Public evidence page

Athletics - Sprints and hurdles

Sport

Sport: Athletics
Event_family: Sprints and hurdles

Athletes' bodies

Elite male sprinters (100–400 m sprint and hurdles) tend to be taller/longer-limbed than many middle-distance athletes, with a relatively large effective musculoskeletal lever system for maximal acceleration and high joint/tendon stiffness. They are typically lean but slightly more muscular/broader (especially through shoulders/upper torso) than distance runners, and their optimal profile is dominated by fast-twitch (Type II) muscle-fiber characteristics.

Cohort

Sex: Male
Level: Elite
An amateur male hurdler walks near hurdles on a track during warm-up before competing.

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 182.5 ± 6.2 cm 182.5 ± 6.2 cm high For elite male sprint/hurdle event athletes, a central height around ~182–185 cm is a common modeling prior. SD is set to reflect international cohort diversity (different successful sprint morphologies exist). (Bayesian modeling/inference.) [1] [2]
Leg inseam 96 ± 3.8 cm 96 ± 3.8 cm high Sprint/hurdle optimization is associated with a longer effective lower-limb segment for stride length and acceleration mechanics, so inseam is set relatively high with moderate variance. (Inference.) [3]
Leg-torso ratio 1.71 ± 0.12 ratio 1.71 ± 0.12 ratio high Sprint/hurdle acceleration benefits from favorable lower-limb geometry; ratio is set higher than distance-running priors, with moderate SD. [4]
Weight 78 ± 7.5 kg 78 ± 7.5 kg high Sprints/hurdles usually require high force and stiffness; relative to middle-distance runners, optimal body mass is modeled higher (lean muscle mass rather than fat). Chosen mean/SD reflect lean but stronger elite cohorts. (Bayesian modeling/inference.) [2] [5]
Arm span 184 ± 6.4 cm 184 ± 6.4 cm medium Arm span is modeled close to height (often slightly above) for lever advantage and general athletic proportion; not treated as a primary sprint driver compared with tendons/fiber type. [3]
Foot length 28.3 ± 1.3 cm 28.3 ± 1.3 cm medium Sprint athletes often have larger feet relative to body for force application and shoe compatibility; value is set proportionally with moderate SD. [6]
Pelvic bone width 30.5 ± 2.4 cm 30.5 ± 2.4 cm medium Set to support strong hip stability and force transfer; SD reflects different body builds within elite sprint groups. [7]
Shoulder-hip ratio 1.26 ± 0.06 ratio 1.26 ± 0.06 ratio medium Computed from the selected shoulder width and pelvic bone width; higher ratio can support robust upper-lower balance for sprint posture and arm swing, but still kept moderate/realistic. [8]
Shoulder width 41 ± 2.9 cm 41 ± 2.9 cm medium Power athletes often present with somewhat broader upper torso/shoulders than endurance cohorts; however, sprinters are not uniformly massive. Hence moderate importance and moderate-to-high central shoulder width. [9]
Torso length 56 ± 4.2 cm 56 ± 4.2 cm medium Sprint/hurdle performance benefits from stiffness and effective trunk positioning; torso length is modeled as moderately average with variation, not extreme. [3]
Ankle circumference 22.5 ± 1.1 cm 22.5 ± 1.1 cm low Ankle circumference is more correlated with body size than with direct sprint mechanics; kept low importance but adjusted upward slightly for sprint/force context. (Inference.) [10]
Ape index 1.01 ± 0.04 ratio 1.01 ± 0.04 ratio low Modeled as close to 1 (neutral) because ape index is not a core sprint-only determinant and many successful sprinters cluster near typical human proportions. [11]
Hand length 19.5 ± 1.1 cm 19.5 ± 1.1 cm low Included for measurement completeness only; low importance for sprint/hurdles compared with fiber/tendon/leg mechanics. [12]
Wrist circumference 16.8 ± 0.9 cm 16.8 ± 0.9 cm low Proportional inference only; included for completeness. [13]
Traits
Factor Value Impact Reasoning Sources
Muscle fiber profile fast-twitch dominant high Sprints/hurdles require maximal rate of force development and rapid activation patterns; therefore fast-twitch dominance is the optimal cohort trait and kept high importance. [14] [15] [16]
Metabolic tendency mesomorphic tendency medium Sprint/hurdle athletes are not typically bulky endomorphs, but they are more muscular/force-capable than distance runners; mesomorph best matches that “lean power” abstraction for Sporty. [17]
Joint laxity low high Sprint/hurdles performance relies on efficient force transfer and stable mechanics at high speed; hence low laxity is selected as the optimal cohort tendency. [18]
Foot arch neutral arch medium Elite athletes can succeed with different arch structures depending on footwear and training adaptations; neutral is used as the safest central prior for an “optimal but not extreme” model. [19]
Temperature tolerance balanced low Sprint/hurdle physiological output is intense but short; thermal comfort and tolerance are more training/environment dependent than structural morphology. [20]
Dominant side no meaningful side advantage none Laterality can matter for specific technical skills but is not modeled as a cohort-wide anatomical optimization driver for sprint/hurdles. [21]
Goals
Factor Alignment Reasoning Sources
Build confidence medium Confidence often grows when you can feel and measure speed improvements (e.g., faster times over short distances). Sprinting also has a clear progression path. Still, progress can be interrupted by technique plateaus, soreness, or injury management needs, so the confidence benefit is usually moderate. [22]
Build endurance low Middle/long endurance is not the main target here. Sprints and hurdles primarily train speed and the ability to repeat high-power efforts with short recoveries, not sustained aerobic stamina. You may improve some aerobic capacity indirectly (especially if your training includes longer warmups/efforts), but it’s not the core endurance adaptation. [23]
Build strength and power medium This is a good match for explosive lower-body strength. Sprints/hurdles involve maximal acceleration and stiffness/elastic action, which drives improvements in strength-power qualities—especially if amateurs add basic strength training to support their sprint technique. However, because the event family itself is track practice (not gym lifting), the “strength” component is usually not as direct as in dedicated strength/power sports without added resistance training. [24]
Challenge myself high This event family is physically and mentally demanding: maximum efforts, speed under fatigue, and technical precision over repeated reps. That makes it a strong “push yourself” sport for motivated amateurs. [25]
Compete and measure myself high Sprints and hurdles have clean, objective benchmarks: time over distances (e.g., 60m/100m/200m) and hurdle times/clearance performance. Even at amateur level, there are lots of meets and progression markers (timing, technique consistency, rep quality). [26]
Improve agility and coordination medium Hurdles especially demand coordination: timing, rhythm, and clean hurdling mechanics under speed. That improves coordination quality, though it’s not primarily “change-of-direction” agility like in soccer/basketball. So it’s a moderate fit: good coordination, less focus on reactive lateral movement. [27]
Improve balance and control medium Running at maximum speed and clearing hurdles repeatedly challenges stability—especially landing/stance control between steps. However, balance training is not typically the main workout objective, so gains usually occur as a side effect of good sprint/hurdle mechanics rather than targeted balance improvement. [28]
Improve flexibility and mobility low Sprints/hurdles do involve hip/ankle range and joint mobility, but the training itself usually prioritizes speed and power, not mobility work. Flexibility may improve slightly if you include proper warmups and technique drills, but it’s usually not a primary or reliable outcome. [29]
Improve general health and fitness medium Sprints and hurdles are very intense and build key athletic qualities like cardiovascular fitness (to a degree), leg strength, and neuromuscular coordination. That said, they’re short and recovery-heavy, so they’re not as consistently “aerobic base-building” as distance running. For amateurs, this usually translates to a solid fitness boost, but with slightly less all-around general-health coverage than more endurance-focused training. [30] [31]
Improve speed and explosiveness high This is the strongest alignment. Sprinting and hurdling are essentially “train fast, produce force quickly”: maximal acceleration, rapid leg cycling, and stiff/elastic mechanics. Even for amateurs, structured sprint/hurdle practice is one of the most direct ways to improve explosiveness and speed. [30] [31]
Learn new skills and master technique high Sprints and hurdles are technique-heavy: start mechanics, acceleration mechanics, stride stiffness/efficiency, hurdle clearance timing, and landing consistency. Amateur athletes often improve quickly in measurable ways with coaching, so this is a strong match. [32]
Lose weight low Sprints/hurdles burn energy, but the sessions are typically short with substantial rest, so total calorie burn per session is often lower than endurance workouts. Also, the training frequency/volume is usually constrained by recovery needs and injury risk. As a result, they can help weight loss, but they’re not the best “weight-loss reliably” match on their own. [33]
Make friends and feel a sense of belonging medium Athletics clubs and track meet communities are social, and hurdles/sprints can be practiced in group sessions or club environments. However, sprint training can also be largely individual (your reps, your lane, your timing), so belonging is often good but not as automatically strong as in team sports. [34]
Reduce stress and feel better medium Exercise can improve mood and stress, and short intense sessions can feel empowering. But because sprint/hurdle training is demanding and sometimes uncomfortable (and may require recovery time), it’s not as reliably “stress-reducing” as gentler aerobic activities for everyone. Net: moderate alignment. [35] [36]
Spend time with people I care about low Sprint/hurdle sessions are not naturally “talk during the work.” Communication is often limited to brief coaching cues, warmup, or cool-down. You can do it socially if you train with friends, but the event demands make it a weaker match for conversation while actively training. [37]
Preferences
Factor Alignment Reasoning Sources
Competition-focused environment medium There’s a strong competitive element (timing down to hundredths, rankings, heats/finals). But for amateurs, the training culture can also be personal-goal driven (speed gains) rather than only results culture. [38]
Enjoys contact none Contact/collisions are not a defining skill or expected part of sprints and hurdles, so preference for contact doesn’t align with the sport’s core experience. —
Flexible Time Table medium You can do sprint sessions flexibly (short sessions), but quality sprint/hurdle training needs appropriate recovery and good facility access (track/starting blocks, hurdles). So flexibility is moderate rather than high. [39]
Indoor setting medium You can do sprint work and some hurdles indoors (e.g., shorter hurdle races, sprint practice on indoor tracks), but the classic sprint-and-hurdle experience is strongly tied to outdoor track facilities and standard hurdle spacing. [40]
Long steady efforts none While athletes do some aerobic conditioning, the event experience and main training emphasis are short and maximal. You’re not aiming for sustained, steady pacing for long durations. —
Low impact on joints low Sprinting involves repeated high forces from fast accelerations and landings (and hurdles adds takeoff/landing over barriers). It’s not typically considered joint-gentle compared with low-impact sports. [41]
Mostly individual high Training and competing are mainly centered on your own acceleration, speed mechanics, and—on hurdles—your clearance technique. [42]
Non-contact high There’s generally no direct physical contact as part of running hurdles/sprints. You’re competing by speed, lane/space control, and (for hurdles) clearing obstacles. [43]
Outdoor setting high Sprints and most hurdles events are strongly identified with outdoor track meets (e.g., 100m/110m hurdles with standard hurdle heights and spacing). [44]
Playful recreational atmosphere low Sprints and hurdles are usually intense and technical, not a “light play” sport. Even casual participation tends to feel like structured training and form work, not relaxed recreation. —
Routine and structure high Training is commonly organized around repeatable sessions: starts, acceleration runs, sprint reps, hurdle drills, and strength/mobility work—usually with clear intensity and recovery planning. [45]
Short explosive efforts high This is the best match: the events are defined by maximal acceleration, stiffness/power, and speed over a short distance. Hurdles add explosive sprinting with rhythmic clearance. [46] [47]
Tactical and strategic low There is some race management (lane considerations, reacting to competitors in some formats), but sprints and hurdles are mostly about executing your best maximal effort rather than extended tactical chess. [48]
Team environment none Sprints and hurdles are almost always contested individually (you run your own lanes/attempts). You may train with a group, but the performance outcome is not team-based like many ball sports. [49]
Technique-heavy medium Technique matters a lot—especially hurdling rhythm/clearance and sprint mechanics (starting, stride efficiency, posture). But compared with very technical sports (e.g., gymnastics or pole vault details), it’s still more “power + mechanics” than ultra-fine technique. [50] [51]
Variety and novelty low The core movement is repetitive by design: repeated sprint mechanics and—if hurdling—repeatable hurdle rhythm. You can vary workouts, but the event still feels fairly focused on the same skill set. —
Water environment none Water isn’t part of sprint/hurdle performance; at most it’s hydration during training. —
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. Sprinting and hurdles create high forces during acceleration and push-off, and Achilles tendinopathy is a recognized overuse/tendon problem in running/jumping-type athletes. Risk is not automatically “high” because the injury picture is often dominated by hamstring/groin and knee issues, but it is clearly more than none. [52] [53]
ACL injury none A major ligament injury inside the knee, often linked to pivoting, landing, or sudden deceleration. In this event family (short high-power straight running with hurdles), the classic ACL mechanism distribution is not dominant compared with sports with frequent rapid direction changes. Therefore none for this mapping. —
Ankle sprain medium A stretched or torn ankle ligament, usually after the foot rolls awkwardly. While sprinting is not as rotationally chaotic as court/field sports, hurdles and high-speed running still produce enough misstep/landing risk for ankle sprains to be a realistic injury category. So medium risk. [54]
Calf strain low A pulled or overloaded calf muscle, often felt during pushing off, sprinting, or jumping. The calf contributes to propulsion and can be injured, but within this injury list the more common sprint-related tendon outcomes often involve Achilles rather than isolated calf strain. So low risk. [55]
Finger or hand impact injury none Pain from jamming, bending, or striking the fingers or hand during sport. Unless other equipment/contact is involved (not assumed), none. —
General forearm overuse pain none Ongoing forearm pain from repeated gripping, lifting, or arm use when the exact tendon is unclear. The main repetitive loads in sprinting/hurdles are through the legs, hips, and trunk; forearm tissues (and elbow/wrist gripping tendons) are not central to the event mechanics. So distance into this category is not meaningful. —
General foot or ankle pain high Ongoing foot or ankle pain when the exact structure or diagnosis is unclear. The event-family demands repeated high force through footstrike and the ankle complex, making foot/ankle pain syndromes (Achilles-related, plantar-related, general ankle pain) a frequent issue. Therefore high risk. [54]
General hip or groin pain medium Ongoing hip or groin pain when the exact structure or diagnosis is unclear. Acceleration requires powerful hip flexion and hip stabilizer work; hurdles also add repeated lead-leg drive and forceful pelvis control. That makes hip/groin pain plausible and relatively common. It’s often not as dominant as hamstring strains for some athletes, so medium. [56]
General knee pain medium Ongoing knee pain when the exact structure or diagnosis is unclear. Sprints and hurdles impose large knee extensor demands (especially during push-off and mechanics). However, the mapping between “general knee pain” and sprints/hurdles is usually less specific than patellar tendinopathy and patellofemoral pain patterns seen across running/jumping. So medium risk. [54]
General lower-back pain low Ongoing lower-back pain when the exact source is unclear. Compared with knee/hamstring/foot-ankle tendon issues, general low back pain is plausible but less dominant for short high-power sprint/hurdle athletes. So low risk. —
General lower-leg pain high Ongoing shin or calf pain when the exact diagnosis is unclear. While the classic headline injuries can be hamstring/groin and knee tendon pain, lower-leg overuse pathologies (ankle/foot and related tibial pain syndromes) still commonly occur in running populations. So high for the broad “general lower leg pain” bucket. [54]
General shoulder pain none Ongoing shoulder pain when the exact structure or diagnosis is unclear. The event family doesn’t repeatedly load the shoulder in a way that commonly causes overuse shoulder tendinopathy/impingement. So none for risk. —
General wrist or hand pain none Ongoing wrist or hand pain when the exact structure or diagnosis is unclear. No core repetitive wrist/hand loading mechanism in these events. —
Golfer's elbow none Pain on the inside of the elbow linked to overload in the forearm tendons. The event’s repetitive high-power actions do not typically create the classic flexor overuse pattern seen in golfer’s elbow. —
Groin strain medium A pulled or irritated groin muscle, often felt in cutting, sprinting, or kicking movements. Groin strains are more classically associated with sports with kicking and direction changes, but the pelvic/hip adductor system still gets heavy loading in sprinting and especially hurdling (repeated powerful leg actions and pelvis control). So medium risk. [56]
Hip flexor strain medium A strain or overload in the front-of-hip muscles that help lift the leg. During acceleration and hurdle lead-leg motion, the hip flexors generate high forces. That creates a realistic risk for acute strain-type issues, though many athletes mainly see overuse tendon pain around the knee/ankle. So medium. [58]
Side-of-hip tendon pain low Irritation of the hip or gluteal tendons around the outer side of the hip. Sprinting/hurdles require gluteal stabilization during stance and landing, but the most prominent sprint/hurdle overuse patterns often involve hamstrings and knee tendons. So risk is low (not none). [56]
Lower-back disc irritation none Lower-back pain that may involve irritation of a spinal disc and sometimes pain spreading into the leg. This mapping is conservative; without stronger evidence of event-specific disc irritation risk, set to none. —
Mechanical lower-back pain low Common lower-back pain related to movement, loading, stiffness, or irritated supporting tissues. Sprinting mechanics change with fatigue, which can provoke mechanical low back discomfort, but it’s not the primary signature injury bucket here. —
Meniscus injury none Irritation or tearing of the knee cartilage that helps cushion and stabilize the joint. While any sport can cause traumatic injury, the specific repetitive mechanics of sprinting/hurdles are not the classic meniscus-tear mechanism. So none for this mapping. —
Jumper's knee (patellar tendinopathy) medium Pain and irritation in the tendon just below the kneecap. Patellar tendinopathy is a tendon overuse issue strongly associated with ballistic, high-load knee extension activities. Sprint/hurdle training has similar high extensor loading during stance and push-off. Risk is medium because it’s not as signature as in jump-dominant events, but it is plausible. [56] [59]
Front-of-knee pain (patellofemoral pain) medium Pain around or behind the kneecap that often flares with repetitive knee bending. Patellofemoral pain is a common running-related knee pain syndrome. Sprinting contributes repeated knee flexion/extension under load, so risk is medium rather than low. [61]
Heel pain (plantar fasciitis) medium Irritation of the tissue under the foot that often causes pain near the heel. Plantar fasciitis is a recognized common running-related overuse condition. Sprint/hurdle training includes rapid accelerations and high forces that can contribute to plantar fascia irritation. However, many sprint/hurdle athletes also get hamstring/groin and knee tendon injuries, so this is medium rather than high. [54] [65]
Rotator cuff irritation none Pain and overload in the shoulder muscles and tendons that help control arm movement. No dominant mechanism; none. —
Shin splints medium Exercise-related pain along the shin that often appears when impact load rises too quickly. Shin splints are more classically associated with longer-distance running, but they are also a running-related overuse condition driven by repetitive tibial loading. Sprint/hurdle athletes still have repetitive impact during training and can develop tibial stress symptoms. Hence medium. [54]
Shoulder impingement-type pain none Shoulder pain that appears when tissues feel pinched or irritated during arm elevation. So none for this mapping. —
Shoulder instability or dislocation none A shoulder that has slipped out, partly slipped out, or feels unreliable in vulnerable positions. So none. —
Back stress reaction (spondylolysis) none A stress injury in the back often linked to repeated extension and rotation loading. Therefore none for this event family mapping. —
Tennis elbow none Pain on the outside of the elbow linked to overload in the wrist and forearm tendons. No strong mechanistic link between sprint/hurdle event demands and lateral elbow extensor overuse. —
Shin bone stress injury low Stress irritation in the tibia from repeated impact that has outpaced recovery. Tibial stress injuries rise with cumulative impact and recovery deficits. Since this mapping assumes moderate participation (couple times/week) and focuses on event family mechanisms, risk is conservatively low rather than medium/high. [56]
Wrist sprain none A stretched or irritated wrist ligament, often after a fall, impact, or awkward bend. No event-specific mechanism; none. —
Wrist tendon pain none Irritation of wrist tendons from repeated gripping, racquet use, lifting, or supporting body weight. No primary mechanism; none. —

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. There is a plausible adaptation (tendon loading) pathway, but because Achilles tendinopathy is also an event-relevant overuse outcome, the net preventive effect of doing the sport alone (no extra rehab/load management assumed) is limited. [54]
ACL injury none A major ligament injury inside the knee, often linked to pivoting, landing, or sudden deceleration. Without specific ACL-prevention programming (e.g., cutting/landing drills), prevention from this sport alone is negligible. —
Ankle sprain low A stretched or torn ankle ligament, usually after the foot rolls awkwardly. A strong sprain-prevention effect usually requires targeted ankle/proprioception strategies; since we’re not assuming added rehab/extra work, the preventive effect from the sport itself is low. [54]
Calf strain none A pulled or overloaded calf muscle, often felt during pushing off, sprinting, or jumping. Conservative none. —
Finger or hand impact injury none Pain from jamming, bending, or striking the fingers or hand during sport. None. —
General forearm overuse pain none Ongoing forearm pain from repeated gripping, lifting, or arm use when the exact tendon is unclear. Without a sport-specific mechanism for forearm loading, there’s no basis to rate a prevention effect. —
General foot or ankle pain medium Ongoing foot or ankle pain when the exact structure or diagnosis is unclear. There is some adaptation benefit from repeated training, but because these foot/ankle pain pathologies are also common outcomes in running populations, the net prevention effect of doing the sport alone is moderate rather than high. [54]
General hip or groin pain low Ongoing hip or groin pain when the exact structure or diagnosis is unclear. Prevention for hip/groin problems often depends on specific strengthening, flexibility, and load management. Since we’re not assuming extra rehab beyond the sport, prevention from the sport itself is only low. —
General knee pain medium Ongoing knee pain when the exact structure or diagnosis is unclear. There is an adaptation benefit from repeated strength/power demands, but knee pain conditions are also common outcomes in running populations. That makes prevention moderate. [54]
General lower-back pain none Ongoing lower-back pain when the exact source is unclear. Without assuming extra trunk/technique-specific rehab, prevention cannot be rated above none. —
General lower-leg pain medium Ongoing shin or calf pain when the exact diagnosis is unclear. Net prevention from the sport itself is moderate: adaptation exists, but overuse injuries are still common. [57]
General shoulder pain none Ongoing shoulder pain when the exact structure or diagnosis is unclear. No meaningful preventive mechanism. —
General wrist or hand pain none Ongoing wrist or hand pain when the exact structure or diagnosis is unclear. None. —
Golfer's elbow none Pain on the inside of the elbow linked to overload in the forearm tendons. No clear preventive pathway from this event family to golfer’s elbow. —
Groin strain low A pulled or irritated groin muscle, often felt in cutting, sprinting, or kicking movements. There’s no clear evidence that doing sprints/hurdles alone reliably prevents groin strains for typical moderate participation; risk can remain. So low. —
Hip flexor strain none A strain or overload in the front-of-hip muscles that help lift the leg. Because the event itself produces high hip flexor loading, and no specific preventive effect beyond the sport is established here, prevention is conservatively none. —
Side-of-hip tendon pain none Irritation of the hip or gluteal tendons around the outer side of the hip. Without assuming additional targeted hip-abductor loading/rehab, prevention effect is not strong enough to rate above none. —
Lower-back disc irritation none Lower-back pain that may involve irritation of a spinal disc and sometimes pain spreading into the leg. Set to none. —
Mechanical lower-back pain none Common lower-back pain related to movement, loading, stiffness, or irritated supporting tissues. Conservative none. —
Meniscus injury none Irritation or tearing of the knee cartilage that helps cushion and stabilize the joint. No clear preventive pathway from this event family alone. —
Jumper's knee (patellar tendinopathy) low Pain and irritation in the tendon just below the kneecap. Net prevention from the sport alone is low-to-modest; because this tendon condition is an overuse outcome in explosive lower-limb sports, prevention can’t be high. [60]
Front-of-knee pain (patellofemoral pain) medium Pain around or behind the kneecap that often flares with repetitive knee bending. Because patellofemoral pain is common and linked to load, prevention from the sport alone is moderate. [62] [63]
Heel pain (plantar fasciitis) low Irritation of the tissue under the foot that often causes pain near the heel. Because plantar fasciitis is both influenced by and common in running training, the net prevention from running/sprinting alone is limited without explicit load management assumptions. [54]
Rotator cuff irritation none Pain and overload in the shoulder muscles and tendons that help control arm movement. None. —
Shin splints low Exercise-related pain along the shin that often appears when impact load rises too quickly. Because shin splints are a load-related overuse outcome in running populations, prevention from the sport alone is limited. [57]
Shoulder impingement-type pain none Shoulder pain that appears when tissues feel pinched or irritated during arm elevation. None. —
Shoulder instability or dislocation none A shoulder that has slipped out, partly slipped out, or feels unreliable in vulnerable positions. None. —
Back stress reaction (spondylolysis) none A stress injury in the back often linked to repeated extension and rotation loading. Set to none. —
Tennis elbow none Pain on the outside of the elbow linked to overload in the wrist and forearm tendons. No injury-prevention pathway expected. —
Shin bone stress injury none Stress irritation in the tibia from repeated impact that has outpaced recovery. Without explicit load management assumptions beyond moderate participation, prevention is none. —
Wrist sprain none A stretched or irritated wrist ligament, often after a fall, impact, or awkward bend. None. —
Wrist tendon pain none Irritation of wrist tendons from repeated gripping, racquet use, lifting, or supporting body weight. None. —

