts/turns/underwaters) and running (stride mechanics/economy and fatigue resistance). These are sport-specific and only weakly trained by cycling sprinter specialization. | — |
| [137] | Specialty mismatch: sprinter vs triathlon’s broader endurance profile | Authors n/a | 2026 | Internal sports-science priors | A ‘sprinter’ cycling specialty may emphasize surges/finishes rather than the sustained, whole-race endurance needed to convert cycling fitness into strong run output after the bike. This reduces the ceiling and increases uncertainty. | — |
| [138] | Variance driven by athlete all-roundness and crossover training | Authors n/a | 2026 | Internal sports-science priors | Some cycling sprinters also train off-bike running and swimming technique, while others don’t. That between-person variance materially widens the correlation distribution. | — |
| [139] | Aerobic/threshold capacity and fatigue resistance strongly determine endurance performance across sports | Endurance training determinants (general) | 2019 | Sports physiology domain knowledge (synthesis) | Used to set a strong positive correlation because cycling time-trial success is a strong proxy for aerobic/threshold and fatigue traits that carry directly into triathlon. | Open source |
| [140] | Time trial performance reflects sustained high power and pacing control | Time trial cycling determinants (general) | 2017 | Cycling physiology knowledge (synthesis) | Supports higher correlation: triathlon performance depends heavily on the bike portion holding hard effort sustainably (and tolerating discomfort), similar to TT. | Open source |
| [141] | Triathlon success depends on multi-discipline execution including swim and run technique/engine | Triathlon determinants (general) | 2018 | Triathlon sport knowledge (synthesis) | Reduces correlation from near-perfect: although cycling is a big component, swim-specific skill (water feel/technique) and run economy/impact tolerance are often limiting and are not trained by cycling TT. | Open source |
| [142] | Overlap heuristic: cycling track endurance ↔ triathlon overall endurance | N/A (inferred from strong endurance-structure overlap rather than a single exact effect-size study) | N/A | N/A | Estimated as high because triathlon success shares the same endurance engine and training priorities with track endurance cycling (aerobic power, fatigue resistance, pacing discipline, repeated high-output work). Cycling is also one of triathlon’s three disciplines, providing the closest possible technical/physiological link. Down-weighted slightly because triathlon also requires transferable-but-non-identical swim and run mechanics and transitions (T1/T2). | Open source |
| [143] | Some shared endurance base and tolerance from track training | Authors n/a | 2026 | Internal domain knowledge | Even sprint-focused track cycling athletes typically build some aerobic/interval capacity and learn to train hard and recover, which helps for triathlon’s endurance demands. | — |
| [144] | Big specialization mismatch: sprint output vs triathlon pacing + run mechanics | Authors n/a | 2026 | Internal domain knowledge | Triathlon performance depends heavily on sustained endurance, pacing strategy across disciplines, and especially running economy/leg stiffness; sprint cycling emphasizes peak power rather than long, efficient propulsion and transition-informed pacing. | — |
| [145] | Run-transition + swim technique increase variance | Authors n/a | 2026 | Internal domain knowledge | Triathlon success is strongly determined by swimming technique (economy/turns), running mechanics after cycling, and transition execution; these are highly sport-specific and create large individual differences, increasing uncertainty. | — |
| [146] | Epee success reflects balance, coordinated movement timing, and tactical decision-making in intermittent bouts | Fencing performance determinants (general) | N/A | General sports science / fencing coaching literature | Supports only small transfer via general coordination, balance, and calm timing; endurance is not a primary determinant. | Open source |
| [147] | Triathlon success is dominated by aerobic capacity, fatigue resistance, and sport-specific efficiency in swim/bike/run | Triathlon performance determinants (general) | N/A | General endurance sports science / triathlon coaching literature | Shows the dominant constraints are aerobic physiology, pacing, and discipline-specific technique—largely absent in epee. | Open source |
| [148] | Transfer tends to be small when one sport’s dominant determinants are physiological/energy-system based rather than technique/perceptual | Skill/fitness transfer principle (general) | N/A | General motor learning / sport science transfer research | Justifies a low correlation because epee is not primarily an endurance-training or pacing-specific sport. | Open source |
| [149] | Transfer of training (motor/perceptual transfer; conceptual) | Transfer of training (general coordination/competition mindset) | n.d. | General sports science literature (no single source) | Supports a small positive carryover via general athletic coordination, timing/decision-making, and composure under pressure. | Open source |
| [150] | Task specificity & energy-system mismatch limits cross-sport prediction (conceptual) | Endurance-specific determinants are different | n.d. | General motor learning / exercise physiology principles (no single source) | Keeps correlation low because triathlon endurance is dominated by swimming/biking/running mechanics, aerobic economy, lactate threshold, and pacing—not trained in foil. | Open source |
| [151] | Limited overlap in pacing/temporal regulation (conceptual) | Partial perceptual overlap in pacing/timing choices | n.d. | General perceptual-motor principles (no single source) | Allows only a tiny uplift: triathlon still requires tactical pacing decisions, but most of performance variance is physiological and technique-specific. | Open source |
| [152] | Estimated carry-over from fencing sabre to triathlon (multi-discipline endurance) | Unnamed (model-based synthesis) | 2026 | Internal sports-science reasoning | Used to estimate a small positive correlation from shared general athletic skills (coordination, fast perception-action timing, ability to keep technique under fatigue-like competitive pressure). Heavily discounted for triathlon-specific determinants: endurance aerobic capacity across three modes, transitions (T1/T2), sport-specific mechanics (swim stroke/turns, cycling power and cadence, running economy), pacing over long duration, and multi-discipline training adaptation not trained in sabre. | Open source |
| [153] | low-to-modest endurance transfer prior | Bayesian prior: low-to-modest transfer between reactive stick/ball goalkeeper technique and multi-discipline endurance execution (internal prior) | 2026 | Internal reasoning | Set baseline low (~0.05–0.10) because field-hockey goalkeeper success is mostly reactive shot-stopping and positioning, while triathlon success is dominated by swimming, cycling, and running-specific technique and pacing. | Open source |
| [154] | general athletic adaptation overlap | General athletic/process overlap: balance, coordination, training adherence under fatigue (small upward adjustment) | 2026 | Internal reasoning | Adjusted slightly upward since goalkeepers perform repeated intense actions with recovery and typically show good body control and composure—useful for building triathlon endurance and keeping technique consistent through fatigue. | Open source |
| [155] | swim-bike-run mechanics mismatch | Mechanics mismatch: multi-discipline technique (swim/cycle/run) differs strongly from goalie mechanics (downward adjustment) | 2026 | Internal reasoning | Reduced because triathlon performance depends on sport-specific propulsion and efficiency (front-crawl/swim starts, cycling aerodynamics/cadence, running mechanics, transitions), which aren’t developed in hockey goalie roles. | Open source |
| [156] | athlete variability in conversion to endurance | Role/context variability across athletes (variance slightly higher) | 2026 | Internal reasoning | Kept std dev modestly higher (~0.06) since some goalkeepers become great endurance learners quickly, while others struggle with the different technical demands and pacing. | Open source |
| [157] | Internal priors: hockey outfield → triathlon (general endurance/effort tolerance) | Authors n/a | 2026 | Internal reasoning | Used a small positive baseline because both reward repeated high-effort work, maintaining technique/decision quality under fatigue, and mental toughness—useful for triathlon pacing and consistency. | — |
| [158] | Technique mismatch discount: triathlon is discipline-specific (swim/bike/run) | Authors n/a | 2026 | Internal reasoning | Discounted because triathlon performance depends heavily on three sport-specific techniques and pacing skills (swim mechanics, cycling power/positioning, running economy, transitions), which field-hockey outfield roles do not train directly. Shared variance is mostly general conditioning and learning mindset. | — |
| [159] | Prior heuristic: golf to triathlon (low direct technical overlap) | Authors n/a | 2026 | Internal sports science heuristic | Set a low positive prior. Golf transfers mental focus, discipline, and technique-learning habits, but triathlon is dominated by endurance training across three disciplines. | — |
| [160] | Mental execution and routine consistency transfer | Authors n/a | 2026 | Internal sports science heuristic | Slightly increase correlation because triathlon rewards steady pacing, maintaining form under fatigue, and executing a plan across long stages—similar in spirit to shot-by-shot routine discipline in golf. | — |
| [161] | Motor/physiology mismatch (club swing vs swim/bike/run locomotion) | Authors n/a | 2026 | Internal sports science heuristic | Decrease correlation because golf does not train swim/bike/run-specific propulsion mechanics, transition execution, or the aerobic/threshold adaptations that drive triathlon performance. | — |
| [162] | Energy-system mismatch (precision vs sustained endurance effort) | Authors n/a | 2026 | Internal sports science heuristic | Further decrease since triathlon outcomes depend heavily on aerobic capacity, lactate threshold, and fatigue resistance across disciplines, not precision striking. | — |
| [163] | Transfer of coordination, posture control, and learning efficiency across sports | Motor skill / coordination transfer (general) | various | Sports science / motor learning literature (general) | Sets a small baseline positive carryover: gymnastics improves body control and movement organization that can help initial triathlon technique adoption and running form/positioning. | Open source |
| [164] | Endurance performance depends strongly on event-specific aerobic capacity and fatigue resistance | Endurance specificity mismatch (dominant) | various | Exercise physiology / endurance training knowledge | Keeps carryover low because triathlon success is dominated by swimming/cycling/running-specific aerobic fitness, lactate tolerance, and high training-volume adaptations not trained by artistic gymnastics. | Open source |
| [165] | Triathlon is a composite of three sports with limited direct overlap from gymnastics | Multi-discipline overlap limitation | various | Sports performance practice knowledge | Reduces the correlation further since gymnastics doesn’t provide direct swimming endurance, cycling power-endurance, or running economy under fatigue. | Open source |
| [166] | Rhythmic gymnastics prerequisites for triathlon efficiency | General proprioception, balance, and trunk control transfer (conceptual) | N/A | Internal reasoning | Set a modest baseline positive correlation because rhythmic improves balance, proprioception, and trunk/whole-body control—helpful for efficient posture and pacing consistency across swim/bike/run. | Open source |
| [167] | How gymnastics can reduce wasted motion and support technique learning | Coordination and movement economy transfer (general) | N/A | Internal reasoning | Adjusted slightly upward since rhythmic training tends to improve coordinated sequencing and landing/recovery mechanics, which can help technique acquisition and reduce inefficiency. | Open source |
| [168] | Why triathlon outcomes depend mostly on aerobic conditioning | Endurance specificity mismatch (limitation) | N/A | Internal reasoning | Adjusted downward because triathlon performance is dominated by swimming, cycling, and running endurance systems (VO2max, lactate threshold), sport-specific adaptations, and pacing strategy—mostly not trained by rhythmic gymnastics. | Open source |
| [169] | Variance from whether the athlete already has endurance and technique training | Background variance (cross-training / prior endurance exposure) | N/A | Internal reasoning | Kept std dev relatively high because transfer is much larger if the gymnast already has endurance training and smaller if they don’t. | Open source |
| [170] | Trampoline improves body awareness and running/landing coordination | General neuromotor/balance transfer (Bayesian heuristic) | 2026 | Internal heuristic synthesis | Provides a small baseline positive correlation because trampoline improves proprioception and coordination that can slightly help keep form in early triathlon movement (technique-only, trait effects excluded). | Open source |
| [171] | Triathlon performance is dominated by aerobic engine and fatigue resistance | Endurance/physiology specificity mismatch (Bayesian heuristic) | 2026 | Internal heuristic synthesis | Reduces correlation: triathlon success depends heavily on aerobic conditioning, lactate handling, fueling strategy, and sustained fatigue resistance—none are directly trained by trampoline. | Open source |
| [172] | Swimming/cycling/running technique and propulsion differ from trampoline | Sport-technique mismatch across disciplines (Bayesian heuristic) | 2026 | Internal heuristic synthesis | Caps further: even if neuromotor control helps learning, each triathlon segment has very specific technique (water propulsion, pedaling efficiency, running mechanics under fatigue) not trained by trampoline. | Open source |
| [173] | Handball backcourt → Triathlon | Authors n/a | 2026 | Internal sports-science reasoning | Estimated near-low positive carry-over via general athletic qualities: coordination, ability to perform under fatigue, and some aerobic base from game conditioning. Reduced because triathlon performance is dominated by sport-specific endurance adaptation and technique across three disciplines (swim stroke mechanics + open-water skills, cycling power/cadence and aerodynamics, running stride economy + pacing) that are largely not trained by handball backcourt. | — |
| [174] | Heuristic overlap mapping (handball goalkeeper → triathlon) | Authors n/a | 2026 | Internal sports-science reasoning | Used transferable components only: general athleticism, coordination, and stress management from reactive goalkeeping. Kept low because triathlon performance is dominated by discipline-specific endurance (swim/cycle/run) and pacing/energy-system conditioning, which goalkeeping doesn’t train. | — |
| [175] | Bayesian adjustment for low shared technique/energy systems | Authors n/a | 2026 | Internal sports-science reasoning | Started with a very low positive prior for largely different sports. Allowed a small increase for trainability and general endurance-adaptability, then capped tightly because the technical and physiological determinants of triathlon (swimming/cycling/running mechanics, aerobic economy, lactate tolerance, transition practice) are different. | — |
| [176] | Heuristic Bayesian estimate using minimal transferable overlap: general conditioning/coordination vs triathlon-specific endurance, pacing, and multi-discipline technique | OpenAI sports-science reasoning model | N/A | N/A | Used to set a near-zero correlation because handball pivot success is dominated by short-burst, ball-contact, and close-quarter decision-making, while triathlon success is dominated by sport-specific endurance (swim/cycle/run economy), pacing strategy, and multi-discipline transitions not trained by handball. | Open source |
| [177] | Handball wing → triathlon: small carryover via training hard and tolerating fatigue | General conditioning and mental toughness transfer | 2026 | Assistant synthesis | Used a low baseline because handball wing success signals fitness and training habits, but triathlon success is largely endurance-and-transition specific. | — |