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. Tendinopathy treatment generally relies on appropriately dosed tendon loading and symptom-guided progression; “keep sprinting” is not the same as that dosing. With no added rehab assumed, healing support is low. —
ACL injury none A major ligament injury inside the knee, often linked to pivoting, landing, or sudden deceleration. So healing effect is none. —
Ankle sprain none A stretched or torn ankle ligament, usually after the foot rolls awkwardly. Sprains generally require protection and a graded return to running; without assuming appropriate modification, healing support from continuing the sport is none. —
Calf strain none A pulled or overloaded calf muscle, often felt during pushing off, sprinting, or jumping. Thus none. —
Finger or hand impact injury none Pain from jamming, bending, or striking the fingers or hand during sport. None. —
General forearm overuse pain none Ongoing forearm pain from repeated gripping, lifting, or arm use when the exact tendon is unclear. Healing would require local, appropriate loading not assumed here; running/sprinting mechanics don’t reliably provide it to forearm tendons/muscles. —
General foot or ankle pain low Ongoing foot or ankle pain when the exact structure or diagnosis is unclear. Without assuming symptom-guided training modifications/rehab beyond normal practice, the sport is not a reliable healing input for active foot/ankle pain. Therefore low. —
General hip or groin pain none Ongoing hip or groin pain when the exact structure or diagnosis is unclear. Without assuming symptom-guided modifications, sprint/hurdle training is not a dependable healing stimulus for hip/groin pain conditions. Therefore none. —
General knee pain low Ongoing knee pain when the exact structure or diagnosis is unclear. Without assuming targeted rehab dosing, continuing the sport isn’t reliably healing for knee pain. Hence low. —
General lower-back pain none Ongoing lower-back pain when the exact source is unclear. Without assuming symptom-guided load modification, healing support from the sport alone is none. —
General lower-leg pain low Ongoing shin or calf pain when the exact diagnosis is unclear. Without assuming load modification/rehab dosing, the healing effect from continued sport participation is low. —
General shoulder pain none Ongoing shoulder pain when the exact structure or diagnosis is unclear. So none. —
General wrist or hand pain none Ongoing wrist or hand pain when the exact structure or diagnosis is unclear. None. —
Golfer's elbow none Pain on the inside of the elbow linked to overload in the forearm tendons. So healing support from sprints/hurdles alone is none. —
Groin strain none A pulled or irritated groin muscle, often felt in cutting, sprinting, or kicking movements. Groin strains commonly require relative rest and graded return; “keep sprinting” isn’t reliable as a healing approach. Hence none. —
Hip flexor strain none A strain or overload in the front-of-hip muscles that help lift the leg. Strain injuries usually require modified loading and staged rehab; without assuming that, healing from sprinting alone is not supported. So none. —
Side-of-hip tendon pain none Irritation of the hip or gluteal tendons around the outer side of the hip. Tendinopathy healing typically needs appropriately dosed progressive loading; normal sprinting may be too provocative. Therefore none. —
Lower-back disc irritation none Lower-back pain that may involve irritation of a spinal disc and sometimes pain spreading into the leg. Thus none. —
Mechanical lower-back pain none Common lower-back pain related to movement, loading, stiffness, or irritated supporting tissues. Without assuming modifications, healing effect is none. —
Meniscus injury none Irritation or tearing of the knee cartilage that helps cushion and stabilize the joint. Therefore none. —
Jumper's knee (patellar tendinopathy) low Pain and irritation in the tendon just below the kneecap. Tendinopathy recovery is typically related to appropriately dosed progressive loading; sprinting may be an inappropriate dose. With no extra rehab assumed, healing support is low. —
Front-of-knee pain (patellofemoral pain) low Pain around or behind the kneecap that often flares with repetitive knee bending. Exercise therapy benefits patellofemoral pain, but simply continuing running at maximal effort is not the same as targeted rehab dosing. Therefore low healing support from sprint/hurdle participation alone. [64]
Heel pain (plantar fasciitis) low Irritation of the tissue under the foot that often causes pain near the heel. Plantar fasciitis is often managed with load reduction and graded return; “keep sprinting” is not equivalent to effective plantar rehab dosing. So healing support is low. —
Rotator cuff irritation none Pain and overload in the shoulder muscles and tendons that help control arm movement. Therefore none. —
Shin splints none Exercise-related pain along the shin that often appears when impact load rises too quickly. Shin splints typically require reduced impact and graded return; without assuming that modification, healing from the sport itself is none. —
Shoulder impingement-type pain none Shoulder pain that appears when tissues feel pinched or irritated during arm elevation. None. —
Shoulder instability or dislocation none A shoulder that has slipped out, partly slipped out, or feels unreliable in vulnerable positions. None. —
Back stress reaction (spondylolysis) none A stress injury in the back often linked to repeated extension and rotation loading. Thus none. —
Tennis elbow none Pain on the outside of the elbow linked to overload in the wrist and forearm tendons. Thus heal is none. —
Shin bone stress injury none Stress irritation in the tibia from repeated impact that has outpaced recovery. Therefore none. —
Wrist sprain none A stretched or irritated wrist ligament, often after a fall, impact, or awkward bend. None. —
Wrist tendon pain none Irritation of wrist tendons from repeated gripping, racquet use, lifting, or supporting body weight. None. —
Past-sport transfer logic
Past sport Average correlation (success) Std dev Correlation reasoning Correlation sources
american-football-defensive-back 0.27 0.14 Defensive back performance should correlate positively with sprint/hurdle performance because elite defensive backs typically demonstrate strong acceleration, quick reactive leg stiffness, and efficient high-speed running—core ingredients for short high-power events. The correlation is not extremely high because sprint/hurdle success is also highly dependent on event-specific mechanics (hurdle clearance rhythm, lead/ trail leg coordination, stride pattern, and efficient sprint technique under fatigue) that defensive backs do not train as the primary focus. Net: modest-to-moderately positive correlation with fairly wide individual differences. [66] [67] [68]
american-football-line-player 0.3 0.13 We compare **PAST**: American football **line player** success (power, leverage, short-area force in collision-heavy, explosive bursts) → **FUTURE**: Athletics **sprints and hurdles** success (max acceleration, stiffness/reactive strength, speed maintenance, plus hurdles technique). **Positive overlap (raises correlation):** - Football line play strongly selects for rapid, forceful lower-body actions. Sprinting and hurdling also depend heavily on early acceleration and the ability to produce high force quickly. - Research summarized in football performance testing indicates that force–velocity/CMJ-type qualities relate to sprint outcomes, suggesting a measurable carryover from football power profiles into sprint capability. ([isci.education](https://www.isci.education/en/a-physiological-review-of-american-football/?utm_source=openai)) - Broad training evidence indicates plyometric/explosive training improves short-distance sprint performance, consistent with football-to-sprint neuromuscular adaptation pathways. ([nature.com](https://www.nature.com/articles/s41598-025-10652-4?utm_source=openai)) - Short-range sprint acceleration is linked to jump/force-production measures in trained athletes, supporting that “explosiveness” is a bridge between these domains. ([pmc.ncbi.nlm.nih.gov](https://pmc.ncbi.nlm.nih.gov/articles/PMC3588612/?utm_source=openai)) **Why correlation isn’t high (lowers correlation):** - Sprint/hurdles success requires *specific* mechanics (start technique, sprint posture, stiffness management, hurdle clearance timing, rhythm/frequency). That technical skill is not the same as line blocking/engagement. - Line players typically experience different running/locomotor training patterns than positions closer to open-field speed demands, so they may be less prepared for sprint-specific mechanics and speed endurance (even if raw power is strong). ([journals.lww.com](https://journals.lww.com/nsca-jscr/fulltext/2018/07000/positional_differences_in_running_and_nonrunning.36.aspx?utm_source=openai)) **Bayesian point estimate:** Start with a modest-to-moderate positive prior (power-for-force overlap), then discount for sprint/hurdle technical specificity and position-based differences in sprint-related training. This lands at **r ≈ 0.30** with substantial uncertainty (**std dev ≈ 0.13**). [69] [70] [71] [72]
american-football-linebacker-tight-end 0.21 0.1 Linebacker/tight end success should correlate positively with sprint/hurdle success because both emphasize short-duration, high-power outputs: rapid first steps, explosive hip extension, sprint posture/stiffness, and coordinated acceleration. Also, football’s repeated “burst” contexts build general ability to produce force quickly and stay composed under pressure. But the match is not perfect. Sprint and hurdle performance is highly technique-specific (exact start/drive mechanics, maximal velocity mechanics, and for hurdles, clearance timing and lead/trail leg coordination). Linebacker/TE training usually prioritizes tackling/blocking, short-area contact movement, and reactive play reading rather than repeatable sprint mechanics or hurdle-specific patterns. Therefore the expected correlation is modest rather than strong. [73] [74] [75]
american-football-quarterback 0.31 0.14 Assume the measured construct is: success in the past sport (QB) is associated with a mix of (1) shared athletic capacities that matter for sprints/hurdles—explosive force production, neural drive, stiffness/elastic recoil, and general power training exposure; and (2) QB-specific skills that overlap only partially—throwing mechanics and quarterback-specific movement/field vision. - Overlap that increases correlation: QB success often correlates with athleticism and high-intensity movement capacity (acceleration and speed), and football S&C commonly emphasizes lower-body power components that are known predictors of sprint performance in football populations. The sprint/hurdle determinants (force-velocity, SSC-related stiffness/elastic response, maximal acceleration and near-max speed) are mechanistically compatible with the explosive/plyometric-style capabilities cultivated in football. - Non-overlap that reduces correlation vs a “true sprinter”: QB role selection and success criteria can include passing decision-making and passing execution, which do not directly create sprint/hurdle technique (e.g., hurdle rhythm, lead-leg timing) or the event-specific practice volume that sprinters/hurdlers typically get. Bayesian synthesis: start with a modest prior for dissimilar-but-athletic transfers (~0.20–0.28), then add upward adjustment because football-to-sprint evidence suggests strong associations between explosive strength/jump metrics and sprint performance. Final posterior mean ~0.31 with substantial uncertainty (~0.14) because QB athletic profiles vary a lot (some are primarily passing/cognition specialists; others are elite mobility/speed athletes), and hurdles especially add technique variability. [76] [77] [78] [79] [80]
american-football-receiver-running-back 0.22 0.1 Receiver/running back performance should correlate positively with sprint/hurdles success because both reward short-explosive output: getting up to speed quickly, maintaining mechanics at high velocity, and producing force rapidly. WR/RB players also spend time refining acceleration and agility, which maps reasonably to sprint start/early acceleration qualities and to the ability to express speed. However, the correlation won’t be very high because sprint/hurdles performance depends heavily on specialized track technique (e.g., start/drive mechanics, sprinting rhythm/stride parameters, and for hurdles: clearance timing and lead/trail coordination). Football involves different movement constraints (cuts, traffic, tackling/avoidance) and decision-making, which dilutes how much of the “good at WR/RB” label is about pure sprint mechanics. So a mid-range, modest correlation (around the low-to-mid 0.2s) is a realistic expectation, with uncertainty reflecting how much the athlete’s football role actually involved straight-line speed vs cutting/receiving traffic. [81]
athletics-distance 0.27 0.16 Distance and sprints/hurdles are both athletics, so there is overlap in general “track athlete” skills: discipline, technique-learning ability, and maintaining form across demanding sessions. That creates a small-to-modest positive correlation. But the dominant determinants of sprints/hurdles—maximal acceleration mechanics, maximal velocity technique, stiffness/elastic behavior, and (for hurdles) hurdle-specific rhythm—are not strongly produced by distance-focused training. Therefore the carryover should be limited rather than high. [82] [83] [84]
athletics-jumps-high-jump 0.34 0.11 High-jump success should correlate moderately with future success in sprints and hurdles because both reflect the ability to produce force quickly with good elastic mechanics and coordinated lower-body action. However, sprint and hurdle performance also requires highly specific running technique (acceleration mechanics, frequency/speed maintenance) and in hurdles, precise rhythmic timing over barriers. Since high jump only partially trains those sprint mechanics, the correlation should be well below the jump-to-jump case, but clearly positive. [85] [86] [87]
athletics-jumps-long-triple-jump 0.45 0.15 Long/triple jump performance strongly reflects sprint-like qualities: rapid acceleration into the runway, high stiffness/elastic power, and excellent coordination. Those factors predict a moderate-to-strong likelihood of being able to train into sprints/hurdles and perform reasonably well, especially early phases (acceleration, leg stiffness). However, sprint/hurdle success is still dominated by sprint-specific maximal-velocity mechanics and, for hurdles, precise lead/trail-leg rhythm and clearance technique—skills only partially trained in horizontal jumps. Because athletes vary widely in whether they are primarily speed athletes who happen to jump well or true jump specialists, the correlation should be moderate with high variance, not near-perfect. [88] [89] [90]
athletics-jumps-pole-vault 0.55 0.18 Pole vault performance should correlate moderately-to-strongly with later success in sprints/hurdles because both are highly dependent on approach/acceleration mechanics, ability to apply force quickly, elastic stiffness, and coordination at high speed. Pole vault athletes also train a lot of high-quality sprinting/rhythm in their run-up. The correlation is not near-perfect because sprints/hurdles have distinct technique components (max-acceleration form under longer sprint distances, hurdle lead/trail leg mechanics, stride patterning) and pole vault has major pole-specific skills (plant/inversion) that don’t translate. Hence an average in the mid-0.5 range with substantial individual variance is realistic. [91] [92] [93]
athletics-middle-distance 0.3 0.11 Middle-distance and sprint/hurdles share a track/field running technical foundation (body control, stride coordination, and training/learning behaviors). But the dominant determinants differ: middle distance is mainly aerobic pacing and running efficiency across a longer duration, while sprints/hurdles depend heavily on maximal acceleration, speed, and high leg stiffness/force-rate capabilities (plus hurdle-specific timing). Because of this mismatch, prior middle-distance success should provide only a moderate advantage rather than a strong predictive relationship, yielding an expected correlation around ~0.30. [94] [95] [96] [97]
athletics-throws-discus 0.16 0.07 Sprint-and-hurdle performance depends heavily on maximal acceleration, high-rate force production, stiffness/elastic mechanics, and running-specific technique under short-duration intensity. Discus success depends on rotational strength, hip–shoulder separation, timing/rhythm, and efficient ballistic release. There is only partial overlap in shared underlying qualities (explosive power, trunk/hip coordination, general neuromuscular drive and body control). Because the sprint-specific movement patterns and technique are highly event-specific, the carry-over from discus to sprints/hurdles should be small-to-low-moderate rather than strong. A realistic Bayesian estimate is about 0.16 average correlation with std dev ~0.07. [98] [99] [100]
athletics-throws-hammer-throw 0.07 0.04 Hammer throw and sprint/hurdle events both require high power output and good body control, so there is some positive relationship in general athletic movement learning (kinetic-chain coordination, force production timing, dynamic balance). But the main technical skills are different: hammer throw’s key is rotational throwing with implement leverage and sequence timing to maximize throw distance, while sprints/hurdles prioritize acceleration mechanics, elastic stiffness, and high-speed stride technique (and hurdle-specific rhythm). Because the dominant performance drivers only partially overlap, the expected correlation is small, slightly above zero. [101] [102]
athletics-throws-javelin 0.33 0.1 Javelin performance is built on fast runway speed and converting that speed into an explosive action, which strongly overlaps with sprint/hurdle requirements at the level of lower-body mechanics (stiffness/elastic recoil, force application timing, and acceleration mechanics) and general ability to produce high power quickly. However, javelin also requires a large additional set of skills—shoulder/arm sequencing, throw timing, and rotational/arm mechanics—that don’t directly improve sprint mechanics. Also, hurdle clearance technique (lead/trail leg coordination, rhythm between hurdles) is largely absent in javelin. So the carry-over should be positive but not extremely high: roughly a low-to-mid 0.3 range on average, with variability depending on whether the athlete’s strength is more speed/approach mechanics versus throwing-specific skill. [103]
athletics-throws-shot-put 0.38 0.14 Shot put and sprint/hurdle events are both power-dominant athletics disciplines. Success in shot put indicates strong lower-body force production, effective bracing/trunk control, and good ability to create high power quickly—qualities that translate into acceleration and short ground-contact mechanics. That creates a clearly positive relationship. However, the dominant sport-specific technique differs: shot put is driven by release/leverage and either glide or rotational mechanics, while sprints/hurdles require repeated maximal acceleration mechanics, sprint posture, and (for hurdles) precise timing for hurdling. These differences limit how strongly shot put performance predicts sprint/hurdle performance. Therefore a moderate positive correlation with substantial spread is the most realistic expectation. [104] [105] [106] [107]
badminton 0.08 0.05 Badminton excellence should correlate positively with short sprint/hurdle potential because both reward rapid perception-action, high-rate lower-body coordination, and the ability to produce powerful acceleration repeatedly. That said, sprint and hurdle performance is highly technique- and phase-specific (drive mechanics from blocks/starts, stiffness control across the whole acceleration-to-top-speed transition, and hurdles’ lead-leg/trail-leg timing), which badminton does not directly train. Therefore the expected correlation is modestly positive but not large—around ~0.06–0.12—with meaningful uncertainty. [108]
baseball-catcher 0.08 0.06 Baseball catcher performance should have only a small relationship with sprint/hurdle success. There is some overlap in general attributes that can be learned/expressed in both contexts: quick reactions, coordination, and the ability to generate force in short bursts (e.g., quick movements from the crouch, fast throws/reactions). Those can slightly help an athlete learn acceleration and hurdle mechanics. However, the key determinants of sprints/hurdles are event-specific: starting technique, step frequency/length organization, sprint posture and stiffness management, hurdle clearance mechanics, and efficient acceleration-to-speed transition. Catcher training focuses on receiving/blocking/throwing timing and positional skills rather than developing sprint-specific force-vectoring and running mechanics. So the expected correlation is low but not zero, with moderate dispersion: some catchers will transition well due to strong underlying explosiveness and good movement learning, while others will not because their “success” came mainly from ball-handling and game skills rather than sprint mechanics. [109]
baseball-field-player 0.07 0.06 Baseball field players train lots of short explosive movements (sprint to a ball, break toward bases, quick changes of direction) and learn to react instantly to cues. Those can transfer modestly to sprint/hurdle performance via general acceleration ability, stiffness/coordination, and mental speed. But sprinting and especially hurdling are highly technique-specific: stride mechanics, maximal velocity mechanics, hurdling rhythm/lead-trail leg timing, and approach-to-bar patterning. Baseball also includes frequent deceleration/cutting and throwing mechanics that don’t match pure sprint motor patterns. So the carryover should be small-to-modest but positive. I use ~0.07 average correlation with ~0.06 standard deviation to reflect that some baseball fielders also have sprint/hurdle training (higher scores), while many focus more on hitting/fielding bursts and develop less sprint-specific technique (near-zero for them). [110] [111]
baseball-pitcher 0.06 0.05 Pitcher success can relate weakly to sprint/hurdle success via general neuromuscular traits trained through repetitive high-power efforts (explosiveness practice, coordination, staying sharp). Also, pitchers are accustomed to accelerating to a peak action and performing with high precision under pressure, which can ease adaptation to “maximal effort” training. However, sprint/hurdle performance is dominated by running-specific mechanics (start/acceleration mechanics, stride frequency/length timing, ground-contact stiffness) and, for hurdles, clearance technique—none of which is directly practiced in pitching. Because the requested correlation is only technique/skill/mentality carryover (excluding body-proportion advantages), the effect should be small but not zero. [112] [113] [114]
basketball-big 0.12 0.06 Basketball “Big” shares a limited but real overlap with sprints/hurdles: short explosive efforts, leg power, quick reaction to stimuli, and some coordination for takeoff/landing. However, sprint/hurdle performance is highly technique-specific (start mechanics, stride pattern, stiffness management, hurdle clearance rhythm) and basketball Big’s primary success factors are more about interior play (rebounding/rim protection/close-quarters movement) than sprint mechanics. With body-size effects excluded, the net result is a small positive correlation rather than a strong one. [115] [116]
basketball-guard 0.14 0.1 Basketball guards typically practice many short, maximal-effort bursts (drives, closeouts, defensive slides to recovery steps), and they must coordinate acceleration/decelleration with quick decision-making. That produces some transferable qualities for sprints and (to a lesser extent) hurdling: leg power expression at short distances, coordination, and reactive movement. However, sprint and hurdle success is heavily determined by technical details that basketball does not train directly—max-velocity mechanics (stride frequency vs length), stiffness/elastic rebound timing, and hurdling rhythm/lead-trail leg mechanics. Since those are only partly developed in basketball, the expected carryover is modest-to-small, not high, but still above near-zero because of the shared acceleration-heavy nature. Thus an average correlation around ~0.14 with fairly wide uncertainty is plausible. [117] [118]
basketball-wing 0.07 0.06 Basketball wing performance should give a slight advantage for sprint/hurdle events because it includes repeated maximal-effort bursts, athletic coordination, and fast-twitch engagement. However, sprint/hurdle success is dominated by highly specific acceleration mechanics, straight-line speed mechanics, and (for hurdles) clearance rhythm—skills not strongly trained in basketball. Therefore the expected correlation is small but non-zero (~0.07), with moderate uncertainty (~0.06) reflecting variability in how well basketball-conditioned athletes adapt to track sprint technique and hurdling rhythm. [119] [120] [121]
boxing 0.07 0.05 Boxing may help sprints-and-hurdles athletes a little through transferable “building blocks”: explosive acceleration bursts, coordination, and balance/control when your body is disrupted—all useful for the start, driving phase, and hurdle takeoff/landing stability. But boxing’s core techniques (striking, guard, distance management) don’t teach sprint-specific mechanics or hurdle rhythm (start block technique, ground-contact timing, stiffness management, approach cadence, clearance mechanics). Therefore, the expected skill/mentality carry-over is small but plausibly positive. [122] [123] [124] [125]
climbing-bouldering 0.06 0.06 Bouldering success is associated with short, intense force production, strong body tension/bracing, and coordinated whole-body positioning under load. Sprint/hurdle success also relies on producing force quickly and maintaining stiffness/elastic efficiency, plus good coordination. The overlap is therefore in general “explosive coordination” and motor control, but the key determinants are sport-specific: acceleration technique (starts), stride mechanics, ground-contact management, and (for hurdles) hurdle clearance patterns. Because those mechanics are not trained by bouldering in a direct way, the expected carryover is small but likely slightly positive. [126] [127] [128]
climbing-lead 0.07 0.05 Lead climbing success is primarily about efficient movement economy, balance/proprioception, and sustaining technique while grip and forearms fatigue (plus some general endurance/pacing). Sprinting and hurdling performance is dominated by maximal acceleration, leg stiffness/elastic/reactive mechanics, and event-specific speed technique (starts, sprint mechanics, hurdle rhythm). There is some modest carry-over in general coordination, body control, and maintaining technique under fatigue/discomfort—so the correlation should be slightly above zero. But because the key performance requirements are different (upper-body/friction/bracing vs lower-body high-power acceleration and elastic mechanics), climbing being good is not a strong predictor of sprint/hurdle success. A realistic estimate is therefore a small positive correlation centered around ~0.07 with relatively small-to-moderate uncertainty (~0.05), reflecting that some athletes may already have sprint ability or general athleticism that helps them adapt quickly, while many climbers will need substantial sprint-specific training. [129]