| [178] | Wing demands: repeated high-tempo efforts, coordination in motion | Handball wing skill requirements | 2026 | Assistant synthesis | Identified partial transfer: coordination, pacing sense in terms of match tempo, and maintaining performance under intermittent fatigue. | — |
| [179] | Triathlon: sport-specific endurance mechanics + pacing across swim→bike→run transitions | Triathlon skill requirements | 2026 | Assistant synthesis | Limited overlap because triathlon depends heavily on swimming/cycling/running technical efficiency, aerobic base, and transition execution (T1/T2) not trained by handball. | — |
| [180] | Cross-sport endurance correlations are driven by sport-specific aerobic economy | Endurance transfer limitations (general) | N/A | Exercise physiology / training principles (general synthesis) | Ice hockey defense is intermittent high-intensity skating + contact; triathlon performance depends heavily on sport-specific aerobic economy across swim/bike/run. | Open source |
| [181] | Technique specificity when primary movement patterns differ | Motor pattern mismatch (general) | N/A | Motor learning literature (general) | Skating mechanics and stick/puck positioning do not substitute for swimming propulsion, cycling pedaling mechanics, and running stride patterns. | Open source |
| [182] | Mental/effort coping transfers more than technique | General fatigue tolerance and concentration transfer weakly (general) | N/A | Sports psychology/training principles (general) | Defensemen learn to stay composed and functional under physical stress and long seasons, which can slightly help triathlon training adherence and technique maintenance. | Open source |
| [183] | Repeated effort under pressure can help early endurance adaptation | Transition/conditioning behavior overlap (general) | N/A | Sports science synthesis (general) | Hockey’s repeated shifts resemble repeated surges more than steady endurance, giving only a small baseline correlation. | Open source |
| [184] | Low positive correlation when sports share endurance conditioning but lack sport-specific technique overlap | General endurance transfer priors (fatigue tolerance + training discipline) | N/A | Sports science synthesis | Used a low starting point because ice hockey forwards and triathlon share endurance/fatigue tolerance and athletic discipline, but triathlon performance is dominated by sport-specific swim/bike/run techniques. | Open source |
| [185] | Ice hockey forward demands (shift-play conditioning + repeated surges) | Ice hockey forward demands | N/A | Training/sport knowledge base | Supports a slight uplift due to transferable conditioning habits: ability to work hard, keep coordination when fatigued, and tolerate intermittent high intensity. | Open source |
| [186] | Triathlon demands (swim, bike, run technique + aerobic base + transitions) | Triathlon endurance demands | N/A | Training/sport knowledge base | Limits correlation because triathlon success relies heavily on swimming technique, cycling and running mechanics, aerobic economy, pacing, and transition execution—most of which aren’t trained in hockey forward play. | Open source |
| [187] | Transfer of learning from ice hockey goalkeeper to triathlon success | General transfer reasoning (conditioning consistency, balance/proprioception, mental composure under fatigue) | N/A | Sports science reasoning (no single empirical dataset specified) | Estimated near-zero carry-over from goalie-specific reflex/positioning to triathlon success; any overlap is mostly via general athletic habits (training consistency, tolerance of discomfort) and some general conditioning/balance rather than triathlon-specific aerobic economy and sport-technique (swim stroke mechanics, cycling power/aerodynamics, running economy/pacing). | Open source |
| [188] | Judo → triathlon via general conditioning, coordination, and fatigue tolerance | Heuristic: general endurance-adaptation and discomfort tolerance transfer | Unknown | Sports science reasoning | Used to keep correlation low but above zero because judo can build repeatable high-effort work capacity, resilience to discomfort, and general coordination that helps initial triathlon adaptation. | — |
| [189] | Energy-system + technique specificity limits transfer to triathlon | Heuristic: triathlon specificity dominates | Unknown | Sports science reasoning | Used to cap correlation because triathlon performance is dominated by sport-specific aerobic economy and technique in swimming, cycling, and running, plus pacing/transition skills—none are trained directly in judo. | — |
| [190] | General aerobic capacity and fatigue tolerance transfer | Internal sports-science synthesis | 2026 | Model reasoning | Slightly increases correlation because lacrosse attackers play long games with repeated high-effort running, building general aerobic base and fatigue tolerance that can help for triathlon’s endurance demands (especially early adaptation to training volume). | — |
| [191] | Multi-discipline technique mismatch (swim/cycle/run specifics) | Internal sports-science synthesis | 2026 | Model reasoning | Reduces correlation because triathlon success depends heavily on sport-specific mechanics and efficiency in each discipline—swimming technique/hydrodynamics, cycling power delivery + bike position, and running economy—none of which lacrosse attacker play directly trains. | — |
| [192] | Training-structure mismatch (interval/contact vs endurance volume) | Internal sports-science synthesis | 2026 | Model reasoning | Further reduces correlation because lacrosse conditioning is interval/chaotic and contact/skill heavy, while triathlon is driven by sustained aerobic volume, pacing strategy across transitions, and efficient cyclic movement; transfer from a single-game sport is noisy. | — |
| [193] | Cross-sport transfer intuition (lax defender → triathlon overall endurance/discipline) | Authors n/a | 2026 | Sports science reasoning | Used a low positive prior because lacrosse defender success implies general fitness, repeated high-effort tolerance, and mental toughness, which can help baseline endurance and training compliance for triathlon. Reduced because triathlon performance is dominated by sport-specific technique and conditioning in swimming, cycling, and running, which lacrosse defending does not directly train. | — |
| [194] | Small transfer from general athletic coordination and training adherence | General sport-transfer reasoning (no single paper) | 2026 | Sports science knowledge synthesis | Goalkeeper success in lacrosse can correlate weakly with general traits like coordination and the ability to train hard consistently, which can support early endurance development for triathlon. | Open source |
| [195] | Large mismatch: triathlon is technique-specific and multi-energy-system | General sport-transfer reasoning (no single paper) | 2026 | Sports science knowledge synthesis | Triathlon success depends heavily on sport-specific endurance mechanics across swimming, cycling, and running plus pacing and transitions. Lacrosse goalkeeping doesn’t train the required movement patterns or endurance-specific technique for those disciplines. | Open source |
| [196] | Energy-system/feedback mismatch increases variance | General sport-transfer reasoning (no single paper) | 2026 | Sports science knowledge synthesis | Lacrosse is stop-start and reactive with contact; triathlon is sustained and repeatable with pacing feedback over long durations. This mismatch increases individual spread and lowers correlation. | Open source |
| [197] | Intermittent-field-sport endurance to triathlon conditioning (limited) | Aerobic base + fatigue tolerance transfer (field to endurance multi-discipline) | N/A | Sports science synthesis (no single study) | Used to justify a small positive correlation because lacrosse midfielders accumulate substantial aerobic work and fatigue tolerance, which help with triathlon’s overall endurance demands. | Open source |
| [198] | Triathlon performance is dominated by discipline-specific technique and economy | Triathlon-specific technique/economy specificity (swim/bike/run) | N/A | General performance knowledge | Reduced correlation because triathlon success depends heavily on swimming technique, cycling power/aero position, and running economy/pacing—motor patterns lacrosse does not train directly. | Open source |
| [199] | Transitions and pacing across disciplines require sport-specific learning | Transition (T1/T2) and pacing-structure mismatch | N/A | General performance knowledge | Further reduced correlation because triathlon includes multi-discipline transitions and integrated pacing; lacrosse is intermittent and ball/stick constrained, so the ‘package’ of skills doesn’t map well. | Open source |
| [200] | Padel-to-triathlon transfer estimate (technique/learning overlap only) | Internal skill-transfer calibration (no external studies provided) | 2026 | Internal reasoning | Assigned a very small positive correlation. Shared: general coordination, reaction/timing, and some ability to perform under intermittent high-intensity pressure. Reduced because triathlon is dominated by discipline-specific endurance and pacing (swimming technique + aerobic cycling efficiency + running economy) and by transition/energy management across long continuous effort—none of which padel’s racket-and-wall rebound mechanics train directly. | Open source |
| [201] | Some aerobic/effort tolerance transfer | Authors n/a | 2026 | Internal reasoning prior | Pickleball includes repeated rallies that can develop a base of aerobic/conditioning and the habit of performing when tired—this can slightly correlate with triathlon endurance readiness. | — |
| [202] | Major technique mismatch across triathlon disciplines | Authors n/a | 2026 | Internal reasoning prior | Triathlon performance depends heavily on sport-specific swimming, cycling, and running mechanics. Pickleball does not train these techniques, so technique transfer is minimal. | — |
| [203] | Pacing and fatigue structure mismatch | Authors n/a | 2026 | Internal reasoning prior | Pickleball is intermittent and structured by rallies, while triathlon requires sustained pacing and efficient energy management across long continuous segments; this weakens predictive correlation. | — |
| [204] | Coordination and general movement skills transfer weakly | Authors n/a | 2026 | Internal reasoning prior | Court agility and coordination can help with running posture/footwork learning and general athleticism, but this is not the dominant limiter for triathlon. | — |
| [205] | Transition/sequence skill (T1/T2) not trained | Authors n/a | 2026 | Internal reasoning prior | Triathlon success includes transitions and discipline-specific execution under fatigue (e.g., bike-to-run). Pickleball provides little direct basis for these, lowering correlation. | — |
| [206] | Transfer reasoning (rowing lightweight to triathlon): aerobic engine, pacing, repeatability vs limited single-discipline overlap | Internal synthesis: lightweight rowing → triathlon | 2026 | Internal synthesis | Used strong overlap in aerobic power/endurance, pacing/race-rhythm, movement economy, and the ability to sustain technical output under fatigue from lightweight rowing. Down-weighted because triathlon success also depends heavily on sport-specific skills for swimming (water hydrodynamics/kick timing), cycling (bike handling + cadence/power modulation), and running (impact/stride mechanics), which rowing does not directly train. | — |
| [207] | Endurance/VO2 and work-rate capacity transfer between endurance sports | Non-specified (shared endurance capacity) | n/a | Sports science consensus | Supports a moderate positive correlation because openweight rowing strongly builds aerobic power/tempo and the ability to sustain hard effort—core determinants of triathlon success. | Open source |
| [208] | Rhythm, pacing control, and efficiency carry over across endurance disciplines | Non-specified (pacing/rhythm/efficiency habits) | n/a | Sports science consensus | Adds another positive component because triathlon rewards smart pacing and movement economy across long efforts, which rowing training emphasizes. | Open source |
| [209] | Triathlon performance is technique- and sport-specific across swimming, cycling, and running | Non-specified (technique specificity across swim/bike/run) | n/a | Biomechanics & motor learning consensus | Caps the correlation since rowing does not directly train swimming stroke mechanics, cycling pedaling/cadence, or running mechanics; most event-specific technique still must be learned. | Open source |
| [210] | General aerobic/effort tolerance transfer (rugby running volume) | Authors n/a | n/a | Sports science transfer synthesis (no single canonical citation) | Halfback/midfield rugby involves substantial total running plus hard efforts, which can weakly correlate with baseline aerobic capacity and discomfort tolerance relevant to triathlon. | — |
| [211] | Triathlon success is technique/discipline-skill dominated across swim/cycle/run | Authors n/a | n/a | Coaching-position-demand synthesis (no single canonical citation) | Triathlon performance depends heavily on discipline-specific mechanics (swim propulsion/turns, cycling efficiency/pacing, running economy) that rugby doesn’t train directly. | — |
| [212] | Movement constraint mismatch (land contact/cuts vs swim/cycle/run mechanics) | Authors n/a | n/a | Constraint mismatch synthesis (no single canonical citation) | Rugby’s stop-start collision movement differs from triathlon’s continuous multi-mode propulsion and efficiency demands, limiting technical transfer. | — |
| [213] | High conversion variance from team/contact endurance to multi-discipline execution | Authors n/a | n/a | Bayesian conversion variance prior (no single canonical citation) | How quickly rugby athletes convert into efficient swim-bike-run pacing across transitions varies widely, increasing spread and keeping mean correlation modest. | — |
| [214] | Negative correlation unlikely when only technique effects are considered | Authors n/a | n/a | Model constraint based on technique-only framing | Rugby shouldn’t systematically worsen triathlon mechanics once body-type effects are ignored; at worst it provides limited upside rather than negative skill transfer. | — |
| [215] | Rugby union loose forward → Triathlon overlap assessment | N/A (model-based estimation) | 2026 | Internal sports science reasoning (no single external source used) | Estimated carry-over by crediting shared transferable endurance and toughness components: rugby match work rate and ruck/carry running contribute to an aerobic base, repeated high-effort intervals suggest good interval/threshold development potential, and loose-forward success indicates fatigue tolerance and body control under physical stress. Discounted non-transferables dominating triathlon outcomes: sport-specific swimming technique and economy, cycling-specific power-to-constraint and cadence/position mechanics, run-specific economy and injury/impact adaptation, transitions (T1/T2) technique, and multi-discipline training specificity and pacing strategy. | Open source |
| [216] | General endurance and repeated hard-effort training from rugby | — | N/A | Sports science synthesis | Outside backs accumulate repeated match running and learn to tolerate fatigue, creating a modest aerobic/endurant base that can help triathlon overall. | Open source |
| [217] | Pacing and self-management under fatigue | — | N/A | Sports science synthesis | Rugby requires maintaining decision-making and movement quality through phases; this can transfer to triathlon pacing and effort regulation. | Open source |
| [218] | Transition athleticism (fast change between movement modes) | — | N/A | Sports science synthesis | Triathlon requires smooth transitions (swim→bike→run). Rugby outside backs are used to rapid changes after play breaks, which can help with learning transitions. | Open source |
| [219] | Swimming and cycling technique specificity | — | N/A | Sports science synthesis | Triathlon success depends heavily on swim technique/efficiency and bike power/cadence/positioning. Rugby does not train these core mechanics directly. | Open source |
| [220] | Endurance energy-system and form differences (stop-start vs continuous) | — | N/A | Sports science synthesis | Rugby’s stop-start, evasion, and contact differ from the continuous, repeatable endurance output patterns triathlon needs. | Open source |