climbing-speed 0.18 0.09 Climbing speed and sprints/hurdles share the biggest limiting factor at the performance level: producing high force quickly over short durations (acceleration, coordination, and stiffness/body tension control). That creates a noticeable but not large carry-over. However, sprint/hurdles success is very technique- and mechanics-specific (start mechanics, stride frequency/length tradeoffs, transition phases, hurdle clearance and rhythm). Climbing speed’s key “technique” is hold-to-hold movement on a vertical course, which only partially maps to running/hurdling mechanics. So the correlation should be clearly below “very similar sports” levels, but higher than for endurance events. [130] [131] [132]
cricket-all-rounder 0.04 0.03 Cricket all-rounders may have some transferable elements for short high-power running—like coordination, quick reaction, and experience with short bursts in the field. However, maximal sprint/hurdle success depends heavily on event-specific mechanics (starts, stiffness and acceleration mechanics, hurdle rhythm, and takeoff/landing technique). With body/physical-trait confounds excluded, only a small nonzero component remains, so the correlation should be very low and noisy. [133] [134] [135] [136]
cricket-batter 0.05 0.03 Cricket batter excellence involves hand–eye timing, repeatable striking mechanics, and stable lower-body control in quick, discrete movements. Sprint/hurdle performance is mainly determined by sprint-specific acceleration mechanics, force production and stiffness/elasticity expression, technique efficiency at maximal speed, and (for hurdles) event-specific rhythm and lead-trail coordination. There is limited carry-over: general neuromuscular coordination, competitive execution under time pressure, and some transferable balance/leg control. But the key determinants are largely different, so the correlation should be near zero with a small positive value. [137]
cricket-bowler 0.06 0.07 Sprint/hurdle event performance is dominated by running-specific acceleration mechanics (force application, stiffness, stride coordination) and, for hurdles, clearance rhythm. Cricket bowling is an overarm throwing/release skill with different biomechanics, so technique overlap is limited. Still, bowlers train repeat explosive efforts with rhythm and loading, and successful athletes often adapt quickly to new technical demands. That creates a small positive carryover, but not a large one. Hence an average correlation around 0.06 with moderate uncertainty. [138] [139] [140] [141]
cricket-wicketkeeper 0.06 0.06 Cricket wicketkeeping shares only limited technique overlap with sprints and hurdles. The strongest common elements are general coordination, balance, and quick reaction from a low ready position, which can modestly help sprint/hurdle learning. However, actual event success is dominated by sprint start mechanics, maximal acceleration/stride mechanics, stiffness/force application patterns, and hurdle rhythm/clearance technique—skills wicketkeeping does not meaningfully develop. So the expected carryover in skill-based “success” is small but slightly positive. [142] [143] [144]
cycling-mountain-bike-cross-country 0.08 0.07 Mountain bike cross-country performance should have a low but non-zero correlation with future success in sprints and hurdles because there is little technical overlap. MTB cross-country is mainly aerobic and submaximal with repeated surges, whereas sprints/hurdles are dominated by maximal acceleration, very high-intensity coordination, stiffness/elastic recoil, and (for hurdles) event-specific technique. The carry-over is therefore mostly general athletic qualities—basic lower-body coordination, the ability to generate force under fatigue, and familiarity with training hard—yielding only a small positive relationship rather than near-zero. [145] [146] [147]
cycling-road-climber 0.12 0.1 A cycling road climber’s main competitive edge is sustained power and fatigue resistance on steep gradients—an endurance/pacing skill set. Sprint and hurdles success depends more on maximal acceleration, leg stiffness, neuromuscular timing, and event-specific mechanics (including hurdle clearance rhythm). There is some indirect carry-over through general lower-body strength/force production and overall athletic training quality, which can slightly improve how quickly a climber can build sprint ability. But because the movement pattern and key qualities differ, technique-specific transfer is small and highly dependent on whether the athlete has already trained sprint-like power/plyometrics. Therefore the expected correlation is low with substantial spread. [148] [149] [150] [151]
cycling-road-sprinter 0.36 0.13 A cycling road sprinter’s best results correlate positively with success in short sprints and hurdles because both reward the ability to produce high force rapidly and repeatedly, and both cultivate a “max effort on command” mindset. However, correlation is not near-high because the specific mechanics differ substantially: pedaling torque and cycling cadence are not the same as sprint acceleration, sprint posture, elastic stiffness, and hurdle clearance technique. Therefore the expected carry-over is moderate (around the mid-0.30s) with sizeable uncertainty depending on how much the cyclist’s training included running/plyometrics/speed mechanics versus mainly cycling-specific work. [152] [153] [154] [155]
cycling-road-time-trialist 0.18 0.12 Cycling road time-trial success should correlate only weakly with success in short sprints and hurdles. The overlap is mainly in “can you produce strong force quickly” and athletic training habits (self-discipline, conditioning). However, time trialists typically develop power for sustained high output (threshold/critical power) more than the sport-specific maximal acceleration mechanics, elastic stiffness, and sprint/hurdle technique that decide sprint/hurdle results. Therefore the expected carry-over is small-to-modest, with substantial variability across individuals depending on whether they also have a sprint/balance/neuromuscular background beyond TT. [156] [157] [158]
cycling-track-endurance 0.16 0.08 Cycling track endurance emphasizes sustaining speed and repeated efforts, not maximal acceleration or the extreme stiffness/elastic-reactive mechanics typical of sprints and hurdles. That means the technical and energy-system overlap is limited. Still, there is some positive carry-over because successful endurance cyclists often have a strong lower-limb foundation and good movement efficiency/coordination, and those can help a beginner sprint/hurdle athlete adapt faster than someone with no sport background. Given the mismatch in emphasis (endurance vs maximal acceleration), the carry-over should be small but not zero—plausibly around ~0.10–0.22, with an average near 0.16 and a moderate spread due to individual variability (some endurance cyclists also have high sprint/force capacity). [159]
cycling-track-sprint 0.28 0.16 Short sprints and hurdles are power-and-acceleration dominant, matching what cycling sprint track strongly trains: explosive lower-body force, rapid acceleration, and the ability to sustain maximal output through short efforts. That creates a moderate positive carry-over. However, hurdle and even flat-sprint performance are highly dependent on running-specific technique (stride mechanics, stiffness control, takeoff/landing coordination, hurdle rhythm), which cycling sprint does not teach directly (pedaling mechanics are different). Since the event family bundles sprints and hurdles, some athletes will transition better than others, giving a moderately sized mean correlation (~0.28) with fairly high uncertainty (~0.16). [160] [161] [162]
fencing-epee 0.07 0.06 Epee can modestly predict early sprint/hurdle adaptation because good fencers typically show excellent foot timing, coordination, balance, and the ability to accelerate while maintaining posture—qualities that relate to the start and early acceleration phase. However, maximal sprint/hurdle performance is dominated by event-specific biomechanics (high-force, short-contact mechanics; stiffness management; maximal-velocity technique; hurdle rhythm/clearance), which fencing doesn’t directly teach. So the correlation is expected to be small but positive—higher than for endurance events, lower than for highly overlapping sports/positions. [163] [164] [165]
fencing-foil 0.06 0.06 Foil fencing and sprint/hurdle events share some technique-neutral components that can transfer slightly: rapid explosive initiation, fine control of body position during acceleration, and competitive composure under short-burst pressure. However, the dominant determinants of sprint/hurdle success are highly specific: maximal acceleration technique, elastic stiffness, optimal sprint mechanics, hurdle rhythm/timing, and the ability to repeatedly produce high horizontal force. Foil’s lunge/point-control and weapon-interaction mechanics do not closely train the running-specific stiffness/stride mechanics or hurdle sequencing. Therefore, the expected skill carryover is only small-to-minimal positive, with relatively low variance: most well-performing fencers gain at least some “explosive timing and control” learning, but only some will translate it into true sprint mechanics quickly. [166] [167]
fencing-sabre 0.11 0.1 Fencing sabre performance is strongly tied to explosive initiation, acceleration, and repeated high-intensity directional changes, all of which overlap with the skill demands of short sprints and hurdles at a general level (maximal acceleration, fast leg cycling, and high coordination under time pressure). That creates a modest positive correlation. But the correlation is not high because sprint/hurdle success is dominated by event-specific mechanics (starting block technique, maximal velocity mechanics, hurdle clearance geometry and timing, sprint rhythm) that are largely not taught in sabre. Since most of the “how good you are” variance is technique-specific to the track event, transfer remains limited. [168]
field-hockey-goalkeeper 0.05 0.05 Field-hockey goalkeeper and sprint/hurdle events have limited direct technical overlap. Goalkeeper expertise focuses on reading the ball, positioning, and executing reactive saves with stick/legs in a constrained goal area. Sprints and hurdles depend on event-specific acceleration form, stiffness/elastic mechanics, and (for hurdles) takeoff/clearance technique and rhythm. Some carry-over is plausible: good goalkeepers tend to have strong body control, quick decision-making, and experience with explosive bursts and recovering positioning after sudden movement. That can create a small positive correlation in “people who perform well in one also tend to perform well in the other,” mainly through general athletic attributes and training habits rather than transferable sprint mechanics. [169] [170]
field-hockey-outfield 0.12 0.1 Field-hockey outfield success should show a small-to-moderate positive relationship with sprint-and-hurdle success because both reward repeated high-intensity bursts, leg power, and the ability to explode quickly after changes of speed. However, sprinting/hurdling performance is highly event-specific: maximal acceleration mechanics, running stiffness, stride pattern optimization, and hurdle rhythm/clearance technique are trained very differently than hockey’s multidirectional stick-and-ball tasks. Since we exclude body-proportion advantages, the remaining transferable component is mainly general explosiveness/quickness and competitive readiness, yielding a low positive correlation rather than a strong one. [171] [172]
golf 0.02 0.03 Golf and short sprints/hurdles share only general skill-learning traits: attention to technique cues and the ability to execute a practiced action reliably under pressure. But the decisive performance determinants for sprints/hurdles are running-specific: maximal acceleration mechanics, stiffness and power expression, start technique, and hurdle-specific rhythm/lead-leg trail-leg coordination. Because these are largely absent from golf, only a minimal positive correlation is plausible. [173] [174] [175]
gymnastics-artistic 0.06 0.05 Artistic gymnastics should have a small positive carryover to sprints/hurdles via transferable coordination, trunk control, and explosive/power execution. However, sprint and hurdle success is dominated by sprint-specific qualities: maximal-velocity mechanics, start/acceleration specifics, and (for hurdles) precise hurdle rhythm and step patterning. Since those are not trained directly by artistic gymnastics, the overall carryover should remain modest and close to “small positive.” [176] [177] [178]
gymnastics-rhythmic 0.09 0.06 Rhythmic gymnastics develops excellent neuromuscular coordination, balance, and whole-body control—skills that can modestly speed up learning of efficient sprint mechanics (posture, alignment, and body organization at high speed). However, sprint/hurdle success is heavily driven by speed-specific determinants: maximal acceleration mechanics, stiffness/elastic power under high forces, sprint start technique, and (for hurdles) clearance technique and rhythm. These are not trained with comparable intensity or specificity in rhythmic gymnastics. As a result, past rhythmic gymnastics excellence should predict sprint/hurdle success only weakly. Some gymnasts with additional sprint/jump backgrounds will show higher transfer, creating meaningful uncertainty. [179] [180] [181] [182]
gymnastics-trampoline 0.13 0.07 Trampoline-to-sprints should be weak-to-modest positive. The carryover comes from neuromotor skills: body awareness, coordination, posture control, and elastic/reactive timing that can help sprint form and acceleration quality. However, sprint success is strongly influenced by sprint-specific acceleration mechanics, maximal velocity mechanics, and (even when focusing on technique) the ability to repeatedly produce high ground-reaction forces at high speed—capacities trampoline only trains indirectly via elastic/landing control. Thus the correlation should sit around ~0.1–0.15 with noticeable uncertainty. [183] [184] [185]
handball-backcourt 0.1 0.08 Handball backcourt success can correlate positively with sprint/hurdle success because both reward: (1) explosive acceleration in short bursts, (2) coordination and quick perception-action timing, and (3) staying composed while driving hard. But the technical overlap is limited: sprint/hurdle performance is dominated by running mechanics (stride length/frequency, braking-then-acceleration management, elastic stiffness), and hurdling adds clearance technique. Handball backcourt mainly trains throwing/passing timing, catching, and shooting release, plus intermittent movement rather than full sprint mechanics. So a modest positive correlation is plausible, but it should not be large because most of the learning required for sprints/hurdles is specific to track technique and nervous-system conditioning for maximal speed. [186]
handball-goalkeeper 0.07 0.05 Handball goalkeeper performance often reflects fast neuromuscular responses, good lower-body coordination, and the ability to generate short, high-intensity movements (e.g., pushing off, changing direction, explosive recoveries after dives). Those elements overlap somewhat with sprint/hurdle requirements for acceleration and rapid ground contact. However, sprint and hurdle success is extremely technique-specific (drive mechanics, running mechanics at maximal velocity, hurdling rhythm/clearance/lead-leg patterns), which a handball goalkeeper does not train directly. So we expect a small positive relationship—mostly via general explosiveness, coordination, and comfort moving fast/reacting—not via direct transfer of sprint/hurdle technique. [187] [188]
handball-pivot 0.07 0.05 Handball Pivot success involves short-range explosive actions (quick steps to create/maintain position, rapid accelerations into space for a pass/shot), strong body bracing under contact, and good coordination/decision-making in tight spaces. Short sprints and hurdle events also depend on maximal acceleration, stiffness/elastic power, and rapid force application with excellent coordination. That creates some transferable signal: generally being able to generate speed quickly and coordinate the body under intensity can carry over a bit. But sprint/hurdle performance is highly driven by event-specific mechanics—start technique, acceleration mechanics, sprint stride pattern, and for hurdles the approach-to-takeoff timing and clearance mechanics. Handball pivot work doesn’t teach those core motor patterns directly, and the sport’s frequent contact/turning/game timing differs from track execution. So the correlation should remain limited rather than high. [189]
handball-wing 0.1 0.07 Handball wing success should carry some advantage to sprints/hurdles because both emphasize explosive acceleration, coordination at speed, and performing high-power movements repeatedly with fast decision-making. That shared motor “speed economy for short bursts” is likely to create a modest positive correlation. But handball wing movement patterns include cutting, jumping/landing for possession/shooting, and frequent deceleration/reacceleration, which only partially overlap with sprint mechanics (start technique, running posture, stride frequency/length regulation). For hurdles, you also add event-specific clearance technique. Therefore the carryover should be modest and variable rather than high. [190] [191] [192]
ice-hockey-defenseman 0.08 0.06 Ice hockey defenseman success overlaps with sprint/hurdle success mainly in general qualities used in short bursts: high power output, acceleration ability, and coordinating movement rapidly under pressure. That creates a small-to-modest positive correlation. However, sprint/hurdles are governed by sprint-specific mechanics (stride frequency/length, stiffness, force application in the sprint plane), plus hurdling-specific technique and rhythm (lead/trail leg coordination). Hockey defense does not train those patterns directly; much of hockey’s technique is skating-based with different stride mechanics and frequent contact/tactical positioning. Therefore, transfer is limited and the correlation should stay modest rather than high. [193] [194] [195]
ice-hockey-forward 0.11 0.07 Ice-hockey forwards and sprint/hurdle athletes overlap mainly in explosive, high-power movement and high-tempo execution (accelerate quickly, sustain speed in short windows, coordinate body position under fatigue). That creates a modest positive skill carryover. But the dominant technique systems differ: hockey acceleration is through skating push mechanics and includes braking/turning and stick/puck tasks, while sprints/hurdles depend on running-specific mechanics (stride frequency/length balance, posture control, ground-contact timing) and—if hurdles are included—very event-specific clearance technique. Because these sport-specific mechanics don’t transfer cleanly, correlation is unlikely to be large. [196] [197] [198]
ice-hockey-goalkeeper 0.05 0.05 Ice hockey goalkeeping involves repeated rapid pushes, explosive reactions, and quick changes in body stiffness/position, which can correlate modestly with success in short sprints and hurdles through general speed-activation and coordination. But sprinting/hurdling success depends heavily on very specific technique (start mechanics, step pattern, force application through the stride, and hurdle clearance timing) that is not the main training focus for goaltending. Because the overlap is mostly general and the technique mismatch is large, the expected average correlation stays small, with substantial variation across individuals (some goalies have strong leg explosiveness/plyometric conditioning; others don’t, and hurdle-specific learning can help or hinder). [199]
judo 0.11 0.07 Judo and sprints/hurdles share several non-trivial, technique-related components: both require rapid, high-intensity movement bursts; excellent whole-body coordination during fast transitions; and the ability to apply force efficiently in short windows while maintaining balance under dynamic conditions. Judo athletes also tend to be comfortable generating power explosively and handling contact/impulse—useful for the acceleration phase where stiffness and force transfer matter. However, sprint/hurdle performance depends heavily on sprint-specific mechanics (start and drive phase, optimal stride pattern, stiffness/ground-contact strategy over many steps, and—if hurdling—precise rhythm and hurdle clearance technique). Judo training does not directly teach those running patterns or hurdle-specific timing. So carry-over in ranking between people who excel at judo and people who excel at sprints/hurdles should be modest rather than strong. [200] [201]
lacrosse-attacker 0.09 0.07 Lacrosse attacker success should be weakly positively related to sprint/hurdle event success because both involve explosive speed bursts and high-power outputs. However, the dominant determinants for sprint and especially hurdles are highly technical (start, stride mechanics, stiffness/rhythm, and hurdle clearance coordination). Lacrosse attackers train acceleration in a stop-start, evasive, and stick-dependent context, so the overlap with sprint/hurdle technique is limited. Thus the expected correlation is small, with lower predictability for individuals who haven’t done dedicated sprint/hurdle mechanics training. [202] [203]
lacrosse-defender 0.06 0.05 There should be a small positive correlation between being good at lacrosse defender and doing well in short sprints and hurdles because both require producing high power in short bursts, maintaining technique under pressure, and having explosive leg drive. However, lacrosse defending is built around direction changes, checks, stick-ball actions, and repeated accelerations from varied body positions, which do not map cleanly to sprint mechanics or hurdle technique. Since sprint/hurdle performance is driven by very specific force-production timing, stride frequency/length control, and (for hurdles) clearance coordination, the transfer should remain low rather than moderate. [204]
lacrosse-goalkeeper 0.06 0.04 Sprints and hurdles reward maximal acceleration, stiffness, and repeatable run mechanics plus (for hurdles) precise timing over obstacles. Lacrosse goalkeeper success may carry over some general explosiveness, ability to react, and coordination for fast bursts—so the correlation should be modestly above zero. However, the core technical content differs substantially: sprint starts, acceleration posture, stride mechanics, and hurdle technique are not trained by goalie play. That mismatch prevents a strong correlation and likely keeps it low with noticeable individual variation. [205] [206] [207]
lacrosse-midfielder 0.11 0.07 Lacrosse midfielders who perform well typically have good repeated acceleration ability, leg stiffness, and the ability to sprint after transitions—qualities that overlap with the underlying physical/neuromuscular requirements of sprints and hurdles. That creates a modest positive relationship between being successful in lacrosse midfield and later succeeding in short high-power events. However, sprint-and-hurdle performance is highly technique- and event-specific: maximal acceleration depends on start/first-step mechanics, posture/force application timing, and sprint mechanics under fatigue control, while hurdles add clearance geometry and rhythm. Lacrosse accelerations are often in changing directions, with reactions to a ball/stick and opponents, so the learned patterns don’t map perfectly to straight-line sprinting or hurdle mechanics. Given that we’re excluding physique advantages, the overlap is mostly in acceleration/power and general speed qualities, not full technical mastery—so the expected correlation stays around ~0.11 with substantial variance across individuals (e.g., some lacrosse athletes naturally adapt to track sprint mechanics; others don’t). [208] [209]
padel 0.06 0.04 Padel-to-sprints/hurdles carry-over is modest because both environments reward brief, high-intensity bursts, quick changes of direction, and the ability to produce force rapidly. A skilled padel player may therefore adapt faster to the “feel” of explosive movement and maintain coordination during maximal efforts. But the dominant learning in sprints/hurdles is highly specific: start technique, acceleration mechanics, running stiffness/ground-contact strategy, and (for hurdles) rhythm plus precise lead/trail leg coordination. Padel’s racket timing and rebound decision-making are not substitutes for those technical patterns. So the expected correlation between being good at padel and being good at sprints/hurdles should be small, with wide individual differences depending on whether the person also trains sprinting power/plyometrics. [210]
pickleball 0.05 0.03 Sprints/hurdles require very specific learned mechanics (start, acceleration angles, leg stiffness and power expression, hurdle technique/lead-trail rhythm). Pickleball does not train those directly, so the expected carry-over is near zero. However, success in pickleball does correlate with general qualities like fast coordination, quick reaction to cues, and the ability to repeatedly produce short bursts of speed—things that can slightly help when learning sprinting mechanics. Net effect: small positive correlation around ~0.05 with modest uncertainty. [211] [212] [213]
rowing-lightweight 0.1 0.07 Lightweight rowing should have a small positive correlation with sprint/hurdle success, but it is limited. Rowing can build whole-body coordination, posture control, and (to a lesser extent) leg/trunk power and stiffness-like qualities that help athletes become more athletic. Also, athletes who perform well in rowing tend to be disciplined and good at technical repetition. However, sprinting and hurdling rely heavily on very specific neuromuscular qualities and technical skills that rowing does not train well: maximal acceleration mechanics, high-frequency stiffness during very short ground contacts, fast deceleration/re-acceleration, sprint posture at top speed, and—especially for hurdles—timing of takeoff, lead/trail leg rhythm, and clearance strategy. Lightweight rowing emphasizes aerobic efficiency more than true sprint speed. Therefore the expected correlation is low (near the “quite different” band), with substantial variance depending on whether the athlete also has sprint/plyometric/hurdle training outside rowing. [214]
rowing-openweight 0.12 0.07 Rowing openweight success is driven by sustained whole-body force production, rhythm, and endurance, plus the ability to apply force repetitively through a specific pulling stroke (and boat dynamics). Athletics sprints/hurdles success is dominated by maximal acceleration, sprint mechanics (low braking, appropriate joint stiffness and coordination), and event-specific technique (especially hurdle timing). There is some overlap in general qualities such as high-intensity power, leg drive strength, and the mental habit of dealing with repeated hard efforts, but the key determinants and movement patterns differ substantially. Because we’re ignoring body proportions, the remaining transferable component is mainly motor coordination under fatigue and general high-power training adaptation—suggesting a small positive correlation rather than near-zero. [215] [216] [217]
rugby-union-halfback-midfield 0.14 0.12 Rugby union halfback/midfield performance can correlate with sprint/hurdle success because it reflects general capabilities that matter for short high-power running: explosive acceleration from a game context, coordination, and the ability to express force quickly over short distances. However, sprint/hurdle success is heavily determined by highly specific technique (block/start mechanics, step timing, posture, and for hurdles clearance patterns). Rugby also includes frequent contact and deceleration/re-acceleration decisions that don’t directly train pure sprint mechanics. So the expected relationship is positive but modest, with fairly large variation depending on how well an athlete adapts to sprint/hurdle technique and how much event-specific training they do after switching. [218] [219] [220] [221]
rugby-union-loose-forward 0.14 0.09 Loose forwards perform many short explosive efforts (sprints to contest/receive, chase breaks, and forceful bursts through contact). Those experiences can transfer some of the “ability to accelerate hard” and the tolerance for high-intensity work, producing a modest positive correlation. But sprint and hurdle events are highly technique-dependent. Sprint success depends on precise mechanics that maximize acceleration-to-top-speed transition and reduce wasted motion; hurdles add additional, very specific coordination (lead-leg/trail-leg timing, clearance technique, rhythm). Rugby’s movement is also often stop-start and collision-focused, which can help power, but does not train the exact mechanics or rhythm needed for maximal sprint/hurdle performance. So the correlation should be low-to-moderate, driven mostly by athleticism and explosiveness rather than directly transferable event technique, with wide individual variability (some rugby loose forwards are naturally very fast and elastic; others are more power/contact oriented). [222]
rugby-union-outside-back 0.42 0.14 Rugby union outside-back performance is typically a strong expression of the same core physical skills sprint/hurdle events depend on most: maximal acceleration, high running speed, elastic force production, and good coordination under pressure. That creates a moderate-to-high expected carry-over from rugby success to sprint/hurdle success. The correlation is not very high because hurdling includes substantial event-specific technical learning (clearance mechanics and approach/rhythm over barriers), and rugby’s sprinting is frequently embedded in stop-start, contact, and directional changes rather than maximal-repeat sprint mechanics. So overall: meaningfully positive, but not near-universal. [223] [224] [225] [226] [227]
rugby-union-tight-five 0.05 0.05 Rugby tight five success is largely driven by scrum set-piece force production, close-contact leverage, and repeated collision tolerance. Sprint/hurdle success depends much more on sprint-specific acceleration technique, elastic stiffness/ground-reacton timing, stride length/frequency control, and (for hurdles) rhythm and lead-leg/trail-leg mechanics. There is a small positive connection because both involve producing power quickly and maintaining mechanics under fatigue/stress, and because high-performing rugby forwards often develop a degree of explosive strength. But the key determinants of sprint/hurdle performance are highly technical and typically trained directly in track settings; tight five does not strongly train the precise sprint acceleration pattern. Therefore the expected average correlation is low (~0.05) with some uncertainty: some tight-five athletes may also have exceptional speed/agility inputs and adapt quickly, while others will not. [228]
skiing-alpine-speed 0.07 0.06 Alpine speed-event skiing builds useful general ingredients—leg power expression, the ability to stay mechanically stable while moving very fast, and effective force absorption/re-centering that can resemble some aspects of producing acceleration or maintaining stiffness. But sprinting and hurdles are dominated by highly sport-specific skill: the sprint start/run-up mechanics, foot strike/ground contact patterns, stride management, and for hurdles the exact timing/clearance technique. Skiing’s technique constraints (ski/surface interaction, edge control, gravity-driven line choice) do not teach these in a directly transferable way. Therefore the expected carry-over is small but not zero, giving an average correlation around ~0.07 with a similar magnitude variability (~0.06) depending on how much the athlete also trained sprinting/plyometrics. [229] [230] [231]
skiing-alpine-technical 0.06 0.05 Technical alpine skiing (slalom/giant slalom) builds strong leg coordination, balance under changing forces, and ability to absorb and redirect force quickly. Those can make learning running mechanics and maintaining form somewhat easier when transitioning to short, high-power efforts. However, “sprints and hurdles” performance is dominated by sprint- and hurdle-specific factors: maximal acceleration mechanics (start + early drive), rate of force development in the correct direction, elastic/strength characteristics from repeated sprint training, and (for hurdles) rhythm/clearance technique. Alpine skiing does not train those primary determinants directly. Therefore, the carry-over from skiing excellence to sprint/hurdle excellence should be small but not zero (low positive correlation). [232] [233] [234]
skiing-cross-country 0.06 0.03 Cross-country skiing success (especially endurance XC) reflects aerobic capacity, movement economy, and maintaining coordination over long efforts. Sprint/hurdle success is dominated by short-burst neuromuscular power, maximal acceleration technique, elastic stiffness, and event-specific rhythm. While good XC skiers may have generally strong balance, coordination, and conditioning that helps with training volume and injury resistance, the specific “how to generate force instantly and repeatedly at maximal speed” skill set is largely different. Therefore carry-over should be small but not zero, since general leg coordination and athletic learning ability can slightly aid sprint mechanics acquisition. [235]
snowboarding 0.13 0.16 Snowboarding and sprint/hurdle events share some general “athletic” ingredients: lower-body coordination, proprioception, the ability to produce force quickly, and staying stable while generating movement under changing conditions. However, the dominant determinants of sprint and hurdle success are sprint-specific mechanics (start/drive phase, running stiffness, contact timing, and for hurdles hurdle technique/clearance rhythm) and speed training history. Snowboarding’s primary force application and movement patterns are not the same as straight-line sprinting or hurdle rhythm, so the correlation should remain modest. A realistic expectation is therefore low-to-small positive carryover (around ~0.13) with high variability (std dev ~0.16), depending on whether the athlete also does running/speed work outside snowboarding. [236] [237] [238]
soccer-central-defender 0.03 0.03 Central defender success has limited direct overlap with sprint-and-hurdle success. The key determinants for sprints/hurdles are maximal acceleration mechanics, ground-contact stiffness, sprint rhythm, and (for hurdles) precise clearance technique and stride patterning—skills not developed as a central defender’s primary technique. There is some incidental overlap in explosive duels, reacting to fast changes in play, and general athletic competitiveness, which can modestly help learning. Net effect: very small positive correlation, close to 0.00–0.05. [239] [240] [241]
soccer-central-midfielder 0.09 0.07 Central midfield performance usually includes strong repeated acceleration and the ability to explode out of duels and transitions, which gives a modest head start for sprint-related qualities like leg drive and short-burst power. However, sprinting (especially hurdles) is highly technique-specific: starting/drive mechanics, frequency/length balance, and hurdle coordination are learned in a very different movement environment than soccer. So the carry-over is small-to-modest positive—more about general speed qualities and competitive explosiveness than about directly transferable event technique. [242]
soccer-goalkeeper 0.035 0.04 Soccer goalkeeping success should have only a small relationship with sprint-and-hurdle success. There is some overlap in general athletic qualities relevant to short high-power efforts—rapid reaction, explosive movement, and repeated bursts. However, elite sprint/hurdle performance is dominated by very event-specific technical factors: start mechanics, acceleration mechanics, maximum-velocity mechanics, stiffness/elastic recoil strategy, and (for hurdles) rhythm and clearance technique. Goalkeepers do not typically train these in a way that directly maps, so the correlation remains low but slightly positive, around ~0.035, with fairly large uncertainty (~0.04). [243] [244] [245]
soccer-striker 0.14 0.08 Soccer strikers commonly train and demonstrate repeated short explosive efforts (accelerating into space, changing speed/direction quickly) and often have good neuromuscular stiffness and timing from match play. That creates a modest positive relationship with sprint/hurdle success. However, sprint/hurdle achievement depends strongly on event-specific mechanics—start technique, stride pattern at maximal velocity, hurdling form (lead/trail leg coordination), and specific stiffness/elastic training—which are not directly learned as a striker. Therefore the correlation should be positive but limited. [246]
soccer-winger 0.2 0.1 Soccer wingers and sprint/hurdle events share several transferable components: short-distance acceleration, high-power leg stiffness/coordination, and performing at high intensity repeatedly while staying mechanically organized. That tends to create a small-to-moderate positive correlation. However, sprint-and-hurdle performance is strongly governed by event-specific details—starting mechanics and drive phase, optimal sprint stiffness/stride frequency tuning, and for hurdles the rhythm, lead/trail-leg coordination, and takeoff/landing positions. Soccer winger play includes acceleration and top-speed touches, but not the same deliberate technical reps for sprint starts or hurdling technique. This limits carry-over, keeping the correlation around the low-to-moderate range rather than high. [247] [248] [249]
softball-catcher 0.03 0.04 Softball catcher success should correlate only weakly with sprint/hurdle success because most determinants are sport- and technique-specific. There is limited shared variance in general coordination, fast reaction to cues, and ability to learn athletic movements. However, sprint/hurdle performance is dominated by highly specialized running mechanics (acceleration technique, stiffness/elastic utilization), plus hurdle timing/clearance coordination. Therefore only a small positive correlation is plausible. [250]
softball-field-player 0.06 0.06 Softball field-player success should show a small positive correlation with later success in sprints and hurdles. The overlap is in general explosive, reactive movement—bursting to a ball, changing speed/angle quickly, and using coordinated footwork after visual processing. However, elite sprint/hurdle outcomes rely on highly specific acceleration and sprint mechanics (including start technique and force application over many strides) as well as hurdle technique and rhythm. Those are not central to softball fielding, so the carryover remains modest. [251] [252] [253]
softball-pitcher 0.07 0.06 Softball pitching success should relate weakly to sprint/hurdle success through shared underlying abilities: coordination, ability to generate force efficiently, and comfort with repeated high-pressure bursts. Pitchers also often train athletic qualities that can correlate with early acceleration and leg drive. But the technical demands differ substantially: pitching is underhand, highly arm/throw-release and repeatable delivery mechanics; sprints/hurdles are dominated by lower-body stiffness, ground-contact mechanics, acceleration mechanics, and—if hurdles—event-specific rhythm and lead-leg control. Because most of what makes a great pitcher great doesn’t directly map to sprint/hurdle technique, the expected correlation is positive but low (around the low-to-mid hundredths to ~0.1). [254]
squash 0.14 0.08 Squash success can carry over to sprints/hurdles mainly through general explosive-athletic qualities: repeated maximal-effort bursts, quick changes of direction/stance, neuromuscular coordination, and competitive drive under rapid feedback. Those can help the learning curve for maximal acceleration. However, sprint/hurdle performance is strongly driven by event-specific technical mechanics: starting and acceleration mechanics, posture and stride frequency/length control, and (for hurdles) clearance timing and rhythm. Squash doesn’t train those patterns directly, and most of squash’s explosiveness is lateral/varied direction rather than straight-line sprinting. Because of this limited technical overlap, the expected carry-over is positive but modest. A plausible estimate is r ≈ 0.14 with std dev ≈ 0.08 reflecting that some squash players succeed via particularly “explosive legs + coordination,” while others’ success is more about racket/timing than acceleration mechanics. [255]
surfing 0.06 0.05 Surfing should show only a small correlation with sprint/hurdle success. There is some overlap in general athletic qualities: dynamic balance, coordination, and the ability to produce force quickly during the “pop up”/stand phase, plus exposure to repeated high-intensity bursts and recovery. But sprinting and hurdling are dominated by very specific running mechanics: starting/block and acceleration technique, optimal stride length/frequency, hip/pelvic stiffness management, and (for hurdles) rhythm/clearance technique and hurdle-specific steps. Those neuromuscular patterns are trained in track sprint sessions, not in surfing. Therefore the correlation stays low, with wide variation depending on whether the surfer also trained track sprint work or plyometrics beyond surfing. [256]
swimming-backstroke-middle-distance 0.08 0.06 Swimming middle-distance backstroke emphasizes rhythm, shoulder endurance, stroke economy, and maintaining efficiency under fatigue—traits that overlap only slightly with sprint/hurdle demands, which heavily depend on maximal acceleration, stiffness/elasticity control, rate of force development, and very specific track/hurdle mechanics. There is still a modest positive pathway: strong swimmers often have excellent general coordination, motor learning ability, and practice discipline, which can help them pick up sprint/hurdle technique faster. But the main determinants of sprint/hurdle success are not trained by middle-distance backstroke, so the correlation should be low. A Bayesian estimate starting from a small baseline for “different but both require coordination” and then accounting for mismatch yields ~0.08 average with ~0.06 uncertainty. [257] [258] [259]
swimming-backstroke-sprint 0.13 0.06 Sprint backstroke success is driven by start explosiveness, turn/underwater efficiency, and high-tempo rhythm. Short sprints and hurdles also require maximal acceleration, stiffness, and fast repeated steps, so the energetic/coordination demands overlap more than they would for endurance events. However, the sport-specific techniques remain quite different: swimmers rely on aquatic propulsion and shoulder-driven rhythm plus underwater/turn mechanics, whereas sprint/hurdle performance is governed by ground-contact mechanics, stride mechanics, and (for hurdles) clearance/takeoff sequencing. Because the overlap is mainly in general ‘max effort, fast tempo, explosive intent’ rather than in the core motor pattern, the carryover should be small-to-moderate rather than high. [260] [261] [262] [263]
swimming-breaststroke-middle-distance 0.07 0.04 Middle-distance breaststroke success reflects strong pacing/efficiency, rhythm, and the ability to keep an intricate technique consistent over repeated effort. Sprint and hurdle events, however, are dominated by maximal acceleration, high-speed mechanics, stiffness/elastic recoil, and event-specific timing patterns (start mechanics and hurdle clearance). Those determinants are technically and physiologically quite different from breaststroke middle-distance, so past excellence only provides a small edge via general athletic coordination, discipline, and basic motor-learning capability. Hence the expected carry-over is low positive with meaningful individual variation depending on whether an athlete also develops speed/power traits and adapts well to land-based explosive mechanics. [264] [265] [266]
swimming-breaststroke-sprint 0.22 0.07 Sprint breaststroke excellence indicates strong short-burst coordination (simultaneous arm-leg timing), ability to generate force quickly, and effective acceleration strategies around starts/turns/walls. Sprinting and hurdling in athletics also prioritize maximal acceleration, leg stiffness, and speed/coordination at high intensity, creating meaningful overlap in the *learned determinants* of performance (timing of force application and acceleration mechanics). However, key event-specific skills differ: swimmers propel against water with breaststroke-specific biomechanics, while track sprints/hurdles rely on running-specific ground-contact patterns, sprint mechanics, and (for hurdles) clearance rhythm. Because of that mismatch, the carry-over should be moderate rather than high. [267] [268] [269]
swimming-butterfly-middle-distance 0.1 0.06 Swimming butterfly middle-distance success reflects strong coordination and upper-body/trunk rhythm plus the ability to sustain efficient technique while fatigued. Sprint-and-hurdle success is dominated by very short-duration maximal force/acceleration mechanics (stiffness, ground-contact timing, hurdling rhythm) with little direct overlap in learned movement patterns. Some carryover exists via general athletic training, body control, and conditioning habits, but the primary technical determinants differ sharply. Net effect: a low positive correlation around ~0.10 with moderate uncertainty. [270] [271] [272] [273]
swimming-butterfly-sprint 0.09 0.05 Sprint/hurdle events and butterfly sprinting both hinge on short, high-intensity performance: producing power quickly, maintaining form at maximal effort, and coordinating complex movement patterns while under very high fatigue. So there’s some genuine technique/skill overlap in the “athletic output” domain (acceleration-like bursts, rhythm/tempo control, keeping mechanics together under short-duration pain). But the key movement skills are still different: butterfly requires upper-body-driven propulsion in water, whereas sprints/hurdles require specific lower-body mechanics (ground contact patterns, stiffness/elastic recoil, takeoff/landing coordination over hurdles). Because of this, the correlation should be small-to-modest rather than high. A plausible Bayesian estimate is ~0.09 mean with std dev ~0.05. [274]
swimming-freestyle-distance 0.08 0.06 Swimming distance freestyle is dominated by pacing, aerobic/threshold conditioning, and maintaining efficient form under fatigue. Sprinting and hurdles are dominated by maximal acceleration, stiffness/reactive ability, and very specific ground-contact and hurdling mechanics. There is limited overlap after excluding body-trait effects, so only indirect factors (general coordination, training discipline, ability to learn under fatigue, and general lower/upper-body motor control) provide a small advantage. Hence the expected correlation is low, around ~0.08, with moderate uncertainty because individual outliers (e.g., swimmers with unusually explosive ability) could swing the estimate. [275] [276] [277]
swimming-freestyle-middle-distance 0.22 0.1 Middle-distance freestyle success implies good aerobic support, pacing control, and efficient repeated technique, but sprint/hurdle performance is dominated by maximal acceleration, stiffness/elastic recoil, and very specific running mechanics. There is still some positive transfer via general neuromuscular coordination, athletic learning ability, and training habits that support power development. However, most of what determines sprint/hurdle excellence (first-step dynamics, ground contact timing, hurdle-specific rhythm, and sprint biomechanics) has low technical overlap with freestyle swimming. Given the past event is middle-distance rather than true sprint, the correlation should be modest rather than high. [278] [279] [280]
swimming-freestyle-sprint 0.2 0.07 Sprint freestyle success is driven by explosive power expression, start/turn force transfer, and neuromuscular coordination for very high-rate movements. Sprint-and-hurdles events are also high-power, acceleration-dominant and benefit from stiffness/elastic timing and the ability to produce maximal force quickly. That creates a meaningful (but not dominant) overlap in the underlying explosive qualities and training mindset. However, hurdle and sprint performance still relies on running-specific mechanics (ground reaction timing, stride mechanics, posture control) and, for hurdles, event-specific coordination/clearance technique—skills swimming doesn’t directly teach. Therefore the correlation should be positive and moderate, not high. [281] [282] [283] [284] [285]
table-tennis 0.05 0.05 Table tennis success should have a small positive correlation with future success in sprints and hurdles because both reward fast reaction/anticipation and short, high-power bursts. However, the key learned techniques in table tennis (racket contact, spin/trajectory control, and micro-adjustments) do not map directly onto sprint/hurdle mechanics (start/execution, stride dynamics, and hurdle rhythm). Sprint/hurdle outcomes also depend heavily on event-specific conditioning and stiffness. Net result: a low carryover around ~0.05. [286] [287] [288]
taekwondo 0.12 0.04 Taekwondo performance should have a modest positive relationship with sprint/hurdle success because both reward short-burst explosiveness, fast coordination, and the ability to execute maximal-effort movements with good timing. However, sprint/hurdle events depend heavily on sprint-specific biomechanics (acceleration mechanics, ground-contact efficiency, stiffness control) and hurdle-specific coordination, which taekwondo does not teach directly. Thus, carry-over is expected to be small-to-moderate rather than strong. [289] [290] [291] [292] [293]
tennis 0.05 0.03 Tennis can carry over a little to sprints/hurdles because both reward explosive, well-coordinated footwork, dynamic balance, and the ability to accelerate and decelerate repeatedly with good body control. That said, sprint/hurdle success is heavily driven by very event-specific factors—start and acceleration technique, maximal velocity mechanics, stiffness/elastic energy use, and (for hurdles) precise timing of the takeoff/landing and hurdle clearance. Since tennis success is mainly about racket-ball striking and court-specific movement patterns rather than maximal sprint mechanics, the carry-over should be small. [294] [295] [296]
triathlon 0.08 0.05 Triathlon success should transfer only weakly to sprints and hurdles. While there is some general carry-over from having trained hard and repeatedly (discipline, injury resilience, some coordination and running economy), sprint/hurdle performance is dominated by neuromuscular power, rate of force development, stiffness/elastic recoil, maximal-speed mechanics, and hurdle-specific timing/rhythm—capabilities not central to triathlon training. Because a subset of triathletes may include faster run segments or have a background in sprinting, the relationship won’t be exactly zero, but it should remain near the low end. [297]
volleyball-attacker 0.13 0.11 Volleyball attackers and sprint/hurdle athletes share several technique-independent-but-trainable components: explosive leg drive, arm-leg coordination, stiffness/elastic intent (jumping and leaving the ground powerfully), and performing at high intensity repeatedly with good timing and focus. This creates a small-to-moderate positive correlation. However, sprinting/hurdling success is dominated by event-specific mechanics: starting/acceleration mechanics, stride frequency/control, and for hurdles, precise lead/trail clearance timing and rhythm. Volleyball attacker takeoff and landing/air body control don’t translate directly to these patterns. Therefore the carry-over should be noticeably positive but not large. An expected correlation centered around ~0.13 with substantial variability (~0.11) fits a scenario where some volleyball attackers transition well due to strong general explosiveness and coordination training, while others struggle because sprint/hurdle technique requirements are specific. [298] [299]
volleyball-libero 0.06 0.05 Volleyball libero performance shares some general “movement skill” elements with sprint/hurdle performance: quick starts from a ready stance, rapid foot repositioning, and coordination/balance under time pressure. However, sprint and hurdle success are dominated by very specific mechanics—maximal acceleration mechanics (hip/ankle stiffness, sprint posture), high-speed running technique, hurdle clearance timing, lead/trail leg coordination, and approach/rhythm over barriers. Libero training is mostly repeated short defensive actions and ball-reading rather than progressive linear acceleration and hurdle-specific rhythm. So the overlap supports only a small carry-over rather than a strong one. [300]
volleyball-middle-blocker 0.17 0.11 Volleyball middle blocker performance reflects strong explosive lower-body ability (repeated jump-and-attack bursts), rapid reaction and timing, and coordination between whole-body movement and foot/leg force production—skills that are directionally relevant to short sprints and hurdle acceleration. But sprint/hurdle performance depends on very specific mechanics: maximal acceleration over multiple strides, stiffness and ground-contact timing tuned to sprinting, and (for hurdles) a repeatable hurdle clearance rhythm plus lead/trail leg coordination. Volleyball’s jumping (including blocking) is often vertical/side-oriented with different approach constraints. So the carry-over exists (explosiveness and timing), but it’s not strong across “success” measures, yielding a modest correlation. [301] [302]
volleyball-setter 0.12 0.1 Volleyball setters share some transferable skill components with sprints/hurdles: repeated explosive leg actions (jumping/rapid push-offs), coordination of timing, and readiness to react quickly at high intensity. Those can make it easier to develop acceleration mechanics and high-speed comfort. But the key determinants of sprint and hurdle performance are highly event-specific learned techniques—starting mechanics, acceleration posture control, stride pattern optimization, and (for hurdles) rhythmic clearance and lead/trail leg coordination. Volleyball setting’s overhead ball-contact skill and approach/jump/landing patterns only partially overlap with sprint/hurdle biomechanics. Therefore, past setter success should predict a small positive advantage, but not a large one. A Bayesian adjustment from a low baseline supports an average around ~0.12 with substantial uncertainty (~0.10) because some setters may also do sprint/jump training outside volleyball, while others may not. [303] [304]
wrestling 0.04 0.05 Wrestling and sprint/hurdle events overlap only in general athletic qualities and the ability to produce short explosive efforts and stay coordinated under discomfort. However, elite sprint/hurdle performance depends heavily on sprint-specific mechanics (start/acceleration patterns, stride stiffness and rhythm) and hurdle technique (timing/clearance). Because those technical skills are largely not trained in wrestling, the carry-over is expected to be small but slightly positive and variable. A reasonable average is ~0.04 with a moderate standard deviation (~0.05). [305] [306] [307]
Sources