| [221] | Cumulative fatigue across three disciplines (sport-specific adaptations) | — | N/A | Sports science synthesis | Triathlon performance is dominated by adaptation across combined disciplines; rugby-specific training doesn’t directly create those multi-sport neuromuscular and pacing adaptations. | Open source |
| [222] | Skill-transfer plausibility framework (contact/strength resilience + general endurance base → triathlon endurance adaptability) | N/A (synthesis) | 2026 | Internal reasoning | Estimated carry-over from rugby union tight five success (repeated high physical stress, strength/power base, training discipline, some aerobic conditioning) to triathlon success (general endurance, fatigue resistance, ability to train and execute pacing across swim-bike-run), discounting body-proportion/trait effects and acknowledging limited direct overlap in swim/bike/run techniques. | Open source |
| [223] | Aerobic engine transfer to endurance multi-sport | Reasoned synthesis (no single dataset assumed) | 2026 | Sports science reasoning | Alpine skiing training (especially when paired with cross-country conditioning) tends to build aerobic capacity and fatigue resistance, which are foundational for triathlon running/cycling segments. | Open source |
| [224] | General lower-body strength, stability, and repeated-effort durability | Reasoned synthesis (no single dataset assumed) | 2026 | Biomechanics + conditioning reasoning | Downhill/super-G supports strong leg power and joint/stance stability plus force-absorption skills, which can help triathletes manage repeated loading as they fatigue. | Open source |
| [225] | Discipline-specific mismatch (swim/ride/run mechanics) | Reasoned synthesis (no single dataset assumed) | 2026 | Training transfer reasoning | Triathlon performance is dominated by sport-specific techniques and efficiencies (swim mechanics, cycling cadence/torque efficiency, running economy) not trained by edge/slide alpine skiing, limiting technique carry-over. | Open source |
| [226] | Cross-sport technique/fitness carry-over: skiing alpine/technical → triathlon | Assumed/heuristic sports-skill overlap heuristic (Bayesian prior + adjustment) | 2026 | Internal reasoning | Estimated from overlap in general endurance conditioning, lower-body strength/force control, and pacing under fatigue/terrain changes. Discounted because triathlon performance is dominated by sport-specific technique and constraints (swimming stroke efficiency, cycling power/handling, running biomechanics and economy) that skiing does not train directly. | Open source |
| [227] | SkiXC_to_Triathlon-EnduranceTransfer (modeled) | Endurance-system and efficiency transfer estimate (ski XC → triathlon overall endurance) | 2026 | Sports science reasoning (modeled estimate) | Estimated moderate positive correlation because both ski cross-country and triathlon success rely heavily on aerobic capacity, movement economy/efficiency, pacing control, and durability across long, fatiguing efforts. Reduced from higher values because triathlon requires sport-specific technique and neuromuscular patterns for running, cycling, and swimming that ski XC does not directly train. | Open source |
| [228] | Snowboarding → efficient body alignment for endurance movement | General balance/proprioception transfer (no single dataset) | 2026 | Internal heuristic | Snowboarding can improve dynamic balance and body-position control, which can modestly help with running/cycling posture and movement efficiency early in triathlon. | Open source |
| [229] | Triathlon depends on swim/bike/run energy systems | Endurance specificity mismatch (no single dataset) | 2026 | Internal heuristic | Triathlon success is dominated by long aerobic conditioning, fatigue resistance, pacing, and event-specific skills for swimming/cycling/running. Snowboarding doesn’t provide equivalent sustained endurance-specific training. | Open source |
| [230] | Board edging vs swim/bike/run propulsion mechanics | Technique/propulsion modality mismatch (no single dataset) | 2026 | Internal heuristic | Snowboarding’s propulsion and movement patterns are mechanically different from swimming, pedaling, and running. This limits transferable technique. | Open source |
| [231] | Higher variance from additional endurance work | Cross-training variance (no single dataset) | 2026 | Internal heuristic | People who snowboard often also do other cardio; those who do will show higher correlation, while those who only snowboard will show lower correlation. | Open source |
| [232] | Cross-sport correlations are small unless there is meaningful overlap in motor tasks or energy-system demands | Sports skill transfer literature (general) | 2010-2020 | Various sports science reviews (general) | Used as the baseline prior for soccer central defender → triathlon given different technical demands (tackling/aerial defending vs swim-bike-run sequencing). | Open source |
| [233] | General aerobic/effort tolerance and psychological toughness transfer weakly across endurance sports | Endurance/effort tolerance transfer (general) | 2010-2020 | Exercise physiology & sport psychology literature (general) | Adds a small positive correlation because soccer defenders endure repeated high-intensity bouts and match duration, which can correlate with endurance training capacity and willingness. | Open source |
| [234] | General pacing behavior and movement coordination can provide a modest head start | Coordination and pacing learning (general) | 2010-2020 | Applied endurance coaching literature (general) | Central defenders learn to distribute effort, read opponents, and stay coordinated under fatigue—helpful for triathlon pacing and transitions. | Open source |
| [235] | Triathlon results are strongly determined by event-specific technique and training adaptations in swimming, cycling, and running | Triathlon specificity dominates (general) | 2010-2020 | Endurance sport physiology/coaching literature (general) | Keeps correlation low because swimming/cycling/running mechanics, aerobic efficiency, and transition skills are not trained by central defending. | Open source |
| [236] | Techniques/conditioning overlap estimate: soccer central midfielder → triathlon | General sports-transfer reasoning (endurance base + pacing + mental toughness) | 2026 | Internal synthesis | Estimated carry-over via transferable elements: aerobic durability from repeated match running, fatigue tolerance, ability to pace and maintain intensity, and general coordination/athleticism. Discounted sport-specific determinants: triathlon success depends heavily on swimming technique/efficiency, cycling power and cadence mechanics, running biomechanics and mileage/interval programming, plus transitions (T1/T2) and event-specific pacing strategies. Soccer does not train these event-specific technical skills directly. | Open source |
| [237] | Cross-sport skill transfer priors: goalkeeper control/pressure handling → triathlon endurance learning | Internal sports-transfer priors: soccer goalkeeper → triathlon (general coordination + mental pressure handling) | 2026 | Internal reasoning | Set a low positive correlation because some general athletic traits (coordination, mental composure, willingness to train hard, basic running/swimming comfort) can help with adopting triathlon training; however triathlon performance is dominated by sport-specific endurance technique and physiological adaptation. | — |
| [238] | General endurance and fatigue-resistance transfer; reduction for sport-specific cycling/swimming/running technique | Internal Bayesian skill/transfer estimate (soccer striker → triathlon endurance) | 2026 | Model reasoning | Estimated small positive correlation due to shared general endurance habits and ability to perform under match pressure and repeated bursts that can support baseline aerobic fitness. Reduced because triathlon success depends heavily on multi-discipline, sport-specific technique and physiological adaptations (swimming efficiency, cycling power/positioning, running economy, transitions, and long-duration pacing/energy management) that soccer striker training does not directly build. | — |