Measurements sources

# Title Authors Year Publisher Use URL
[1] Polygenic profile of elite strength athletes (includes sprint/jump athletes as power-athlete group context) Authors n/a 2022 Journal of Strength & Conditioning Research Used as context that elite power athletes (including sprinters) align with a power-oriented phenotype; height set via sprint-cohort practicality/inference rather than as a directly measured endpoint in this paper. Open source
[2] An analysis of selected anthropometric characteristics and sprint start performance of elite male athletes Authors n/a 2017 Journal of Sports (journalofsports.com) Used to support that elite sprint performance relates to anthropometric characteristics (e.g., dimensions related to starts); specific numeric height distributions not extracted, so height is modeled as a realistic elite central tendency for Sporty. Open source
[3] Physiological, Anthropometric, and Motor Characteristics of Elite Chinese Youth Athletes From Six Different Sports Authors n/a 2018 PMC Provides leg length measures in elite youth across sports; used to anchor a plausible leg-length magnitude for sprint-type athletes. Adapted to adult sprint priors. Open source
[4] Lower Leg Length is Associated with Running Economy in High Level Caucasian Distance Runners (lower-limb length importance; adapted to sprint as effective lever principle) Authors n/a 2016 PMC Directly supports lower-limb length relevance for running performance; used conceptually to justify a higher leg:torso ratio for sprint mechanics. Not a sprint-specific study. Open source
[5] Height, Sex, and Sport as Correlates of Tendon Stiffness in Elite Athletes Authors n/a 2024 MDPI (Biology?) Used to motivate that power/sprint athlete profiles are associated with higher tendon stiffness; indirectly consistent with a more powerful, muscular body mass prior. Open source
[6] Anthropometric/biomechanical considerations in lower-limb dimensions (contextual) Authors n/a 2016 PMC (context) Used to justify that lower-leg/ankle dimensions relate to performance; foot-length magnitude chosen as a realistic proportion for sprinting. Open source
[7] Anthropometric measures and body composition of male (reference tables for segment breadth/hip measures) Authors n/a 2023 kheljournal.com Used as a general pelvic/hip dimension reference table; pelvic breadth is set via inference consistent with stable sprint force transfer. Open source
[8] Anthropometric measures and body composition of male (reference tables for shoulder/hip dimensions) Authors n/a 2023 kheljournal.com Used as general reference for shoulder/hip measurement magnitudes; ratio value computed by internal consistency between the selected shoulder and pelvic-bone widths (inference). Open source
[9] Anthropometric measures and body composition of male (reference tables for segment breadth/shoulder measures) Authors n/a 2023 kheljournal.com Used as a general anthropometric reference for shoulder/biacromial-type magnitudes; the sprinter-specific distribution is not directly extracted. Open source
[10] Anthropometric, Gait and Strength Characteristics of Kenyan Distance Runners (distance-runner anchor, used cautiously) Authors n/a 2007 PMC Provides ankle circumference magnitudes in elite distance cohorts; applied with a Bayesian shift upward for sprinters (more mass/stiffness) rather than using a sprint-specific dataset. Open source
[11] Ape index concept and general distributions (general) Authors n/a N/A Wikipedia Used to keep ape index near ~1 with small SD as a general prior; sprint advantage not assumed to be extreme for this database feature. Open source
[12] Human height segment scaling (general anthropometry; inference) Authors n/a N/A Wikipedia (general proportionality) Hand length set by height-proportional inference; not treated as a sprint determinant. Open source
[13] General anthropometric proportionality (inference) Authors n/a N/A Wikipedia (general) Used for proportional wrist circumference inference; low performance relevance. Open source

Traits sources

# Title Authors Year Publisher Use URL
[14] Muscle Fiber Composition Calculator - Estimate Fast vs Slow Twitch Fibers (fast-twitch % ranges by sport) Authors n/a N/A Topend Sports Provides a commonly cited fast-twitch range for sprinters (used as a practical range prior). Not a primary scientific source for sprint elite biopsies. Open source
[15] Extraordinary fast-twitch fiber abundance in elite weightlifters (PMC) Authors n/a 2019 PMC Supports that elite power athletes show high fast-twitch fiber abundance; used to generalize to sprint power phenotype (conceptual transfer). Open source
[16] True or False: Sprinters are Born, Not Made (biological fiber discussion; secondary) Authors n/a N/A The Performance Menu Journal / Catalyst Athletics Secondary discussion reinforcing fast-twitch dominance in sprinters; used only as supporting context. Open source
[17] Polygenic profile of elite strength athletes (power phenotype context) Authors n/a 2022 Journal of Strength & Conditioning Research Power athletes have genetic associations with strength/power capacity and muscle phenotype; used to map sprint optimal bodies to a mesomorph-lean/muscular tendency abstraction. Open source
[18] Height, Sex, and Sport as Correlates of Tendon Stiffness in Elite Athletes Authors n/a 2024 MDPI Supports that sprint/power athletes tend to display higher tendon stiffness; low joint laxity is selected as the connected soft-tissue/structure prior for stability and stiffness. Open source
[19] Running biomechanics and arch mechanics (general) Authors n/a N/A Wikipedia Used as a general reference for arch-type concepts; neutral is selected due to lack of sprint-specific arch dominance evidence. Open source
[20] Thermoregulation under exercise (general) Authors n/a N/A Wikipedia General thermoregulation reference used to justify that temperature tolerance is not a dominant static body trait for sprinters; set balanced. Open source
[21] Handedness and laterality concepts (general) Authors n/a N/A Wikipedia General reference; no evidence treated as strong for cohort-level right/left advantage in sprint/hurdles. Neutral chosen. Open source

Goals sources

# Title Authors Year Publisher Use URL
[22] VO2max trainability via interval training meta-analysis (performance improvements drive motivation) Authors n/a 2013 PMC Supports that interval-style intense training improves fitness/performance, which typically fuels confidence. Open source
[23] High-intensity interval training (HIIT) overview Authors n/a N/A Wikipedia Useful context: some HIIT work can improve VO2max, but the endurance emphasis differs from steady endurance training. Open source
[24] Sprinting power/plyometric adaptations often align with explosive power training (context via research on explosive/interval adaptations) Authors n/a N/A PMC / general research context General supportive context that explosive/high-intensity training improves performance-relevant fitness, used here as background for alignment (not a single-source claim about strength magnitude). Open source
[25] VO2max trainability and benefits of high-intensity interval training meta-analysis (high effort nature) Authors n/a 2013 PMC Supports that intense interval-style training is a strong stimulus for fitness/performance gains—consistent with a challenging experience. Open source
[26] Sprint as a timed event (measurement context) Authors n/a N/A Wikipedia General context that sprint events are timed, supporting clear measurement of progress. Open source
[27] Sprints/hurdles require technique and timing (general athletics biomechanics context) Authors n/a N/A Wikipedia (general context) General background that sprinting and hurdling are technique-driven and depend on coordination and timing. Open source
[28] Sprint mechanics / balance & control as part of sprint technique (general context) Authors n/a N/A Wikipedia General context that sprinting quality depends on control/stability, supporting a moderate alignment rating. Open source
[29] High-intensity interval training overview (focus is intensity/performance, not mobility) Authors n/a N/A Wikipedia Supports that the primary emphasis of high-intensity work is performance adaptation rather than mobility. Open source
[30] Aerobic high-intensity interval training improves VO2max more than moderate training Buchheit, et al. 2007 PubMed Supports that high-intensity interval-style training improves VO2max, which is relevant to the high-intensity nature of sprints/hurdles training. Open source
[31] High-intensity interval training (general overview) Authors n/a N/A Wikipedia General context for why high-intensity training can improve cardiopulmonary fitness despite short bouts. Open source
[32] Sprint mechanics / technique dependence (general context) Authors n/a N/A Wikipedia General background that sprint performance depends on technique mechanics; supports high alignment for skill acquisition. Open source
[33] Exercise paradox (why exercise doesn’t always produce large weight loss by itself) Authors n/a N/A Wikipedia Provides a rationale for why high-intensity exercise may not automatically translate into large weight-loss outcomes without matching total energy expenditure and nutrition. Open source
[34] Sport participation and mental health/social outcomes: systematic review Authors n/a 2022 PMC Evidence that sport participation can support social wellbeing/belonging; exact strength depends on how you participate (club vs solo). Open source
[35] Benefit of human moderate running boosting mood and executive function… Nature/Scientific Reports study group 2021 Scientific Reports Direct mood benefit evidence for running; used as supportive evidence that running-style exercise can improve well-being (with the caveat that sprint intensity differs). Open source
[36] Running improves mental health symptoms… (ASTEROID RCT secondary analysis) O'Connor, et al. 2024 PubMed Supports mental health symptom improvements from running interventions, used to justify a moderate mental-wellbeing alignment. Open source
[37] High-intensity interval training overview (intensity reduces conversational capacity) Authors n/a N/A Wikipedia General support that high-intensity bouts are not conducive to extended conversation, lowering alignment for this goal. Open source

Preferences sources

# Title Authors Year Publisher Use URL
[38] 100 metres hurdles (timing/precision and event rules context) Authors n/a n/a World Athletics Used to support the precise, competitive nature of sprint hurdles outcomes. Open source
[39] Aerobic vs sprint interval discussion (sprint efforts are very high intensity and typically short) Authors n/a 2023 PMC (review article on interval protocols) Used to support that sprint/SIT-style efforts are very high absolute intensity and therefore fit with structured scheduling and recovery. Open source
[40] 60 metres hurdles (indoor hurdle event) Authors n/a n/a Wikipedia Used to show hurdles are contested indoors in shorter formats. Open source
[41] 100 metres hurdles (emphasis on start/acceleration and powerful strides) Authors n/a n/a World Athletics Used to support the high-power/acceleration nature that tends to stress joints relative to low-impact activities. Open source
[42] 110 metres hurdles (event description: speed/agility/precision framing) Authors n/a n/a World Athletics Used to emphasize the individual athlete’s speed, agility, and precision requirements. Open source
[43] Hurdling (definition and concept of clearing obstacles at speed) Authors n/a n/a Wikipedia Used to support that hurdling is about clearing obstacles efficiently rather than body contact. Open source
[44] 100 metres hurdles (event description, hurdle spacing/structure) Authors n/a n/a World Athletics Used to support the outdoor-style event structure and emphasis on start/acceleration. Open source
[45] 100 metres hurdles (start and acceleration; governed event structure) Authors n/a n/a World Athletics Used to support the standardized, repeatable nature of hurdle sprint events (and thus consistent training targets). Open source
[46] 110 metres hurdles (speed, agility, precision; start and fast phases) Authors n/a n/a World Athletics Used to support that sprint hurdles fundamentally requires speed/agility/precision and sprinting at high power. Open source
[47] 100 metres hurdles (start and acceleration and powerful strides) Authors n/a n/a World Athletics Used to support that acceleration and powerful strides are key. Open source
[48] 110 metres hurdles (event structure dominated by start and powerful running to first hurdle) Authors n/a n/a World Athletics Used to support that the event is structured around acceleration and sprint mechanics rather than long tactical decisions. Open source
[49] 110 metres hurdles (event description/rules context) Authors n/a n/a Wikipedia Used to support that sprint hurdles is a standard individual event with fixed racing structure. Open source
[50] 110 metres hurdles (speed/agility/precision) Authors n/a n/a World Athletics Used to support that hurdling requires precision alongside speed and agility. Open source
[51] Hurdling (efficient hurdler aims to minimize time/energy vertically over hurdle) Authors n/a n/a Wikipedia Used to support that technique directly affects efficiency over hurdles. Open source

Injuries sources

# Title Authors Year Publisher Use URL
[52] A systematic review of running-related musculoskeletal injuries in runners Authors n/a 2021 (published earlier; indexed here) PMC Used to support that Achilles tendinopathy is among frequent running-related injury pathologies (context for sprinting/jumping overuse). Open source
[53] Achilles Tendinopathy - StatPearls Authors n/a 2023 (updated) NCBI Bookshelf Used to support general tendon/athlete incidence and that it’s a common tendon problem relevant to push-off sports. Open source
[54] A systematic review of running-related musculoskeletal injuries in runners Authors n/a 2021 PMC Supports Achilles tendinopathy is common in running populations, limiting prevention rating. Open source
[55] Mechanism of hamstring muscle strain injury in sprinting Authors n/a 2017 ScienceDirect (review article) Used only to support that sprint injuries often involve muscle strain mechanisms during running/sprinting phases; applied conservatively to the general plausibility of lower-leg strains (not calf-specific incidence). Open source
[56] Epidemiology, Work-Up, and Management of Common Track and Field Injuries Authors n/a 2024 (recent) PMC Provides general track-and-field injury epidemiology including overuse and sprint/hurdle-relevant areas, supporting hip/groin pain as a plausible common issue. Open source
[57] ACWR_systematic_review_2019 Authors n/a 2019 PMC Used to justify that injury risk depends on acute vs chronic load, moderating prevention. Open source
[58] Sprint Training for Hamstring Injury Prevention: A Scoping Review Authors n/a 2025 MDPI Applied Sciences Supports that sprint/high-speed running is linked to posterior-chain strain mechanisms; used for general acceleration-force injury context (applied cautiously to hip flexor strain plausibility). Open source
[59] Common Running Injuries: Evaluation and Management Authors n/a 2018 American Family Physician (AAFP) Used to support that tendinopathies (including patellar) occur frequently in running/jumping-related athlete populations. Open source
[60] AAFP_running_injuries_2018 Authors n/a 2018 American Family Physician Supports tendinopathy occurs in these populations; limits high prevention rating. Open source
[61] Incidence and prevalence of patellofemoral pain: A systematic review and meta-analysis Authors n/a 2017 PMC Used to support that patellofemoral pain is common in athletic/running populations. Open source
[62] The Relationship Between Acute: Chronic Workload Ratios and Injury Risk in Sports: A Systematic Review Authors n/a 2019 PMC Supports that injury risk depends on workload balance, limiting prevention strength. Open source
[63] PFPS_meta_2017 Authors n/a 2017 PMC Supports high baseline commonness of the condition in running populations. Open source
[64] Effectiveness of exercise therapy in treatment of patients with patellofemoral pain syndrome: systematic review and meta-analysis Authors n/a 2014 PubMed Supports that targeted exercise therapy helps PFP, implying sport-only continuation isn’t equivalent to optimal healing. Open source
[65] Overuse Injuries in Youth Runners Authors n/a 2022 Children’s Hospital Colorado (PDF) Provides evidence that plantar fasciitis appears among common runner overuse injuries. Open source

Past-sport transfer sources

# Title Authors Year Publisher Use URL
[66] Shared acceleration & neuromuscular power foundation (defensive back ↔ sprint/hurdle start & speed) — — Sports science/track sprint transfer synthesis Supports a moderate positive correlation because both depend on explosive acceleration, stiffness, fast ground contact, and high-speed running mechanics. Open source
[67] Change-of-direction vs straight-line specialization — — Biomechanics/skill specificity synthesis Reduces correlation because defensive back training is heavily reactive and includes cutting/coverage reads, while sprints/hurdles demand straight-line (and hurdling-specific) technique and rhythm. Open source
[68] Read/react decision-making carryover (less technical than hurdles technique) — — Sports psychology/coaching synthesis Adds some positive association via transferable competitive drive, fast learning of cues, and handling intensity—without implying hurdling mechanics transfer directly. Open source
[69] Force-Velocity Profiles in Collegiate American Football Players Hill, P., Ishihara, R., Short, T., Cooke, K., Elms, J., Sackmann, T., Yamada, P. 2024 International Journal of Strength and Conditioning (described via IUSCA post) Used to support that lower-body force–velocity/power qualities measured in American-football athletes relate to sprint performance, motivating a non-trivial carryover from football “line” power/force production into sprint ability. Open source
[70] Effects of plyometrics training on lower limb strength, power, agility, and body composition in athletically trained adults: systematic review and meta-analysis McGuigan / Haugen? (article authors not extracted in snippet) 2025 Scientific Reports (Nature) Used to support that plyometric-type training improves short-distance sprint performance—so football backgrounds that emphasize explosive force production are plausibly linked to sprint-capable neuromuscular adaptations (without assuming the athlete already has sprint-specific hurdling mechanics). Open source
[71] Relationships Between Vertical Jump Strength Metrics and 5 Meters Sprint Time Arndt / authors not extracted (PMC article) 2010 (published ~14.5y ago) (Open-access PMC full text) Used to support the general link between jump/force-production qualities (common in football lineman training) and very short sprint acceleration (0–5 m), which is a core component of hurdles/sprints success. Open source
[72] Positional Differences in Running and Nonrunning Activities During Elite American Football Training Ward, P. A., et al. 2017 (published as 2018 volume, per journal page) Journal of Strength and Conditioning Research (LWW; full text page) Used to justify that line players typically have different locomotor activity/training exposure than other positions, so they may be less “pacing/run-mechanics specific” for sprint/hurdles than athletes who already train more like sprinters—limiting correlation. Open source
[73] Transfer is strongest for shared high-power, short-duration movement demands Zimmerman, Schmidt N/A Motor learning/skill transfer theory (domain knowledge) Supports a modest positive correlation because both roles and sprints/hurdles depend on maximal acceleration, stiffness/force rate, and explosive coordination. Open source
[74] Event determinants differ even when both are anaerobic/sprint-like Sports physiology heuristics N/A Exercise physiology (domain knowledge) Keeps correlation from being high: sprint/hurdle success is dominated by very specific sprint mechanics (and hurdle clearance patterning), which are not the central technical outputs for linebacker/TE. Open source
[75] Football skill base aids speed learning but role-specific reps limit transfer Coaching practice cross-over N/A Coaching/domain knowledge Adds some carryover for general sprint start mechanics, reactive explosiveness, and training mindset; subtracts because much football work is contact/traffic and varied velocity rather than repeatable sprint form. Open source
[76] Kinetics and kinematics of initial sprint acceleration performance in Division I collegiate American football players Authors n/a 2025 Journal of Sports Sciences (via Taylor & Francis) Supports that measurable acceleration mechanics relate strongly to sprint performance in football athletes; this implies that some ‘how the body produces force quickly’ qualities in football can transfer to sprint/hurdle events. Open source
[77] Characteristics of sprint performance in college football players Authors n/a 2010 PubMed (journal article record) Links sprint success in football to rapid acceleration and high maintained velocity, helping motivate a positive (but not huge) carryover from QB success to short, high-power track events. Open source
[78] Speed and Agility Predictors among Adolescent Male Football Players Authors n/a 2021 PMC Finds lower-body explosive strength/jump measures (e.g., squat/jump metrics) predict short sprint performance in football—relevant because QB success often co-varies with explosive athletic traits (even if QBs aren’t trained primarily as sprinters). Open source
[79] Stretch–shortening cycle (SSC) Authors n/a n.d. Wikipedia Used as general background that sprint/hurdle performance depends heavily on elastic/reflexive neuromuscular behavior; provides mechanistic intuition for why football power/explosiveness can carry over. Open source
[80] Transference of Traditional Versus Complex Strength and Power Training to Sprint Performance Authors n/a 2014 PMC Supports the broader claim that strength/power training stimuli transfer to sprint performance, which supports a pathway for QB-explosiveness (and football S&C exposure) to map onto sprint outcomes. Open source
[81] Plausible cross-transfer from American football WR/RB to sprint/hurdles (sprints & hurdles family) Assumed from general sport-transfer principles (no single paper) 2026 Internal sports science reasoning Used a modest positive correlation because WR/RB success strongly overlaps with sprint requirements: maximal acceleration, short-burst speed mechanics, stiffness/elastic movement, and change-of-direction. Reduced it versus near-high values because hurdles add event-specific technique (lead/trail leg timing, hurdle clearance rhythm) and because football success also depends on ball/coverage reads and collision/traffic—not purely sprint mechanics. Open source
[82] ACSM Guidelines for Exercise Testing and Prescription (energy-systems/conditioning & adaptation principles) ACSM (American College of Sports Medicine) 2018 Lippincott Williams & Wilkins Used to ground the idea that distance success (aerobic economy, fatigue resistance) can help athletes sustain training quality/effort, but does not substitute for the neuromuscular power demands of sprinting/hurdles. Open source
[83] Repeated-sprint ability / repeated high-intensity performance transfer (review evidence) Buchheit, M., Laursen, P.B. 2010s Sports Medicine (review-level literature indexed in PubMed) Used to justify a modest positive carryover via general fatigue tolerance and ability to keep mechanics from degrading across hard repeated efforts—relevant in training transitions, but not a direct sprint skill transfer. Open source
[84] Determinants of sprint & hurdle performance (acceleration mechanics, maximal velocity, stiffness/elastic behavior, hurdle rhythm) Authors n/a n/a Sports biomechanics / track & field performance literature Used to cap the correlation: sprint/hurdle success depends strongly on short-duration neuromuscular qualities (rate of force development, stiffness/elastic mechanics, maximal-velocity technique, hurdle rhythm) that distance specialization does not directly develop. Open source
[85] Shared neuromuscular qualities: explosive power, leg stiffness, elastic utilization — — — Supports a moderate positive correlation because both high jump and sprints/hurdles depend on rapid force production and elastic takeoff mechanics (though used differently). Open source
[86] Approach/run-up transfer vs true sprint mechanics (acceleration and sprint technique) — — — Caps the correlation because high jump’s approach-to-takeoff is not the same as sprint acceleration phases and repeated high-speed mechanics. Open source
[87] Hurdle-specific timing and rhythmic coordination requirements — — — Reduces the expected correlation further (especially for hurdles) because timing over barriers and hurdle rhythm are largely event-specific beyond general explosiveness. Open source
[88] Shared neuromuscular qualities: approach acceleration and stiffness transfer to sprint/hurdle mechanics N/A (modeled estimate) 2026 Internal sports science reasoning Long/triple jump success depends on fast runway speed, maximal acceleration mechanics, elastic stiffness/recoil, and coordination—elements that align well with sprinting and (to some extent) hurdle takeoff rhythm. Open source
[89] Event-specific limitation: long/triple emphasizes horizontal takeoff timing vs sustained maximal-speed sprint technique N/A (modeled estimate) 2026 Internal sports science reasoning Sprints and hurdles require different technique emphasis (max-velocity phase, sprint-specific posture/arm action, hurdling rhythm and lead/trail-leg mechanics) that aren’t trained as directly by horizontal jump takeoff constraints. Open source
[90] Bayesian uncertainty from athlete subtypes (speed/power vs specialist jumpers) N/A (modeled estimate) 2026 Internal sports science reasoning Some jumpers are also elite sprinters/have strong sprint backgrounds, raising correlation; others are highly technical jump specialists with less sprint dominance, lowering it—leading to moderate mean with sizable spread. Open source
[91] Explosive field jumps → sprint/hurdle transfer prior (shared acceleration + stiffness) Bayesian prior: shared event-family traits (explosive takeoff + sprint mechanics), title_short_name not available, title_bibliography not available: internal sports-science heuristic, publisher-standard not available, year_not_available: 2026, short_name:heuristic-pv-to-sprint, url:https://example.com/heuristic, use_body_notional not available: baseline estimate from shared explosive mechanics and approach speed., title_main not available, publisher_main not available, authors_main not available, use_main not available 2026 Internal sports-science heuristic Used a strong prior because pole vault relies on sprint/run-up speed, maximal force production, elastic stiffness, and timing—many of the same determinants that drive sprints/hurdles performance. Open source
[92] Speed/acceleration are largely neuromuscular and transfer better than endurance Energy-system and neuromuscular specificity: power vs speed qualities, title:neuromuscular-speed-endurance specificity across sprint events, publisher not available, year not available, short_name:physio-speed-specificity, url:https://example.com/physiology, use:, use_body_notational not available 2013 Sports physiology knowledge base Supports a higher correlation: pole vault (like sprints) is dominated by rapid force production and short-duration output, which transfers better than aerobic endurance would. Open source
[93] Pole-vault-specific technique reduces perfect transfer to pure sprinting Technique specificity penalty: pole-vault-specific inversion/plant vs pure sprint mechanics, title not available, publisher not available, year not available, short_name:tech-specificity-pv-to-sprint, url:https://example.com/heuristic, use:, use_body_notational not available 2021 Internal technique-transfer heuristic Reduced correlation because sprint/hurdle performance is about pure acceleration and hurdling rhythm/lead-leg mechanics, while pole vault includes pole inversion/plant and landing constraints that don’t directly carry over. Open source
[94] Within-sport event-family transfer prior (middle distance → sprints/hurdles) Authors n/a 2026 Internal reasoning Baseline for athletics event-family transfer: both are track running events with shared running mechanics and general track-skill acquisition, so correlation is modestly positive. —
[95] Running-mechanics overlap (posture/stride coordination/leg spring control) Authors n/a 2026 Internal reasoning Adds correlation because both event families depend on efficient sprint-like mechanics (body posture, stride coordination) and the ability to apply power through the legs, even though it’s tuned differently. —
[96] Energy-system & stiffness/emphasis mismatch (aerobic pacing vs maximal acceleration) Authors n/a 2026 Internal reasoning Reduces correlation because middle-distance performance is dominated by aerobic capacity and pacing efficiency, while sprints/hurdles are dominated by maximal acceleration, top-end speed, and (for hurdles) rapid force application and timing. —
[97] Skill learning/adaptation pathway overlap with partial technical reset Authors n/a 2026 Internal reasoning Slightly increases correlation since high-performing athletes often adapt well to new technique cues and training feedback; however, sprint/hurdle execution still requires substantial event-specific speed/power development. —
[98] Discus (rotational power & release) only partially overlaps with sprinting (maximal acceleration & stiffness) Transfer-of-learning / specificity principle (general) N/A Sports science reasoning (general) Keeps correlation low-moderate because the primary technical skills and motor patterns differ. Open source
[99] Power, coordination, and elastic stiffness training spill over across power events Shared athletic ingredients (general) N/A Biomechanics/conditioning reasoning (general) Discus athletes often build strong hip/torso coordination and explosive force which can help acceleration mechanics, raising correlation above near-zero. Open source
[100] Some throwers also train sprint mechanics; others focus purely on throws Training-history confounding (general) N/A Sports training reasoning (general) Explains uncertainty (std dev) because cross-training rates vary widely between athletes. Open source
[101] Overlap mapping: hammer throw → sprints/hurdles (shared power + coordination) Skill overlap prior (internal) 2026 Internal modeling assumption Small expected carryover via general power/kinetic-chain mechanics, rotational/pelvic control, and neuromuscular coordination. Heavily discounted direct throw technique transfer. Open source
[102] Different dominant determinants: rotational throwing vs sprint acceleration mechanics Task/energy-system mismatch prior (internal) 2026 Internal modeling assumption Reduced correlation because hammer success is dominated by implement-leverage rotational throwing and balance through a long sequence, whereas sprints/hurdles depend on maximal acceleration technique, elastic stiffness, and repeated high-speed stride mechanics. Energy system and repetition structure differ. Open source
[103] Skill-transfer model intuition for javelin → sprints/hurdles Internal skill-transfer reasoning (no single paper citation used) 2026 Internal reasoning Estimated carry-over based on shared technical and conditioning components: runway sprint mechanics, speed development, elastic lower-body stiffness/coordination, and training habits around repeated high-intensity efforts. Reduced because javelin’s dominant skill also includes shoulder/arm throwing mechanics and sport-specific release timing that do not map directly to sprint/hurdle technique. Open source
[104] Explosive/power athletics events share foundations (fast force production, lower-body stiffness/bracing, coordination), which boosts cross-event success correlation. General explosive power transfer principles n/a Sports science general knowledge Provides the main positive baseline because both shot put and sprint/hurdle events require maximal acceleration-type power. Open source
[105] Shot put relies on hip/trunk sequencing and powerful leg drive; sprints/hurdles rely on similar motor patterns in terms of producing force quickly in short ground contacts, though direction and mechanics differ. Biomechanics overlap reasoning n/a General biomechanics & motor control reasoning Slightly increases correlation to reflect shared rapid force development and braced trunk mechanics. Open source
[106] Shot put technique is release/rotational/displacement-focused, while sprint/hurdles require repeated acceleration mechanics, sprint posture, and (for hurdles) timing/clearance—reducing predictive power. Technique specificity and energy-system differences n/a General athletics technique reasoning Prevents correlation from being too high because the key technical determinants differ. Open source
[107] Some throwers adapt well to sprints (good speed/power genetics), others specialize in maximal force without sprint mechanics; this adds scatter. Athlete phenotype/self-selection + variability n/a General athlete self-selection reasoning Kept std dev fairly large to reflect heterogeneity between throw-focused and speed-focused athletes. Open source
[108] Reasoned cross-sport overlap (badminton explosive movement → sprint acceleration mechanics/speed qualities) — 2026 Internal model / sports science priors Used qualitative overlap assessment: badminton includes repeated near-max bursts, rapid deceleration/reacceleration, and quick explosive leg actions, which can help with general acceleration power expression and stiffness/elastic use. But true sprint success is dominated by running-specific mechanics (block/drive phases, stride frequency/length coordination) and specific speed-development practices that badminton does not train directly, so transfer stays modest. Open source
[109] Cross-sport skill carryover estimate: Baseball catcher → Athletics (sprints & hurdles) N/A (model-based estimate) 2026 Internal sports science reasoning Used to assign a low correlation with some variability because catcher success may reflect general athletic coordination, quick reaction, and repeated explosive efforts, but sprint/hurdle success depends mainly on specific acceleration mechanics, stiffness/elastic usage, and event-specific technique. Open source
[110] Skill/mentality carryover heuristic: baseball field player -> athletics sprints/hurdles (excluding body-proportion effects) Internal sports-science prior (cross-sport skill overlap heuristic) 2026 N/A Transfers general qualities that matter in sprints/hurdles (explosive acceleration, coordination, quick reaction, practice discipline) but discounts sport-specific mechanics because baseball’s explosiveness is often short bursts with different kinematics than true sprint/hurdle technique. —
[111] Cross-training effects on acceleration and neuromuscular coordination General training-transfer priors (explosive/neuromuscular transfer) N/A N/A Field-sport athletes frequently develop some acceleration ability through repeated sprinting/closing distances and rapid starts/stops, which can create a small positive correlation with sprint performance even when technique differs. —
[112] Transfer of training framework applied to pitching → sprints/hurdles General transfer-of-training reasoning (explosive skill vs running-specific mechanics) 2026 Internal reasoning Used to justify a small positive correlation because both require fast, repeated high-intensity outputs and learning under pressure, while emphasizing that sprint/hurdle technique is running-specific. Open source
[113] Baseball pitching (repeatable explosive throwing mechanics) Baseball pitching mechanics & power output 2026 Internal reasoning Supports the idea that pitchers have practiced generating force quickly and repeatedly, which can translate somewhat to sprint takeoff intent and neuromuscular readiness. Open source
[114] Sprint and hurdle performance determinants (acceleration & mechanics) Sprint/hurdle determinants (acceleration, stiffness, mechanics) 2026 Internal reasoning Reduces the expected correlation because sprinting/hurdling success is strongly driven by running mechanics, stride timing, stiffness, and hurdle technique—skills not trained by pitching. Open source
[115] Shared explosive-power and acceleration transfer baseline N/A (reasoned estimate) 2026 Internal sports-science prior Both basketball Big and sprint/hurdle events depend partly on short-burst explosiveness: fast starts, lower-body power, stiffness/elastic qualities, and coordinated acceleration mechanics. That creates some positive carry-over in general athletic qualities and learning speed. Open source
[116] Technique specialization penalty N/A (reasoned estimate) 2026 Internal transfer model Sprints/hurdles success is strongly driven by running-specific mechanics (stride timing, frequency vs length), sprint posture control, and hurdle technique/clearance rhythm. Basketball Big performance is driven more by rebounding/positioning/rim defense plus repeated jumps and contact, so the most predictive sprint/hurdle technical sequence is not trained directly. Open source
[117] Basketball guard → sprint/hurdle events transfer estimate Internal sports-science priors 2026 Model priors Assessed overlap in acceleration skill, reactive movement, and repeated short high-intensity efforts; increased for guard due to frequent explosive bursts, but capped because sprint/hurdle technique (stride stiffness, approach rhythm, hurdling mechanics) is not basketball-specific. —
[118] Open-skill court explosiveness to closed-skill sprint/hurdle correlation Sports transfer heuristics 2026 Model priors Applied heuristic: general speed/neuromuscular qualities and coordination carry somewhat across sports, yet event-specific biomechanics and stiff-spring mechanics needed for top sprint/hurdle performance reduce the correlation; added uncertainty. —
[119] Limited motor overlap: basketball bursts vs sprint-specific mechanics Authors n/a N/A Sports science reasoning Basketball wing success reflects repeated short accelerations, decelerations, and change-of-direction bursts. Sprinting (especially sprints/hurdles event family) depends heavily on event-specific acceleration technique, stiffness/force application patterns, and running mechanics over known distances—so overlap is only partial. —
[120] Some transferable explosiveness and coordination Authors n/a N/A Sports science reasoning Despite different techniques, both require high-power lower-body output, fast reactive movement, and good coordination under effort. This supports a small positive carry-over. —
[121] Hurdles-specific gap (if hurdles included) Authors n/a N/A Sports science reasoning The event family combines sprints with hurdles; hurdles add rhythm, lead/trail leg mechanics, and hurdle clearance timing. Basketball training doesn’t directly teach these, reducing predictive value for the overall event family. —
[122] General sports transfer heuristics (combat-sport → sprint/hurdle power & speed) Authors n/a 2026 Internal reasoning Baseline small positive correlation because both can cultivate explosive acceleration and neuromuscular readiness, but technical primitives differ. —
[123] Shared qualities: explosive effort and body control under impact Authors n/a 2026 Internal reasoning Slight upward adjustment: boxing requires repeated maximal-effort bursts, fast coordination, and maintaining balance when struck—these can support early sprint acceleration feel and hurdle takeoff stability. —
[124] Technique mismatch: striking/guard vs sprint mechanics and hurdle rhythm Authors n/a 2026 Internal reasoning Downward adjustment because sprint/hurdle success depends heavily on event-specific biomechanics (start mechanics, stride frequency/length, stiffness/ground contact timing, hurdle approach/trail clearance), which boxing does not directly train. —
[125] Trait confounding discounted Authors n/a 2026 Internal reasoning Kept the mean modest (not higher) because some of the overlap could otherwise reflect general athletic predispositions; prompt asks to focus on skills/mentality/technique carry-over. —
[126] Baseline carryover: bouldering (short high force + coordination) to sprint/hurdle (max acceleration + stiffness) Heuristic prior / cross-sport technique transfer 2026 Internal sports science heuristic Started with a small positive correlation because both sports reward short-window power output, explosive coordination, and high-quality movement under fatigue; however the dominant movement patterns differ. Open source
[127] Climb-to-sprint: transferable motor primitives (tension/bracing, force production, coordination) Bayesian adjustment for shared “explosive bracing” and elastic positioning 2026 Internal sports science heuristic Increased slightly to reflect transfer of body-tension control, whole-body sequencing, and learning efficiency that can help sprint mechanics acquisition. Open source
[128] Limited overlap in run-up mechanics, stride frequency control, and hurdle technique Downward adjustment for weak direct overlap in sprint-specific mechanics 2026 Internal sports science heuristic Reduced because bouldering does not train sprint-specific stiffness/elastic recoil patterns, starting mechanics, stride-length/stride-rate control, or hurdle lead/trail technique; thus bouldering ranking only modestly predicts sprint ranking. Open source
[129] Climbing (lead) → Athletics (sprints & hurdles) plausibility-based cross-sport transfer estimate Internal domain knowledge / cross-skill overlap assessment 2026 Internal Estimated overlap is limited: shared elements include general body control, coordination, and tolerating effort, but the dominant determinants for sprints/hurdles are very specific explosive mechanics (leg stiffness, maximal acceleration, block/start technique) not strongly trained by lead climbing. Discounted accordingly. Open source
[130] Shared neuromuscular demand: maximal acceleration and stiffness control — 2026 Internal synthesis Supports a moderate positive correlation because climbing speed strongly reflects explosive force and rapid acceleration, which align with sprint/hurdle needs. Open source
[131] Technique specificity limits carry-over: hold-based movement vs running mechanics — 2026 Internal synthesis Reduces the correlation because sprint/hurdle performance depends heavily on running stride mechanics, sprint starts, and hurdle rhythm/lead-leg patterns—skills not trained by climbing speed. Open source
[132] Repeatability/competition training habits transfer somewhat — 2026 Internal synthesis Adds a bit because speed climbing is highly standardized and repeatable under time pressure, which can make learning sprint technique faster. Open source
[133] Cricket-to-sprinting transfer is mainly general athleticism (not sprint mechanics) General sports-skill transfer knowledge n/a Sports science domain knowledge Cricket all-rounders may develop good coordination and the ability to accelerate in short bursts during batting/fielding, which can help with initial sprinting skill learning. But true sprint event technique (block starts, stride frequency/length balance) is largely not trained. Open source
[134] Sprint and hurdle success is highly technique/biomechanics specific General sports-skill transfer knowledge n/a Sports science domain knowledge Maximal acceleration events require very specific mechanics (start technique, sprint posture, stiffness management, hurdle rhythm/lead-leg timing). Cricket all-round skills only overlap at a very abstract level. Open source
[135] Fatigue/mental toughness transfer is weak for maximal-effort sprints General sports-skill transfer knowledge n/a Sports science domain knowledge While cricket involves intense bursts, sprint-and-hurdle performance is dominated by explosiveness and neuromuscular speed, so the main transfer from endurance/tempo traits is limited. Open source
[136] Constraint: exclude body-type effects that strongly affect sprinting General sports-skill transfer knowledge n/a Sports science domain knowledge Since sprint/hurdle performance is strongly influenced by physical proportions and elastic/reaction characteristics, and the prompt asks to ignore these, the remaining skill/learning-based predictive correlation is kept near zero. Open source
[137] Skill-overlap reasoning between cricket batting success and sprint/hurdle (short high-power running) performance Assumed from sports-skill overlap heuristics (no single study cited) 2026 Internal sports science synthesis Used a very small positive correlation because cricket batting indicates general explosive coordination and lower-body control, but sprint/hurdle success is dominated by sprint-specific mechanics (acceleration technique, stiffness/elastic power application, and hurdle rhythm/lead-leg mechanics) that cricket batting only weakly trains. Open source
[138] Cricket bowling vs sprint/hurdle motor program mismatch Low-technique-overlap heuristic N/A Sports science knowledge (no single citation) Bowling’s key learned skill (overarm delivery mechanics, release timing, ball trajectory control) overlaps only indirectly with sprint/hurdle success (acceleration mechanics, leg stiffness, sprint mechanics). Open source
[139] Sprint/hurdle success depends on running-specific mechanics and power expression Acceleration determinants N/A Coaching/sport science summaries (no single citation) Most of the technique variance is stride length/frequency control, stiffness, force application angles, and (for hurdles) rhythm/clearance mechanics—largely not trained in cricket bowling. Open source
[140] Bowler develops repeatable explosive effort under rhythm Cricket bowler skill components N/A Coaching/sport science summaries (no single citation) Repeat power and ability to load/explode rhythmically can translate a little to short, high-power efforts and confidence with producing force repeatedly. Open source
[141] Learning ability, coordination literacy, and training habits transfer General coordination and competitive habits N/A General evidence base (no single citation) Past high performance often correlates with faster skill learning, better technical practice habits, and psychological readiness to train hard—adding a small positive correlation. Open source
[142] Transfer priors: general explosive readiness and coordination — — General sports science knowledge (no single source) Sets a small baseline positive correlation because wicketkeeping builds quick-start coordination, lower-body stiffness awareness, and readiness for rapid movements (though not sprint technique). —
[143] Low-position reactive skill vs sprint/hurdle event determinants — — General coaching principles Reduces carryover because sprint/hurdle success depends heavily on run-up/starting mechanics, maximal acceleration technique, stride patterning, and (for hurdles) rhythm over barriers—none are trained specifically in wicketkeeping. —
[144] Indirect overlap: reaction/acceleration initiation — — General training principles Allows a slight upward adjustment since wicketkeepers react immediately and repeatedly, which can correlate weakly with the ability to initiate fast acceleration during a sprint/jump setup. —
[145] MTB cross-country → sprint/hurdles transfer prior (endurance → power): low-positive baseline No single definitive study 2026 Internal sports science reasoning Began with a small positive prior because fitness and general coordination can help with learning sprint mechanics and tolerating hard sessions, but MTB is endurance-dominant. Open source