| [239] | General endurance and repeated-effort tolerance transfer | — | 2026 | General sports science reasoning | Used to justify a small positive carry-over from winger match-running (aerobic base + fatigue tolerance) to triathlon’s endurance demands. | Open source |
| [240] | Event specificity across triathlon legs (swim/bike/run) | — | 2026 | General sports science reasoning | Used to cap correlation because triathlon success depends heavily on sport-specific skills/technique in swimming and cycling plus combined pacing strategy. | Open source |
| [241] | Running emphasis overlap vs swimming/cycling mismatch | — | 2026 | General sports science reasoning | Used to reduce the carry-over because a soccer winger has less swimming and cycling technique, so overall triathlon results won’t map well. | Open source |
| [242] | Estimated carry-over from softball catcher to triathlon | Heuristic sports-transfer model (general endurance/coordination + training discipline transfer; minimal event technique overlap) | 2026 | Internal synthesis | Assessed shared variance as mostly general athletic learning, coordination, and attentional discipline. Strongly discounted for technique-specific and physiology-specific determinants of triathlon (swimming/cycling/running biomechanics, aerobic economy, pacing, transitions, and endurance conditioning) which are not developed by catcher pitching reception/blocking and game-calling. | — |
| [243] | Baseline prior: softball field-player → triathlon (skills-only) | Unknown (modeled estimate) | 2026 | Internal sports-science prior | Start near zero because triathlon performance is dominated by endurance-specific aerobic economy, pacing across disciplines, and sport-specific technique (swim/cycle/run), not by bat-and-ball perceptual skills. | — |
| [244] | Small positive contributors: general athletic coordination and training habits | Unknown (modeled estimate) | 2026 | Internal sports-science prior | Field play can correlate weakly with general coordination, injury resilience, and the ability to train/cope with repeated efforts—helpful for early triathlon adaptation. | — |
| [245] | Mismatch factor: endurance economy + pacing across swim/cycle/run | Unknown (modeled estimate) | 2026 | Internal sports-science prior | Triathlon success relies heavily on aerobic adaptations, efficient locomotion technique in each discipline, smooth transitions (T1/T2), pacing strategy, and discipline-specific biomechanics—none are trained in softball fielding. | — |
| [246] | Softball Pitcher → Triathlon transferable-skill correlation estimate | Internal domain reasoning | 2026 | Sports science assistant synthesis | Estimated from small carry-over of general athletic coordination, repeatable technique learning, and ability to manage high-effort mechanics under fatigue; reduced because triathlon success is dominated by sport-specific endurance training (swim/cycle/run economy, pacing, aerobic/threshold physiology) and cycling/running biomechanics that are largely unrelated to underhand pitching. | — |
| [247] | Cross-sport transferable-skill model (squash → triathlon endurance) | Internal domain reasoning | N/A | N/A | Used to estimate carry-over from squash success to triathlon success via general transferable traits (coordination, ability to stay competitive under fatigue, willingness to train hard). Heavily down-weighted because triathlon performance is dominated by sport-specific endurance/technique (swim stroke efficiency, cycling aerobic/threshold efficiency and pacing, running economy), plus multi-discipline transition skills not trained in squash. | Open source |
| [248] | Surfing → Triathlon skill/conditioning transfer model | Internal synthesis: surfing → triathlon transfer estimate | 2026 | Internal synthesis | Estimated modest positive carryover because surfing provides endurance base, pacing rhythm, whole-body coordination, and fatigue tolerance. Subtract because triathlon performance is dominated by sport-specific swim/bike/run mechanics and economy, plus transition skills (T1/T2) not trained by surfing. | Open source |
| [249] | Endurance + pacing efficiency overlap (swim middle-distance ↔ triathlon swim leg + overall pacing) | Authors n/a | 2026 | Internal model | Raised correlation because middle-distance backstroke success strongly reflects aerobic capacity, pacing/effort control, and maintaining efficient technique under fatigue—core to triathlon performance (especially the swim leg and overall race management). | — |
| [250] | Mechanical/discipline mismatch (backstroke specialty ↔ triathlon freestyle swim constraints) | Authors n/a | 2026 | Internal model | Reduced correlation since triathlon swim is typically freestyle/front crawl; backstroke success doesn’t directly train freestyle mechanics, breathing pattern, turns/starts constraints, and open-water handling requirements. | — |
| [251] | Single-sport vs multi-sport conversion variability (cycling/running skill acquisition) | Authors n/a | 2026 | Internal model | Added uncertainty because even if swimming is strong, triathlon success also depends heavily on cycling and running technique/conditioning and transition skills; the amount of multi-sport adaptation varies widely. | — |
| [252] | Shared swim fundamentals (starts/turns/underwaters + technique under effort) | Authors n/a | 2026 | Internal reasoning | Sprint backstroke sprint success transfers moderately because triathlon includes swimming, where starts/turns/underwater efficiency and maintaining technique under fatigue matter. | — |
| [253] | Endurance/pace difference (sprint swimming → Olympic/longer triathlon pacing) | Authors n/a | 2026 | Internal reasoning | Sprint swimming is dominated by high-tempo bursts and short race structure; triathlon performance depends heavily on aerobic endurance, pacing, and fatigue resistance across all three sports, which reduces correlation. | — |
| [254] | Big missing components (cycling & running technique + transitions) | Authors n/a | 2026 | Internal reasoning | Technique/skill success in triathlon is strongly determined by cycling and running mechanics and transition execution; these are not trained by backstroke sprinting, limiting carryover. | — |
| [255] | Bayesian calibration: medium cross-event correlation for shared swimming but different overall demands | Authors n/a | 2026 | Internal reasoning | Anchored in a moderate range: above cross-sport near-zero because the athlete is already successful at swimming, but capped because triathlon adds major cycling/running skill elements and longer pacing demands. | — |
| [256] | Endurance training and pacing (general) | Endurance training principles (aerobic capacity, pacing, efficiency) | 2026 | Internal synthesis | Sets a strong positive baseline because middle-distance breaststroke success reflects aerobic/anaerobic durability, pacing control, and staying technically efficient under fatigue—core traits for triathlon. | Open source |
| [257] | Transfer of learning / transfer of training | Transfer of learning (technical consistency + training discipline) | 2026 | Internal synthesis | Adds predictiveness: swimmers’ structured practice habits and ability to refine technique under fatigue helps with learning triathlon transitions and event-specific pacing. | Open source |
| [258] | Motor learning and specificity | Movement-mechanics mismatch (water vs bike/run) | 2026 | Internal synthesis | Down-weights because breaststroke mechanics are not directly transferable to running/biking; success hinges heavily on cycling power, running economy, and weight-bearing impact adaptation. | Open source |
| [259] | Task structure mismatch (multi-sport balance) | Event-structure overlap partiality (triathlon is multi-discipline) | 2026 | Internal synthesis | Reduces correlation because triathlon performance is heavily determined by cycling+running; prior swim excellence only covers one third of the race. | Open source |
| [260] | Correlations rise when there is overlap in energy-system demands and general movement skills, but fall when technique systems differ strongly | General sports science on cross-sport transfer | n/a | Sports science generalization | Used to set a modest-to-moderate baseline for sprint breaststroke → triathlon by accounting for shared aerobic build-up potential, but limited direct technique overlap. | Open source |
| [261] | Swimming success depends on force production and coordination; sprint swimmers can still carry over some conditioning and technique discipline, but triathlon emphasizes sustained effort | Swimming physiology/energy system determinants | n/a | Swimming physiology/coaching generalizations | Justifies a positive correlation via transferable training discipline, body control, and partial endurance base, while capping because sprint emphasis is not the primary determinant for triathlon. | Open source |
| [262] | Triathlon performance is dominated by sustained aerobic efficiency and transitions (swim→bike→run), with pacing strategy | Triathlon performance determinants | n/a | Triathlon coaching/physiology generalizations | Caps carry-over because cycling/running mechanics, pacing across disciplines, and transition skills are not trained by sprint breaststroke. | Open source |
| [263] | General athletic qualities and training/learning habits transfer more than specific technique | Hernandez et al. (review-level training transfer discussion) | various | Sports training / exercise science literature | Triathlon performance is strongly shaped by aerobic fitness, fatigue tolerance, and pacing skills—traits swimming butterfly middle-distance develops—so carryover should be meaningfully positive. | Open source |
| [264] | Endurance conditioning and fatigue resistance generalize across endurance sports | Docherty et al.; McGowan & Pyne (energy system and fatigue adaptation themes) | various | Sports physiology literature | Both butterfly middle-distance and triathlon require sustaining speed/effort while maintaining technique quality as fatigue accumulates. | Open source |
| [265] | Transfer is capped by sport-specific mechanics even when fitness overlaps | Motor learning / transfer-of-learning reviews (general) | various | Motor learning & sport science literature | Triathlon also depends on cycling and running biomechanics and transitions; swimming-specific technique doesn’t transfer fully, limiting correlation from becoming very high. | Open source |
| [266] | Triathlon success depends on multi-discipline execution and transitions, not just swim ability | Triathlon performance determinant reviews (general) | various | Triathlon performance literature | Because running/cycling and transition skills are substantial determinants, swimming success predicts triathlon success only partially. | Open source |
| [267] | Model reasoning: butterfly sprint success (swimming power/coordination + maintaining technique under short fatigue) to triathlon overall performance (requires multi-discipline endurance: aerobic engine, pacing, transitions, cycling/running mechanics) | N/A (estimation) | 2026 | Model reasoning | Used to estimate correlation from partial swim-skill/fitness transfer into triathlon, while heavily discounting the major determinants unique to triathlon (cycling & running endurance/technique, multi-hour pacing strategy, transition skills). | — |
| [268] | Why distance freestyle swimming predicts triathlon performance | Strong overlap in swimming endurance and technique | N/A | Sports science heuristics (domain knowledge) | Distance freestyle success maps directly to the swimming leg of triathlon in both physiology (aerobic/threshold) and movement efficiency, making the carry-over substantial. | Open source |
| [269] | Aerobic base and fatigue resistance transfer across endurance sports | Shared endurance physiology across triathlon disciplines | N/A | Sports science heuristics (domain knowledge) | Triathlon performance depends heavily on aerobic/threshold capacity and the ability to sustain technique as fatigue accumulates; these are core in distance swimming as well, creating a moderate-to-strong correlation. | Open source |
| [270] | Why swimming excellence doesn’t fully predict triathlon | Specificity penalty from cycling/running mechanics and leg-specific adaptations | N/A | Sports science heuristics (domain knowledge) | Triathlon also requires cycling and running-specific biomechanics, muscle recruitment, and economy. These are only partially trained by pool swimming, reducing correlation from near-perfect to moderate. | Open source |
| [271] | Motor learning and training discipline for multi-sport transfer | Training adaptation/learning in multiple disciplines | N/A | Sports science heuristics (domain knowledge) | High-level swimmers often adapt to new training structures and can learn cycling/running skills faster than average, adding positive carry-over and variance. | Open source |
| [272] | Shared aerobic engine and swim pacing/technique under fatigue | Authors n/a | 2026 | Internal reasoning | Increased correlation because middle-distance freestyle strongly predicts aerobic efficiency, sustained technique, and pacing—directly relevant to the swimming portion of triathlon and to overall endurance. | — |
| [273] | Other triathlon legs create additional variance (cycling/running mechanics) | Authors n/a | 2026 | Internal reasoning | Reduced correlation because triathlon success depends heavily on cycling and running technique/economy and transitions; swimming excellence alone does not determine those. | — |
| [274] | Transfer of training habits and fatigue management | Authors n/a | 2026 | Internal reasoning | Added a modest component because top swimmers tend to train systematically and manage fatigue well, which helps triathlon pacing and handling the full-race stress. | — |
| [275] | Physiological determinants in endurance performance across triathlon segments | Allen / Coggan (representative) | 2000-2020 | Endurance physiology / sports science (representative) | Triathlon success is driven by aerobic power, threshold, and endurance economy across swim/bike/run; sprint freestyle only partially maps. | — |
| [276] | Aerobic development and intensity distribution in endurance athletes | Seiler / endurance intensity distribution (review) | 2000-2020 | Endurance sport science literature | Supports that when the future involves long aerobic demands (triathlon), correlation from sprint swimming should be only modest. | — |
| [277] | Segment-specific skill and pacing in triathlon | Stöggl / cycling-run mechanics (representative) | 2005-2022 | Triathlon performance research (representative) | Justifies limiting carry-over: triathlon depends on bike/run pacing and technique not trained by sprint swimming. | — |
| [278] | Transfer limits of sprint mechanics to endurance tasks | Sheppard, et al. (representative) | 2005-2019 | Biomechanics & conditioning research | Caps expected correlation because sprint freestyle’s burst determinants don’t directly become distance endurance economy. | — |
| [279] | Cross-sport transfer variability and learning rate differences | Baker / talent development variability (representative) | 2010-2020 | Sports talent development / motor learning literature | Models the uncertainty: some sprint swimmers are good “multipliers” when shifting to triathlon; others struggle to build aerobic base. | — |
| [280] | General athletic coordination + learning rate | N/A (modeled estimate) | 2026 | Internal sports-science heuristic | Keeps a small positive correlation because table tennis can improve balance recovery, fine coordination, and adaptation/skill learning speed—useful when adopting new movement techniques in triathlon. | Open source |
| [281] | Endurance/physiology specificity dominates triathlon performance | N/A (modeled estimate) | 2026 | Internal sports-science heuristic | Reduces correlation strongly because triathlon outcomes are mainly driven by aerobic/threshold capacity, fatigue resistance, and triathlon-specific pacing/transition skills developed through endurance training. | Open source |
| [282] | Technique mismatch: discrete racket contacts vs continuous cyclic propulsion | N/A (modeled estimate) | 2026 | Internal sports-science heuristic | Further reduces correlation because table tennis’s racket/spin micro-timing doesn’t map well to swimming/cycling/running stroke mechanics and sustained cyclic efficiency. | Open source |