[146] Specificity penalty: MTB lacks maximal acceleration & hurdle/stance mechanics No single definitive study 2026 Internal sports science reasoning Reduced correlation because sprint/hurdle success depends on maximal acceleration, high rate of force development, sprint stiffness/elastic use, and hurdling technique—largely not trained in MTB cross-country. Open source
[147] Partial overlap uplift: repeated surges + leg stiffness/power expression (limited) No single definitive study 2026 Internal sports science reasoning Slightly increased correlation due to MTB riders experiencing repeated short hard surges during climbs/technical bursts, which can provide some foundation for power training—though not the same as sprint speed mechanics. Open source
[148] Endurance/pacing vs maximal acceleration transfer heuristic Authors n/a 2026 Internal reasoning Cycling road climbing strongly trains aerobic power, sustained output, and pacing; sprint/hurdle success is dominated by maximal acceleration, stiffness, and speed mechanics, so direct carry-over is limited. —
[149] General power/leg strength pathway (indirect positive adjustment) Authors n/a 2026 Internal reasoning Climbers often develop good relative leg force and can produce high power; if they have trained strength/neuromuscular properties, that can provide a modest positive link to sprint power development. —
[150] Motor-skill specificity and elastic/technique mismatch Authors n/a 2026 Internal reasoning Cycling pedaling mechanics do not train sprint-specific stiffness, sprint posture, drive-phase mechanics, or hurdle rhythm; this reduces correlation and increases variance. —
[151] Between-person variability prior (existing track speed, plyometrics exposure) Authors n/a 2026 Internal reasoning Some cyclists also do track/sprinting/plyometrics, which would raise observed transfer; most do not, widening the expected standard deviation. —
[152] Shared high-intensity neuromuscular demands (power, acceleration intent) Authors n/a 2026 Internal sports-science priors Cycling sprinters and sprint/hurdle athletes both repeatedly express maximal to near-maximal force quickly; that common neuromuscular ‘turn it on’ skill supports a stronger-than-average correlation. —
[153] Specificity mismatch: pedaling force application vs running acceleration mechanics Authors n/a 2026 Internal sports-science priors Cycling power is generated through crank/pedaling biomechanics with a largely fixed cyclic pattern; sprinting/hurdles require rapid ground contact, stiffness/elastic recoil, and acceleration mechanics—reducing transfer of technique despite similar effort profile. —
[154] Technical coordination and rhythm differences (cadence vs stride/stiffness) Authors n/a 2026 Internal sports-science priors Road sprinting emphasizes cadence and producing high torque through legs, while running sprints/hurdles emphasize stride timing, footstrike pattern, and (for hurdles) hurdle clearance coordination. This limits how much ‘ranking’ transfers from one sport to the other. —
[155] Psychological overlap: race readiness, pacing during surges, and repeated-intensity tolerance Authors n/a 2026 Internal sports-science priors Road cycling mass-start/TT contexts train athletes to handle discomfort and execute repeated hard surges with tactical focus—useful for sprint events where explosive readiness and responding to race moments matters. —
[156] Transfer is stronger for shared neuromuscular demands and weaker when the key motor patterns differ General transfer-learning (principle) 2020 Sports science domain knowledge (synthesis) Used to start with a low-to-modest correlation because time trial cycling and sprint/hurdle running share some power-generation capacity, but the movement pattern and timing demands differ a lot. Open source
[157] Time trials emphasize sustained power/threshold more than repeated maximal sprint mechanics Cycling time-trial determinants (general) 2017 Cycling physiology knowledge (synthesis) Supports keeping correlation from getting too high: TT riders are trained for holding hard power, not for maximal acceleration/stiffness and short-ground-contact sprint technique. Open source
[158] Sprints and hurdles depend heavily on maximal acceleration, elastic stiffness, and sprint technique Sprint/hurdle event determinants (general) 2018 Track & field biomechanics/physiology knowledge (synthesis) Used to justify an added reduction: sprint/hurdle success is highly technique- and neuromuscular-timing-specific (start/acceleration mechanics, running stiffness, hurdle clearance rhythm), which cycling doesn’t directly teach. Open source
[159] Demand-overlap heuristic: cycling track endurance → sprint/hurdle acceleration & stiffness N/A (estimated via sport-demand overlap rather than a single exact published study) N/A N/A Used to set a low-to-modest positive correlation based on shared general traits (leg strength base, neuromuscular coordination, training discipline, some ability to generate force) while down-weighting the mismatch between endurance-dominant cycling specialization and sprint/hurdle requirements for maximal acceleration, high-rate force production, and sprint-specific mechanics. Open source
[160] High overlap in explosive acceleration mechanics Authors n/a 2026 Internal domain knowledge Cycling track sprint success reflects peak power, rapid force development, and neuromuscular stiffness/leg-drive qualities that align well with short sprint/hurdle demands. —
[161] Technique specificity limits transfer (pedaling vs running/hurdling) Authors n/a 2026 Internal domain knowledge Even with similar power requirements, sprint/hurdle technique depends on running mechanics, stride patterning, hurdle clearance rhythm, and landing/stance skills not learned in velodrome sprinting. —
[162] Hurdle coordination and timing add variability Authors n/a 2026 Internal domain knowledge Because this event family includes both flat sprints and hurdles, the correlation should be more variable: flat sprint overlap is higher than hurdle clearance overlap, increasing uncertainty (std dev). —
[163] Epee success is driven by timing, footwork precision, acceleration/deceleration control, and reactive decision-making Fencing performance determinants (general) N/A General sports science / fencing coaching literature Supports a small carry-over because both epee and sprint/hurdle events rely on explosive acceleration mechanics and well-timed step patterns. Open source
[164] Sprint/hurdle success depends strongly on event-specific acceleration mechanics, maximal velocity technique, and stiffness/force application Sprint/hurdle performance determinants (general) N/A General track & field sports science literature Explains why transfer shouldn’t be large: the dominant determinants are biomechanics and force production patterns trained very differently from fencing. Open source
[165] Transfer tends to be stronger for shared movement qualities (e.g., acceleration timing) than for sports that differ in energy systems and technical toolsets Skill transfer / near vs far transfer (general) N/A General motor learning/sport psychology research Justifies a modest positive correlation (more overlap than epee→distance running), but still limited because fencing doesn’t train maximal sprint stiffness/velocity technique or hurdling clearance mechanics. Open source
[166] Transfer of training (motor learning / perceptual skill transfer; conceptual basis) Transfer of training / perceptual-motor principles (conceptual) n.d. General sports science literature (no single source) Supports a small positive correlation via general coordination, timing, and fast decision/execution habits that can help learning sprint mechanics. Open source
[167] Task-specificity of motor learning limits prediction across different movement/energy demands (conceptual) Sprint mechanics and energy-system specificity (conceptual) n.d. General motor learning / physiology principles (no single source) Keeps the correlation low because short sprints/hurdles depend heavily on running biomechanics (stiffness, stride mechanics) and maximal-speed/force production that foil does not train directly. Open source
[168] Estimated skill/mentality carry-over from fencing sabre to sprints & hurdles (short high-power running) Unnamed (model-based synthesis) 2026 Internal sports-science reasoning Used to estimate a small-to-moderate positive correlation from shared qualities like explosive starts, rapid acceleration, stiffness/leg coordination, and reacting quickly to an opponent signal; discounted because sabre does not meaningfully train sprint mechanics/hurdle technique at race specificity. Open source
[169] Low-transfer prior (internal) Bayesian prior: low technique overlap between reactive stick-and-ball goalkeeper play and sprint/hurdle technical patterns (internal prior) 2026 Internal reasoning Used a baseline near 0.05 because the dominant skills differ: hockey goalkeeper success is largely reactive shot-stopping and stance/ball tracking, while sprints and hurdles are dominated by acceleration mechanics, stride frequency, stiffness/elastic utilization, and hurdling technique. Open source
[170] Minor general-athletic overlap adjustment Small upward adjustment: shared general explosiveness + body control under contact/chaos (internal adjustment) 2026 Internal reasoning Adjusted slightly upward because hockey goalkeepers do train repeated explosive pushes, rapid transitions, and balance/control in response to fast plays—abilities that can help with initial acceleration training adherence and early sprint mechanics learning. Open source
[171] Internal priors: intermittent stick-sport outfield quickness to sprint/hurdle speed Authors n/a 2026 Internal reasoning Used a modest positive baseline because hockey outfield demands frequent accelerations, decelerations, and reactive bursts that can correlate with general sprint speed/power. —
[172] Technique/biomechanics discount: maximal sprint & hurdle mechanics are event-specific Authors n/a 2026 Internal reasoning Discounted further because elite sprinting and hurdling depend on very specific mechanics (stance stiffness, stride frequency/length patterns, lead-leg technique, hurdle clearance rhythm) not directly trained in hockey; overlap remains mostly athletic qualities and learning habits. —
[173] Precision sport (golf) to maximal-speed sprinting: weak technique transfer prior Authors n/a 2026 Internal sports science heuristic Set a near-zero positive prior: golf supports fine motor control, timing, and composure, but sprint/hurdle success is dominated by running-specific mechanics (acceleration mechanics, stiffness, contact times) and fast-twitch power. —
[174] Mental execution under pressure adjustment Authors n/a 2026 Internal sports science heuristic Slight upward adjustment because sprints/hurdles still require repeated explosive technique execution with strong focus (start sequence, first steps), which parallels golf’s repeatability mindset. —
[175] Major motor/physiology mismatch adjustment Authors n/a 2026 Internal sports science heuristic Downward adjustment because golf striking has little overlap with the leg stiffness, stride mechanics, and sprint start coordination central to sprints/hurdles. —
[176] General transfer of neuromuscular coordination and body control across sports Motor learning / coordination transfer (general) various Sports science / motor learning literature (general) Gymnastics can improve movement coordination, stiffness/bracing awareness, and efficient force application, which can slightly help sprint start mechanics and overall running technique. Open source
[177] Plyometrics and acrobatic training contributing to explosive power and sprint mechanics Acrobatic / plyometric effects on sprint-relevant qualities (representative) various Strength & Conditioning / plyometrics literature Provides a small lift to correlation because gymnastics includes repeated high-force and explosive actions that share some mechanics with sprint power production. Open source
[178] Sprints and hurdles determinants are highly event-specific (max velocity, speed endurance, rhythm) Event-specific mismatch (acceleration + speed specific) various Coaching/performance practice knowledge Keeps correlation low because top sprint/hurdle performance depends strongly on sprint-specific technique, neuromuscular speed, and rhythm/efficiency at maximal velocity—things gymnastics does not train directly. Open source
[179] Cross-sport correlation baseline for technique-heavy coordination transfer General motor-skill transfer / coordination transfer (conceptual) N/A Internal reasoning Rhythmic gymnastics supports coordination, balance, and body control that can slightly help sprint mechanics learning; sets a small baseline positive correlation. Open source
[180] Gymnastics contribution to stiffness and technique quality Proprioception, posture control, and landing/stance mechanics (general) N/A Internal reasoning Adjust upward modestly: rhythmic gymnastics can improve lower-body alignment, trunk control, and how efficiently athletes organize their body during fast, repeated re-orientation. Open source
[181] Why maximal sprint/hurdle performance is dominated by sprint-specific acceleration and elasticity training Speed specificity and power development specificity (general) N/A Internal reasoning Adjust downward: sprint/hurdle results depend strongly on maximal acceleration, reaction timing, and sprint-specific strength/elasticity training that rhythmic gymnastics doesn’t directly provide. Open source
[182] High variance due to different cross-training backgrounds Background/transfer variance across athletes (general) N/A Internal reasoning Keep standard deviation moderate: some rhythmic gymnasts may also do track/sprints or plyometric/dance conditioning that boosts true transfer. Open source
[183] Trampoline improves stiffness/coordination that can support sprint mechanics General neuromotor/elastic coordination transfer priors (Bayesian heuristic) 2026 Internal heuristic synthesis Base expectation that trampoline skill relates to better body control, posture, and elastic/reactive coordination useful for short accelerations. Open source
[184] Sprints rely heavily on power development and sprint-specific mechanics Sprinting determinants beyond technique (Bayesian heuristic) 2026 Internal heuristic synthesis Adjusted downward because maximal sprint performance depends strongly on speed/power and sprint-specific strength and mechanics not directly trained by trampoline. Open source
[185] Aerial training does not fully replicate ground-driven sprint demands Difference in training constraints: collision/ground-contact vs aerial (Bayesian heuristic) 2026 Internal heuristic synthesis Kept modest correlation ceiling since trampoline is mostly aerial/landing control rather than repeated high-velocity ground drive. Open source
[186] Handball backcourt → Athletics sprints/hurdles Authors n/a 2026 Internal sports-science reasoning Estimated small positive carry-over from transferable qualities (explosive acceleration, coordination, reaction to stimuli, and maintaining speed mechanics through short high-intensity efforts). Discounted because sprint/hurdle technique is highly event-specific (stride pattern, stiffness, hurdle mechanics) and handball’s dominant technical patterns are throwing/shooting rather than sprinting mechanics. —
[187] Heuristic overlap mapping (handball goalkeeper → sprints/hurdles) Authors n/a 2026 Internal sports-science reasoning Estimated skill/technique/mentality carry-over: goalkeeper success includes rapid explosive reactions, coordinated start/stop movement, and lower-body stiffness/agility during dives and recoveries; mapped weakly to sprint/hurdle needs (max acceleration, stiffness, quick ground contacts). —
[188] Bayesian adjustment for partial similarity with strong technique specificity Authors n/a 2026 Internal sports-science reasoning Started with a low positive prior for different sports, then increased slightly because both involve short, high-power, fast reactive movement; capped the value because sprint/hurdle performance is heavily dependent on event-specific mechanics (drive phase, stride pattern, hurdling technique) not practiced in handball goalkeeper role. —
[189] Heuristic Bayesian estimate from overlap in short-burst explosiveness and reaction/coordination; limited overlap in sprint-specific mechanics and event-rule technique OpenAI sports-science reasoning model N/A N/A Used to set a small-to-moderate positive correlation because both Pivot and sprints/hurdles reward producing power quickly and coordinating fast, repeated actions—while handball pivot technique and movement patterns differ from sprint acceleration mechanics and (for hurdles) hurdle technique. Open source
[190] How much handball wing excellence predicts short sprint/hurdle success via general power, acceleration practice, and coordination Cross-sport transfer heuristics (intermittent high-intensity -> short sprint speed) 2026 Assistant synthesis Used as a starting point for a modest positive correlation because both involve explosive efforts, fast reaction to cues, and repeated accelerations. —
[191] Wing role demands: maximal bursts, rapid angle changes, coordination, and playing fast under pressure Handball wing skill requirements 2026 Assistant synthesis Supports transfer of qualities like acceleration capacity, leg stiffness/elastic use in short bursts, and fast decision timing; notes that sprint mechanics are not identical to handball movement. —
[192] Sprints/hurdles demands: track-specific start/acceleration technique, stride pattern, and (for hurdles) clearance mechanics Sprint & hurdle event-family skill requirements 2026 Assistant synthesis Limits correlation because the decisive determinants (start technique, stride length/frequency control, hurdling form) are highly event-specific and may not be trained in handball. —
[193] Cross-sport correlation rises modestly when both sports reward explosive power and fast reactions Transfer of learning when movement/energy demands overlap (general) N/A Sports science synthesis (general) Ice-hockey defensemen and sprint/hurdle athletes both train and compete in short high-intensity bursts, supporting some positive carryover. Open source
[194] Technical and movement-pattern specificity limits transfer Motor learning specificity (general) N/A Motor learning literature (general) Even though both are explosive, hockey skating/contact mechanics differ from sprint/hurdle running form and (for hurdles) rhythm/clearance, so correlation cannot be large. Open source
[195] Rapid decision-making and coordination under time pressure transfer weakly to other speed sports Perceptual-cognitive skills under speed/pressure (general) N/A Sports psychology/cognition (general) Hockey defense involves reacting instantly to changing play; this can aid learning and execution of sprint/hurdle technique, but it’s not a primary driver of race performance. Open source
[196] Baseline modest positive correlation between sports that share acceleration/burst athletic demands General cross-sport transfer priors (athletic qualities carryover; technique mismatch) N/A Sports science synthesis Provides an initial small-to-modest correlation because both involve high-intensity bursts, but training specifics differ. Open source
[197] Ice hockey forward demands (explosive skating accelerations, repeated speed bursts, coordination) Ice hockey forward demands N/A Training/sport knowledge base Supports an uplift since forwards often develop rapid acceleration, stiffness/power use in skating, and fast coordination—partially relevant to sprinting. Open source
[198] Sprints & hurdles demands (maximal acceleration mechanics, running-specific stiffness, technique at top speed and hurdle clearance) Sprint/hurdle event demands N/A Training/sport knowledge base Limits correlation because the key determinants are running-specific mechanics (stride/foot strike patterns, posture, technique for hurdles) not taught by ice skating + puck handling. Open source
[199] Transfer of learning from ice hockey goaltending to athletics sprints and hurdles General transfer reasoning (short explosive outputs + reaction under pressure; limited overlap in sprint/hurdle technique) N/A Sports science reasoning (no single empirical dataset specified) Estimated carry-over based on shared broad abilities: rapid neuromuscular activation, acceleration mechanics at a high level, and staying coordinated under fast, chaotic conditions; strongly discounted sport-specific technique for sprint start/stride and hurdle clearance. Open source
[200] Heuristic estimate: judo explosiveness + acceleration tolerance can transfer to sprint/hurdle performance Heuristic: overlap in short-burst power, acceleration mechanics, and explosive coordination, General sports science reasoning Unknown Sports science reasoning Used to place the correlation around the low–moderate ~0.1 range because both activities reward rapid force production, stiffness/elastic use, and coordinated whole-body mechanics in short durations. —
[201] Heuristic estimate: sprint/hurdle technical requirements limit carry-over Heuristic: limited transfer of sprint-specific technique, General sports science reasoning Unknown Sports science reasoning Used to cap the correlation (preventing it from getting too high) due to major event-specific differences: start mechanics, stride frequency/length tuning, hurdling rhythm/lead-leg technique, and running-specific acceleration mechanics not trained directly in judo. —
[202] General power/acceleration carryover (lacrosse attacker → sprint/hurdle short events) Internal sports-science synthesis 2026 Model reasoning Sets a small positive correlation because lacrosse attackers repeatedly perform high-intensity accelerations, decelerations, and explosive lower-body efforts. This can translate into some acceleration mechanics, neuromuscular readiness, and comfort with sprinting at maximal effort. —
[203] Event-technique mismatch discount (stick/contact vs sprint/hurdle mechanics) Internal sports-science synthesis 2026 Model reasoning Reduces correlation since sprint/hurdle success depends heavily on highly event-specific technique: starting blocks (for many sprints), sprint mechanics (knee drive, stiffness, rhythm), and for hurdles precise lead/trail-leg coordination and clearance timing. Lacrosse attacker mechanics (cutting, dodging, stick/ball timing, and contact angles) don’t directly teach those patterns, adding noise and limiting prediction. —
[204] Cross-sport transfer intuition (lacrosse defender → sprints/hurdles short high-power running) Authors n/a 2026 Sports science reasoning Used a low-to-modest prior because lacrosse defense includes repeated high-intensity bursts and speed changes, which can transfer some acceleration/power readiness and competitive intensity. Adjusted downward since sprint/hurdle success depends heavily on event-specific mechanics (max-velocity technique, sprint stiffness/force-time profile, hurdle clearance rhythms) not trained in lacrosse defending as primary skills. —
[205] Some shared high-power qualities: explosiveness and fast reaction from reactive goalie work General sport-transfer reasoning (no single paper) 2026 Sports science knowledge synthesis Supports a small positive correlation because lacrosse goalkeeping involves repeated short bursts, rapid starts/first steps, and reactive coordination that can overlap with sprinting demands. Open source
[206] Limited event-specific transfer: sprint mechanics (start drive, acceleration technique) not directly trained General sport-transfer reasoning (no single paper) 2026 Sports science knowledge synthesis Caps the correlation since sprint/hurdle success is dominated by specialized mechanics (start technique, stride stiffness, running posture, hurdle clearance) rather than ball/goalkeeping skills. Open source
[207] Stochastic contact/stance differences reduce carryover vs pure sprint training General sport-transfer reasoning (no single paper) 2026 Sports science knowledge synthesis Accounts for extra variability: lacrosse-specific movement patterns and defensive positioning are not as repeatable or technique-locked as sprint/hurdle training, increasing spread around the mean. Open source
[208] Shared motor demands (max speed & stiffness during bursts) transfer weakly-to-moderately across running sports General transfer: acceleration/power development in field sports N/A Sports science synthesis (not a single study) Justified a small-to-modest positive correlation because lacrosse midfielders do frequent high-intensity accelerations and decelerations that can correlate with sprinting power qualities. Open source
[209] Task and technique specificity limits transfer to sprint/hurdle events Specificity: sprint/hurdle technique constraints N/A General performance knowledge Reduced the estimate because sprinting/hurdling success depends on very event-specific mechanics (start block/first steps for sprints; hurdling rhythm/clearance for hurdles) that lacrosse does not train as directly. Open source
[210] Padel proficiency vs sprints/hurdles maximal-acceleration readiness (technique/learning overlap only) Internal skill-transfer calibration (no external study supplied) 2026 Internal reasoning Set a low-to-moderate positive correlation: padel involves repeated short sprints, rapid deceleration/acceleration, and fast reactive movements. However, sprint/hurdle success is dominated by event-specific mechanics (start/drive phase, stride frequency/length, stiffness/ground-contact management, hurdle rhythm and lead/trail leg timing) that padel does not train directly. Open source
[211] Limited direct technique overlap (paddle striking vs sprint acceleration mechanics) Authors n/a 2026 Internal reasoning prior Pickleball skill is mainly about paddle-ball timing, anticipation, and short lateral/range movement. Sprint/hurdle success depends heavily on starting mechanics, acceleration mechanics, stiffness/elastic use, and hurdle rhythm—largely not trained by pickleball. —
[212] Small positive transfer from reactive footwork and repeated high-cadence movement Authors n/a 2026 Internal reasoning prior Because pickleball involves frequent quick starts/stops, direction changes, and reaction-driven movement, it can support general neuromuscular responsiveness and coordination that may slightly help sprint development early. —
[213] Energy systems overlap is weak for maximal-intensity sprinting Authors n/a 2026 Internal reasoning prior Pickleball rallies are intermittent and not identical to the near-maximal acceleration/velocity demands (especially for hurdles), so any correlation via fitness/conditioning is expected to be small. —
[214] Transfer reasoning: rowing (lightweight) to athletics (sprints & hurdles) Internal synthesis: lightweight rowing → sprints/hurdles transfer pathways and bottlenecks 2026 Internal synthesis Used overlap in general explosive-strength/leg power potential, whole-body coordination, and ability to learn/maintain mechanics under fatigue. Down-weighted because rowing’s primary conditioning is aerobic/efficiency and its stroke force direction doesn’t replicate maximal sprint acceleration, rapid braking/turn mechanics, or hurdle clearance technique. —
[215] Principles of motor-skill transfer and specificity of training (skill/coordination vs. physical conditioning) Non-specified (general sports science reasoning) n/a Sports science consensus Used to justify only modest carry-over between rowing performance (whole-body rhythmic power + endurance) and sprint/hurdle performance (maximal acceleration + stiffness), with limited shared technique. Open source
[216] Shared attributes between rowing and sprinting: general power output, lower-body force production, and high-intensity work capacity Non-specified (general biomechanics/physiology reasoning) n/a Sports science consensus Used to estimate a small positive correlation due to overlap in general force/power and high-intensity training experience, while recognizing different movement patterns dominate outcomes. Open source
[217] Specificity of training and different technical/kinematic demands across sports Non-specified (general training specificity reasoning) n/a Sports science consensus Used to limit the correlation: sprint/hurdle success is heavily determined by sprint mechanics, neuromuscular stiffness, and acceleration technique that do not transfer strongly from rowing. Open source
[218] Shared qualities: maximal acceleration, leg stiffness, and speed endurance from repeated bursts Authors n/a n/a Sports science transfer synthesis (no single canonical citation) Rugby halfback/midfield roles involve repeated short explosive accelerations and high neuromuscular power outputs, which can translate into sprint/hurdle readiness (stiffness/force production) as a partial signal of “speed skill”. —
[219] Technical mismatch: sprint and hurdling mechanics vs rugby distribution/collision movement Authors n/a n/a Coaching-position-demand synthesis (no single canonical citation) Rugby success as a halfback is driven heavily by passing/kicking/distribution and collision/avoidance patterns; sprint/hurdle performance depends strongly on very specific running mechanics (stride timing, posture, landing/takeoff) and for hurdles barrier clearance technique. —
[220] Training pathway dependence and conversion variance Authors n/a n/a Bayesian conversion variance prior (no single canonical citation) Sprint/hurdle outcomes are very sensitive to event-specific practice (blocks, acceleration mechanics, hurdle drills) after switching, so the correlation from prior rugby performance should be modest with noticeable spread. —
[221] No strong reason for systematic negative transfer once body-type traits excluded Authors n/a n/a Model constraint based on technique-only assumption (no single canonical citation) While rugby may not teach sprint mechanics directly, it typically doesn’t ‘teach the wrong thing’ for sprinting; it mainly adds insufficient upside rather than creating consistent negative transfer. —
[222] Rugby loose forward → Athletics sprints/hurdles: overlap assessment N/A (model-based estimation) 2026 Internal sports science reasoning (no single external source used) Estimated carry-over by attributing some shared components from rugby loose forward success—short-burst acceleration, leg stiffness/power from repeated contact and fast open-field play, and general high-intensity effort under fatigue—while reducing for sport-specific requirements of sprinting/hurdling (max-velocity mechanics, sprint technique efficiency, hurdle clearance patterns, lead/trail leg timing, and event-specific conditioning). Open source
[223] Acceleration and top-end sprinting overlap — N/A Sports science synthesis Rugby outside backs succeed largely through repeated high-speed bursts, acceleration, and open-field sprinting, which strongly align with sprint/hurdle acceleration demands. Open source
[224] Elastic stiffness/leg spring contribution — N/A Sports science synthesis Evasion and explosive broken-play running tend to train elastic, springy mechanics and rapid force application—key for short sprints. Open source
[225] Reactive movement and rhythm under contact — N/A Sports science synthesis Outside backs develop reactive timing and coordination while the situation changes quickly, which can help for the reactive start and stride pattern adjustments in hurdles. Open source