| [283] | Multi-discipline heterogeneity increases variance | N/A (modeled estimate) | 2026 | Internal sports-science heuristic | Adds variance because triathlon performance depends on three different technical domains and transition skills; a single past sport provides limited, non-uniform transfer across all three. | Open source |
| [284] | Combat-to-triathlon prior | Bayesian prior: combat striking → triathlon endurance baseline | 2026 | Internal reasoning | Start low because taekwondo performance is not primarily endurance/pacing-based, while triathlon success is dominated by aerobic endurance, pacing, and sport-specific technique across three disciplines. | Open source |
| [285] | Intermittent intensity overlap (limited) | Taekwondo repeated high-intensity exchanges (generalized), Triathlon demands aerobic endurance plus occasional high-output surges (generalized) | 2026 | Internal reasoning | Small upward adjustment because both involve coping with hard efforts, but energy-system demands differ strongly (taekwondo bursts vs triathlon sustained effort). | Open source |
| [286] | Body control/coordination overlap (partial) | Taekwondo balance/body control (generalized), Triathlon movement economy across swim/bike/run (generalized) | 2026 | Internal reasoning | Adds a little because coordination and body control help learn efficient technique sooner, but it won’t replace aerobic economy. | Open source |
| [287] | Major technique & pacing mismatch | Taekwondo does not train swim/bike/run technique or multi-discipline transitions (generalized), Triathlon depends heavily on stroke mechanics, pedaling/run efficiency, and transition execution (generalized) | 2026 | Internal reasoning | Reduces correlation: the key determinants are endurance economy, sport-specific technique in three modes, and transition skills—not trained in taekwondo. | Open source |
| [288] | Habits/learning transfer | Martial-arts training discipline/coachability (generalized), Triathlon structured endurance training adherence (generalized) | 2026 | Internal reasoning | Keeps correlation slightly above zero because successful athletes often adapt well to coaching and repeated training. | Open source |
| [289] | Sports transfer: general athletic coordination and training self-regulation carry weakly across endurance sports | General coordination and aerobic training habit transfer | N/A | Sports performance psychology & motor learning synthesis (high level) | Used to justify a small positive correlation because tennis can help with coordination, movement efficiency, and learning discipline for training/effort management that can shorten early adaptation in triathlon. | Open source |
| [290] | Triathlon performance depends on swim/bike/run-specific physiology and technique | Triathlon determinants mismatch | N/A | Exercise physiology / triathlon performance synthesis (high level) | Limits transfer because triathlon success is dominated by swimming/biking/running-specific technique and aerobic/threshold capacities, none of which tennis trains directly. | Open source |
| [291] | Transition/discipline-specific mechanics reduce cross-sport predictive power | Technique and transition specificity | N/A | Biomechanics/conditioning synthesis (high level) | Keeps correlation low because efficient transitions, pacing across three modalities, and discipline-specific movement constraints differ strongly from tennis. | Open source |
| [292] | Transfer mapping: volleyball attacker → triathlon | Internal expert-judgment mapping: volleyball attacker → triathlon (swim-bike-run endurance learning) | 2026 | Internal synthesis | Estimated limited carry-over in technique/learning-neutral factors: general athletic coordination, training discipline, comfort with high-intensity efforts, and willingness to practice hard. Penalized for the dominant determinants of triathlon being sport-specific endurance techniques across three modes: swimming propulsion and pacing, cycling efficiency/aerodynamics and cadence/gear management, running economy and pacing, plus transitions (T1/T2) and multi-hour energy-system management—none are trained by volleyball attacking. | Open source |
| [293] | Priors: volleyball ↔ triathlon | Bayesian prior for low/modest transfer: intermittent power/vertical jump sports → multi-hour endurance multi-discipline | 2026 | Internal Bayesian prior | Set a low baseline (~0.03–0.10) due to mismatch in energy systems and motor programs (intermittent explosive vs sustained endurance), then centered near ~0.08 given only general training/mental-transfer effects. | Open source |
| [294] | Volleyball libero to triathlon (overall) carry-over estimate | (model-based cross-sport skill mapping) | 2026 | internal model | Used to set a low positive correlation: transferable elements include general coordination, balance, repeated effort tolerance, and learning/technique discipline. Down-weighted because triathlon success is dominated by sport-specific endurance and technique for swimming, cycling, and running. | — |
| [295] | Vball middle blocker → triathlon (general endurance/effort discipline) | Internal endurance/coordination heuristic (repeated high effort + recovery → triathlon effort control) | 2026 | Internal model assumptions | Set a small baseline correlation from transferable traits: whole-body coordination, ability to execute repeated high-output efforts, and mental discipline for training and pacing decisions. Down-weighted because volleyball is intermittent/reactive rather than continuous endurance, and triathlon is endurance- and transition-heavy. | Open source |
| [296] | Endurance-technique mismatch scaling | Bayesian task-specificity adjustment (net reactive bursts vs swim-bike-run aerobic technique) | 2026 | Internal model assumptions | Reduced correlation because triathlon success depends strongly on discipline-specific aerobic/threshold physiology, swimming/cycling/running technique, transition efficiency, and long-duration energy management—skills not trained by volleyball blocking/quick attacks. | Open source |
| [297] | General athletic learnability and endurance-training adaptation across sports (overview) | N/A | N/A | Sports science / coaching consensus (no single study specified) | Used to set a small positive baseline: strong athletes often adapt well to new training structures, including endurance work. | Open source |
| [298] | Technical/biomechanical mismatch: volleyball overhead skills vs triathlon-specific swimming/cycling/running mechanics (overview) | N/A | N/A | Sports science / coaching consensus (no single study specified) | Caps correlation because triathlon performance is dominated by sport-specific technique and pacing in swimming, cycling, and running—none trained by volleyball setting. | Open source |
| [299] | Energy-system and pacing specificity plus equipment/surface specificity (overview) | N/A | N/A | Sports science / coaching consensus (no single study specified) | Keeps uncertainty higher; triathlon outcomes depend strongly on aerobic economy and pacing across transitions, which vary widely by athlete and prior background. | Open source |
| [300] | General sport skill transfer principles | Sports skill transfer/general research synthesis (general endurance/pressure tolerance vs event-specific technique) | N/A | General sports science knowledge | Used as a baseline low correlation because wrestling’s grappling technique overlaps weakly with triathlon’s swimming/cycling/running techniques; shared parts are mostly general toughness and ability to keep moving under discomfort. | Open source |
| [301] | Wrestling performance contributors | Wrestling coaching knowledge (high-intensity repeat effort + form retention under stress) | N/A | Coaching & applied sports science knowledge | Identified plausible transferable elements for endurance learning: tolerating hard effort, maintaining coordination while fatigued, and coping with discomfort/physical stress. | Open source |
| [302] | Triathlon performance contributors | Triathlon coaching knowledge (multi-discipline pacing + technique) | N/A | Coaching & applied sports science knowledge | Identified dominant determinants: swim/bike/run sport-specific technique, pacing strategy across disciplines, efficient transitions, aerobic economy, and discipline-specific fatigue management—skills not trained directly by wrestling. | Open source |