[226] Hurdle/event-specific technique penalty — N/A Sports science synthesis Even though the family includes hurdles, hurdle clearance technique, lead-leg/ trail-leg timing, hurdle spacing/approach rhythm are highly event-specific and not fully learned in rugby. Open source
[227] Sprint technique differences and fatigue pattern mismatch (stop-start vs maximal-repeat) — N/A Sports science synthesis Rugby sprinting is often interspersed with deceleration, contact, and direction changes; sprint/hurdle training is more about repeatable maximal-velocity mechanics and precise rhythm. Open source
[228] Skill-transfer plausibility framework (rugby tight-five contact/set-piece → sprint/hurdle acceleration mechanics) N/A (synthesis) 2026 Internal reasoning Estimated carry-over from rugby union tight-five success (force production under contact, structured training, general power) to athletics sprints/hurdles success (maximal acceleration, stiffness/elastic mechanics, sprint-specific technique), excluding body-trait/proportion effects. Open source
[229] Explosive leg drive & stiffness control overlap (general) Reasoned synthesis (no single direct dataset assumed) 2026 Sports science reasoning Used a small positive transfer because alpine speed events require strong lower-body force production and stiffness/stance control during turns and high-speed stability. Open source
[230] Mismatch in sprint technique (edge/braking vs acceleration mechanics) Reasoned synthesis (no single direct dataset assumed) 2026 Biomechanics reasoning Reduced correlation because sprint/hurdle success depends on running-specific acceleration mechanics, stride frequency/length, and posture control over ground—not ski edging/gliding forces. Open source
[231] Different timing/rhythms and lack of sprint start specificity Reasoned synthesis (no single direct dataset assumed) 2026 Training transfer reasoning Reduced further because alpine speed success is course-line holding at speed, while sprints/hurdles are dominated by start drive, maximal-velocity mechanics, and hurdle clearance timing. Open source
[232] Cross-sport transfer is mainly from shared neuromotor skills (coordination, balance, force control) rather than sport identity General motor learning / coordination transfer N/A General sports science principles Set a low positive baseline because skiing can improve lower-body coordination and balance, which can slightly aid sprint/hurdle skill acquisition. Open source
[233] Sprint performance depends heavily on sprint-specific strength, rate of force development, and repeated acceleration practice Exercise physiology / training specificity N/A General exercise physiology / S&C knowledge Reduced correlation because alpine technical events do not specifically train the cyclic acceleration mechanics, starting technique, and sprint-specific power development pattern that drive sprint/hurdle results. Open source
[234] Different dominant movement patterns limit technique transfer across sports Biomechanics mismatch (edge-driven turning vs straight-line sprint mechanics) N/A General biomechanics principles Further reduced predictiveness: skiing success is edge/turn-force redirection based, while sprints/hurdles are largely straight-line acceleration + sprint mechanics (and hurdle rhythm for hurdles). Open source
[235] Modeled correlation for skill/physiology overlap Endurance-to-sprint mismatch assessment (ski XC → sprint/hurdle acceleration) 2026 Sports science reasoning Set a low positive correlation because both involve lower-body coordination and general athleticism, but cross-country skiing is predominantly aerobic endurance with sustained efficiency, whereas sprints/hurdles require maximal acceleration, stiffness/elastic recoil mechanics, and specific sprint/hurdle rhythm. Open source
[236] Explosive coordination carryover (not event-specific mechanics) General lower-body power expression (no single external dataset) 2026 Internal heuristic Snowboarding involves repeated strong pushes/edge-driven accelerations and rapid stance/hip/ankle actions, which can modestly support learning the stiffness/fast-leg coordination of sprint starts and acceleration. Open source
[237] Acceleration mechanics and top-speed mechanics differ strongly Mismatch in speed-training specificity (no single external dataset) 2026 Internal heuristic Sprint success depends on repeatable sprint technique (stride length/frequency, ground contact patterns), start mechanics, and speed endurance. Snowboarding’s propulsion is edge/terrain/turn-shape driven rather than straight-line run mechanics, limiting technique transfer. Open source
[238] Dynamic balance helps posture under high force Balance/perturbation to stiffness and posture (no single external dataset) 2026 Internal heuristic Good snowboarders often maintain alignment while forces and surfaces change. That can help with sprint/hurdle body posture and staying coordinated during rapid acceleration phases, giving a small but real advantage. Open source
[239] Cross-sport transfer of success is usually small when core motor skills differ Sports skill transfer literature (general) 2010-2020 Various sports science reviews (general) Sets a low baseline correlation for soccer central defender → sprint/hurdles because the event-specific technique (acceleration mechanics, stiffness/ground contact, hurdling rhythm) is not central to defending. Open source
[240] Sprint and hurdle results depend heavily on event-specific biomechanics and training adaptation Sprint/hurdle performance determinants (general) 2010-2020 Exercise physiology / coaching literature (general) Keeps correlation near-zero: any overlap from defending is not enough to determine sprint/hurdle success. Open source
[241] General sport experience can transfer through anticipation, competitiveness, and learning speed Perceptual-cognitive and competitive habits (general) 2010-2020 Applied sport psychology/skills learning literature (general) Adds a slight positive amount for mental toughness, reaction to motion, and learning to train hard—though not enough to create a meaningful technique transfer. Open source
[242] Techniques/fitness overlap estimate: soccer central midfielder → athletics sprints & hurdles General sports-transfer reasoning (skill/learning overlap framework) 2026 Internal synthesis Used to estimate carry-over via transferable elements: repeated acceleration bursts, change-of-direction speed, lower-body stiffness/leg drive awareness, and competitive fast-react behavior. Discounted sport-specific requirements for sprint/hurdle success: exact sprint mechanics (stride length/frequency optimization, start/drive phase), hurdle clearance technique, lead/trail leg timing, and event-specific coaching/training structure. Open source
[243] Transfer prior: small positive when overlap is mainly reaction/explosive movement, not event-specific technique Generic skill-transfer prior (general reactive athleticism) 2026 Internal reasoning prior Sets a low baseline (~0.00–0.08) for sprint/hurdle transfer when only general explosiveness and reaction overlap. Open source
[244] Goalkeeper transferable components: quick starts, repeated high-intensity bursts, rapid direction change Goalkeeper → acceleration/explosive movement components 2026 Internal reasoning prior Adds a bit because goalkeepers must sprint explosively and react quickly, which can correlate with some sprinting traits (without implying hurdling technique mastery). Open source
[245] Sprints/hurdles depend on highly specific mechanics (starts, stride timing, stiffness, hurdle technique) Sprints & hurdles constraints 2026 Internal reasoning prior Reduces the correlation because the dominant determinants for elite short sprints/hurdles are running mechanics, acceleration technique, and for hurdles, clearance technique—largely not trained in soccer goalkeeping. Open source
[246] Role-based transfer from explosive attacking (soccer striker) to maximal-acceleration events (sprints/hurdles) Internal Bayesian sports-skill transfer estimate (soccer striker → sprint/hurdles) 2026 Model reasoning Used to estimate carryover from shared demands: explosive acceleration, repeated high-intensity bursts, and coordination/timing for short-duration efforts. Reduced because hurdles also require event-specific hurdle technique and sprint mechanics/starts that are not typically striker priorities. —
[247] Transfer of training / motor skill transfer (general principle) — 2026 General sports science reasoning Used to justify that general explosive running capability and speed/coordination habits from soccer can predict sprint/hurdle potential to some extent. Open source
[248] Energy-system and movement-pattern specificity — 2026 General sports science reasoning Used to cap correlation because sprint-and-hurdle success depends on event-specific mechanics (start/drive phase, sprint stiffness pattern, hurdle clearance timing/lead-leg mechanics) not normally trained for wingers. Open source
[249] Overlap logic: winger vs sprint/hurdle demands — 2026 General sports science reasoning Used to estimate overlap via shared needs: maximal acceleration bursts, high-speed running mechanics, and tolerance for repeated near-max efforts; acknowledges hurdles add technical skill and different rhythm. Open source
[250] Estimated carry-over from softball catcher to sprint/hurdle events Heuristic sports-transfer model (general coordination/discipline vs. event-specific mechanics mismatch) 2026 Internal synthesis Estimated by weighing shared general skills (attention, quick reaction, learning complex motor tasks) against major mismatches: catcher performance relies on ball reception/blocking timing and crouched glove work, while sprint/hurdle success depends on sprint mechanics, stiffness/elastic use, acceleration phases, and hurdle-specific timing. —
[251] Baseline prior for carryover from softball fielding to sprint/hurdle event family Unknown (modeled estimate) 2026 Internal sports-science prior Used because softball field-player technique is distinct from sprint/hurdle mechanics, but both involve short explosive movements and reactive athleticism. —
[252] Positive contributors: acceleration mechanics, reactive start/stop, coordination Unknown (modeled estimate) 2026 Internal sports-science prior Softball fielders frequently practice rapid first steps, quick deceleration/turning, and tracking-to-action timing—skills that can slightly ease sprint/hurdle skill acquisition. —
[253] Mismatch factor: sprint stiffness/acceleration model and hurdle-specific technique Unknown (modeled estimate) 2026 Internal sports-science prior Max-sprint and hurdle performance depend on event-specific sprint mechanics (block/start, step frequency/length, stiffness/force application over many steps) and hurdle patterning; these are not trained directly in softball fielding, limiting correlation. —
[254] Cross-sport skill transfer estimate (softball pitcher → sprints/hurdles) Internal sports-skill transfer prior (softball pitching → sprint/hurdle power-speed) 2026 Internal model Used to set a plausible correlation range based on overlap in general explosive coordination and body control, plus some transferable fast decision/commitment habits. Reduced because pitching’s underhand mechanics and arm-driven force production do not directly train sprint/hurdle-specific acceleration mechanics, stiffness management, and hurdling technique (lead-leg/pattern, rhythm). Open source
[255] Cross-sport transferable-skill model (squash → sprint/hurdle acceleration) Internal domain reasoning N/A N/A Estimated carry-over from squash success to short sprint/hurdle performance by weighting overlap in explosive acceleration bursts, dynamic coordination, and repeated high-intensity efforts; down-weighted due to lack of sprint/hurdle-specific mechanics (starting mechanics, sprint posture, hurdle clearance technique). Open source
[256] Surfing → athletics (sprints & hurdles) skill/conditioning transfer model Internal synthesis: surfing to sprint/hurdle transfer estimate 2026 Internal synthesis Set a low positive carryover: surfing can help with coordination, balance, and some general explosive/plyometric stimulus, but subtract heavily because sprint/hurdle success depends on run-up mechanics, maximal acceleration technique, and stiffness/elastic utilization patterns not trained by surfing. Open source
[257] Limited endurance transfer vs strong energy-system mismatch (swim middle-distance vs sprint/hurdle sprinting) Authors n/a 2026 Internal model Reduced correlation because middle-distance backstroke success is driven more by aerobic economy and pacing than maximal acceleration, while sprint/hurdle outcomes depend heavily on rate of force development and high-power mechanics. —
[258] Some transferable coordination/technique-learning from swimming Authors n/a 2026 Internal model Kept a small positive correlation due to shared underlying skill elements (body control, rhythm, efficient movement patterns, training discipline) that can speed up acquiring sprint mechanics, even if it doesn’t teach acceleration physics. —
[259] Neuromuscular and mechanics specificity constraint (water propulsion vs track acceleration) Authors n/a 2026 Internal model Further reduced correlation because backstroke propulsion/turn/underwater mechanics do not directly train sprint start, stiffness/elastic storage, ground contact timing, or hurdling rhythm via trail-leg/lead-leg mechanics. —
[260] Sprint-tempo overlap: explosive starts/turn bursts vs short sprint acceleration Authors n/a 2026 Internal reasoning Increase correlation because both sprint backstroke and short sprint/hurdle events reward short-burst power, acceleration mechanics, and maintaining high movement tempo under fatigue. —
[261] Technique specificity mismatch: aquatic propulsion + shoulder rhythm vs ground running stiffness/stride mechanics Authors n/a 2026 Internal reasoning Decrease correlation because the dominant technical skills differ: backstroke mechanics (shoulder rhythm, underwater/turn execution) don’t map directly to running stride/stance stiffness, takeoff mechanics, or hurdle clearance technique. —
[262] General transferable learning: race execution, practiced skills under pressure, mobility/rhythm control Authors n/a 2026 Internal reasoning Add a bit because elite swimmers typically learn to execute rehearsed technique at maximal effort repeatedly, which helps sprint/hurdle technique acquisition and consistency. —
[263] Bayesian calibration within ‘different sports but similar demand’ window Authors n/a 2026 Internal reasoning Anchor the estimate to a small-to-moderate correlation range expected when sports share energetic/coordination demands (sprinting) but not the same movement/implements. —
[264] Transfer of learning (general principles) General transfer of learning / training principles 2026 Internal synthesis Used to justify that some coordination, training discipline, and basic “learning ability” transfers across sports, but it rarely yields strong predictive power. Open source
[265] Motor learning and specificity Motor learning & specificity 2026 Internal synthesis Down-weights correlation because swimming breaststroke propulsion/timing does not map well to sprint/hurdle mechanics (gait, stiffness/elastic recoil, start/stance, hurdle clearance patterns). Open source
[266] Endurance vs sprint/power demands (general) Power/energy-system mismatch (endurance vs sprint power) 2026 Internal synthesis Supports a low correlation because breaststroke middle-distance emphasizes efficiency and sustained effort, whereas sprint/hurdles success depends heavily on maximal acceleration, stiffness/reactivity, and short-burst explosive outputs. Open source
[267] Cross-sport success transfer is driven mainly by overlap in key learned determinants (timing/coordination + force production + acceleration mechanics), and is much smaller when event-specific techniques differ General sports science on cross-sport transfer n/a Sports science generalization Used to justify a moderate positive correlation because both sprint breaststroke (starts/turns/wall acceleration, coordinated force) and sprint/hurdles (maximal acceleration, stiffness, speed) reward overlapping qualities. Open source
[268] Breaststroke sprint performance depends strongly on timing and explosive propulsion from starts/turns/walls (and coordinated arm-leg action) Swimming biomechanics/coaching (general) n/a Swimming biomechanics / coaching generalizations Supports keeping correlation in the mid range rather than low: good sprint-breast technique signals strong acceleration mechanics and coordination under high effort. Open source
[269] Sprint and hurdles success is heavily influenced by acceleration/maximum-velocity mechanics and reactive stiffness; hurdling adds rhythm/coordination demands Track sprint/hurdles coaching & physiology (general) n/a Track & field sprint/hurdles generalizations Used to cap the correlation: hurdling rhythm/clearance technique and running-specific ground-contact mechanics don’t directly exist in breaststroke. Open source
[270] Cross-transfer of motor skills is often small unless tasks overlap strongly Magalhães et al., Fransen et al. various Motor learning / sports science literature Supports that swimming butterfly’s water-propulsion coordination doesn’t directly map onto short sprint/hurdle mechanics, limiting predictive carryover. Open source
[271] General training habits and learning transfer, while specific technique does not Hernandez et al. (review-level training transfer discussion) various Sports training / exercise science literature Justifies a small positive association through general athleticism, strength conditioning, and the ability to keep technique under fatigue, even when the sprint skill is different. Open source
[272] Different time/demand profiles limit cross-sport performance prediction Energy systems & neuromuscular demands research (e.g., Docherty et al.; McGowan & Pyne themes) various Sports physiology literature Butterfly middle-distance is endurance/efficiency heavy, whereas sprints/hurdles are maximal acceleration and stiffness/ground-contact mechanics—reducing correlation. Open source
[273] Sprint success depends heavily on sprint-specific mechanics and stiffness/force application timing Biomechanics of sprinting / hurdling general reviews various Biomechanics literature Explains why most outcome variance in sprints/hurdles is governed by sport-specific leg drive, ground contact, and hurdle rhythm, which butterfly only partially prepares. Open source
[274] Model reasoning: butterfly sprint success (explosive power, rhythm, short-burst high-intensity mechanics, fatigue management) to sprint/hurdle events (maximal acceleration, stiffness/power, speed maintenance, coordination) N/A (estimation) 2026 Model reasoning Estimated skill-only transfer based on shared high-power, short-duration demands and general coordination/technique-under-intensity, while discounting major sport-specific differences (swim propulsion vs track running/hurdling mechanics). —
[275] Why endurance swimming predicts sprinting only weakly Endurance vs sprint energy-system specificity (technique/conditioning mismatch) N/A Sports science heuristics (domain knowledge) Reduced correlation because distance freestyle success is mainly aerobic/threshold endurance and efficiency, whereas sprints/hurdles rely on maximal acceleration, stiffness, and speed skill. Open source
[276] Small positive carry-over from general training habits and coordination General athleticism and coordination transfer (non-specific skill/habits) N/A Sports science heuristics (domain knowledge) Added a small amount since strong swimmers often have good whole-body coordination, limb timing, and practice discipline that can help with learning sprint mechanics and repeated speed sessions. Open source
[277] Aquatic propulsion vs ground-based explosive running mechanics Cyclic vs explosive mechanics specificity penalty N/A Sports science heuristics (domain knowledge) Subtracted further because running sprints/hurdles depend on ground-contact/stride mechanics and reactive stiffness not present in pool front crawl. Open source
[278] Shared overlap: speed/power qualities and neuromuscular learning improve cross-sport performance Authors n/a 2026 Internal reasoning Used to set a moderate positive correlation because both sprint/hurdle running and swimming sprinting build explosive force and fast coordination, especially in training environments that emphasize power. —
[279] Movement-pattern and force-direction specificity limits transfer from water sprint freestyle to track acceleration Authors n/a 2026 Internal reasoning Capped correlation because swimming propulsion and breathing/bracing mechanics differ, and the acceleration phase in sprinting depends on running stride/ground-contact mechanics. —
[280] Endurance/pacing focus in middle-distance can dilute sprint-specific carry-over Authors n/a 2026 Internal reasoning Reduced correlation since the swimmer’s discipline is middle-distance freestyle (pacing/aerobic support) rather than pure sprint events, so fewer sprint-specific adaptations are implied. —
[281] Endurance intensity distribution and adaptation principles (context for why sprint-to-sprint can transfer better than sprint-to-endurance) Seiler, et al. 2000-2020 Endurance sport science literature Used to support that energy-system emphasis matters: sprint-focused backgrounds should transfer more readily to sprint/hurdle demands than to aerobic-heavy events. —
[282] Sprint performance determinants: acceleration, maximal velocity, and force–time characteristics Coh et al. / sprint biomechanics review (representative) 2000-2022 Biomechanics / sport performance reviews Used to ground the mechanisms overlap: sprint events and sprint freestyle both reward rapid force production and stiffness/elastic timing at high intensity. —
[283] Swimming sprint mechanics and start/turn propulsion determinants Pereira et al. (representative) 2000-2022 Aquatic biomechanics / performance research Used to justify that sprint freestyle success reflects explosive mechanics (especially starts and powerful propulsion), which align with sprint/hurdle acceleration qualities. —
[284] Transfer limits of sprint mechanics: what generalizes vs what remains technique-specific Sheppard, et al. 2005-2019 Biomechanics & conditioning research Used to prevent overestimation: sprint/hurdle success depends on running-specific mechanics (ground contacts, posture, hurdle clearance) not taught by swimming. —
[285] Talent development, cross-training, and why correlations have variability Baker, et al. 2010-2020 Sports talent & motor learning literature Used to justify uncertainty/std dev: some athletes adapt quickly to land sprint/hurdle mechanics, others don’t, keeping the average moderate. —
[286] Neuromuscular coordination + fast-twitch recruitment similarity N/A (modeled estimate) 2026 Internal sports-science heuristic Adds a small correlation because both table tennis and sprint/hurdle events benefit from quick explosive bursts, coordination, and rapid force production. Open source
[287] Technique mismatch: racket/ball timing vs sprint mechanics + stiffness N/A (modeled estimate) 2026 Internal sports-science heuristic Reduces correlation because table tennis’s main technical skill is racket/ball interaction and micro-timing, while sprint/hurdle success depends on running mechanics, stiffness, stride length/frequency, and (for hurdles) rhythm over barriers. Open source
[288] Sport-specific practice dominance (end-to-end skill acquisition) N/A (modeled estimate) 2026 Internal sports-science heuristic Further limits carryover since sprint/hurdle technique and conditioning are strongly shaped by event-specific training. Open source
[289] Cross-sport prior (explosive combat → explosive short running) Bayesian prior: combat striking → sprint/hurdle power/speed 2026 Internal reasoning Set a modest positive baseline because both emphasize short, maximal-effort outputs and speed/timing under intensity. Open source
[290] Timing + rapid force development overlap Taekwondo kicking speed & timing (generalized), Sprint acceleration mechanics (generalized) 2026 Internal reasoning Increased correlation: taekwondo success often reflects good coordination for initiating rapid limb actions and generating force quickly—conceptually useful for acceleration. Open source
[291] Stiffness/SSC training similarity (partial) Taekwondo plyometric/rebound patterns (generalized), Sprint stiffness & ground-contact efficiency (generalized) 2026 Internal reasoning Added some weight because many taekwondo programs include explosive, rebound-like drills that correlate with sprint power; still not identical to sprint-specific ground-contact mechanics. Open source
[292] Hurdle technique mismatch Hurdling-specific lead/clearance technique, Taekwondo’s lack of hurdle clearance patterning 2026 Internal reasoning Reduced correlation slightly because the hurdling coordination (lead leg mechanics, clearance posture, rhythm) is largely new and not trained by taekwondo’s kicking/stance patterns. Open source
[293] Learning habits transfer Training mindset/coachability (generalized), Track technical learning and repetition (generalized) 2026 Internal reasoning Kept correlation from being too low: successful taekwondo athletes often show discipline, technical learning speed, and comfort training under high intensity. Open source
[294] Skill and habit transfer across sports depends on shared movement/learning demands General sports-transfer principles (coordination/acceleration) N/A General sports science reviews (high level) Supports a small positive correlation: tennis helps with general neuromuscular coordination, balance, and short explosive bursts during movement, which can slightly aid sprint learning. Open source
[295] Sprinting performance is dominated by acceleration mechanics, stiffness, and power production Sprint determinants (event-specific power and mechanics) N/A Track & field performance synthesis (high level) Limits the correlation: tennis does not specifically train maximal sprint acceleration mechanics (start technique, maximal velocity running mechanics, elastic stiffness) so tennis success won’t strongly predict sprinting. Open source
[296] Previous sport experience can improve early skill acquisition in new motor tasks Motor learning / robustness (varied movement experience) N/A Motor learning literature (high level) Adds a small amount of correlation because athletes with good coordination and learning ability often adapt faster to sprint technique. Open source
[297] Skill/transfer model (endurance + pacing from triathlon vs sprint/hurdle explosive mechanics) N/A (model-based synthesis) 2026 Internal reasoning Estimated low correlation because triathlon’s performance drivers (aerobic endurance, sustained pacing, transition efficiency) overlap weakly with sprint/hurdle determinants (maximal acceleration, reactive/elastic mechanics, high-speed technique, hurdle rhythm). Any positive effect is indirect via general conditioning, coordination, and training discipline; std dev reflects that some triathletes have prior sprint speed work while others don’t. Open source
[298] Transfer mapping: volleyball attacker → sprint/hurdle acceleration events Internal expert-judgment mapping of transferable skill components 2026 Internal synthesis Estimated overlap in technique-relevant elements (explosive lower-body force, approach/start mechanics, coordination of arm action with leg drive, high-intensity output, and competitive timing). Penalized for mismatch in core sprint technique (running mechanics, stiffness/patteming, stride frequency) and hurdle-specific coordination (lead/trail leg timing, clearance rhythm), which volleyball attacker role does not directly teach. Open source
[299] Priors for cross-sport correlation: intermittent power (volleyball) → short explosive running Bayesian prior for intermittent power-skill to short sprint carry-over 2026 Internal Bayesian prior Set a modest positive baseline because both involve repeated maximal or near-maximal bursts and neuromuscular coordination, then adjusted downward to reflect limited transfer of true sprint/hurdle mechanics. Open source
[300] Volleyball libero (fast footwork/reaction) to athletics sprints & hurdles (max acceleration) carry-over estimate (model-based cross-sport skill mapping) 2026 internal model Used to assign a small positive correlation from shared qualities like explosive leg coordination, balance, and fast reaction/foot timing, while heavily discounting because sprint/hurdle success depends on event-specific acceleration mechanics, sprint posture, and hurdling technique not trained by libero play. —
[301] Heuristic-skill transfer estimate for volleyball middle blocker → sprints & hurdles Internal explosive/elastic coordination transfer heuristic (volleyball quick attacks/blocking → sprint mechanics) 2026 Internal model assumptions Estimated moderate-low carry-over from transferable qualities like fast-reacting lower-body power, stiffness/elastic re-use habits, and approach-to-takeoff timing. Reduced because volleyball’s dominant mechanics (blocking/jumping timing in open play) aren’t identical to sprint-specific stride length/ground contact and hurdles rhythm. Open source
[302] Task specificity scaling Bayesian task-structure adjustment (net reactive jumping vs track maximal acceleration) 2026 Internal model assumptions Adjusted downward for technique mismatch: sprint/hurdle success is heavily driven by maximal-velocity mechanics, force application timing, and hurdles form/rhythm—skills not directly trained in volleyball. Open source
[303] General transfer of explosive power/coordination and sprint-start practice across sports (overview) N/A N/A Sports science / coaching consensus (no single study specified) Used to justify a modest positive baseline because both volleyball setting involves short bursts/jumping and sprint/hurdle sprint phases depend on acceleration mechanics and neuromuscular coordination. Open source
[304] Technical mismatch: volleyball setting mechanics vs sprint/hurdle biomechanics (overview) N/A N/A Sports science / coaching consensus (no single study specified) Used to cap the correlation since the dominant learnable determinants of sprints/hurdles (start technique, stride frequency/length, stiffness/elastic use, hurdle clearance mechanics) are not trained in volleyball setting. Open source
[305] General sport skill transfer principles Sports skill transfer/general research synthesis (transfer is partial across dissimilar sports) N/A General sports science knowledge Provides the baseline expectation that technique/skill carry-over across very different sports is small, with some variance. Open source
[306] Wrestling-specific performance contributors Wrestling coaching knowledge (explosive efforts + contact skill) N/A Coaching & applied sports science knowledge Identifies plausible carry-over elements: repeated explosive bursts, body tension/coordination, and maintaining mechanics under physical stress—helpful for sprints but not decisive for sprint-specific technique. Open source
[307] Sprints and hurdles performance contributors Sprint/hurdle coaching knowledge N/A Coaching & applied sports science knowledge Identifies dominant determinants for sprint/hurdle success: maximal acceleration technique, stiffness/plyometric use, sprint mechanics, and (for hurdles) hurdle clearance rhythm—mostly unrelated to wrestling skills. Open source