Public evidence page

Ice hockey - Goalkeeper

Sport

Sport: Ice hockey

Position: Goalkeeper

Athletes' bodies

Elite male ice hockey goalkeepers (goaltenders) typically favor tall stature and long reach to increase net coverage (reduced visible target area), combined with enough mass to stabilize the torso/hips during lateral pushes and butterfly-style saves. Compared with skaters, the optimal profile is modeled with a higher height and arm span, while still keeping joint laxity relatively low-to-medium for consistent force transfer during rapid direction changes.

Cohort

Sex: Male

Level: Elite

Quick glossary

Prior: Model estimate before updating with the current evidence; the starting baseline.
Posterior: Model-updated estimate after combining prior evidence with observed data.
Standard deviation: Spread around the estimate; lower means tighter expected range.
Alignment: How well a goal/preference/injury profile matches this body pattern.

Measurements

Factor	Prior	Posterior	Success-impact	Reasoning behind prior	Prior estimate sources
Arm span	195 ± 6.5 cm	195 ± 6.5 cm	high	Goalies are modeled with long reach; arm span is set meaningfully above height and corresponds to net-coverage rationale for stretching/upper-body coverage during glove/blocker saves.	[1] [2]
Height	190 ± 6.5 cm	190 ± 6.5 cm	high	Goalies are modeled as meaningfully taller than other positions due to strong positional somatic trends reported in elite comparisons, while the SD remains moderate because elite nets require both reach and athletic mobility (not all goalies are extreme height).	[3] [4]
Weight	92 ± 9 kg	92 ± 9 kg	high	Goalies benefit from higher mass/torso stability for bracing and rebound control in saves (especially while dropping to the ice), but the model keeps mass only moderately high to avoid excessive acceleration penalties.	[3] [5]
Ankle circumference	22.5 ± 1.8 cm	22.5 ± 1.8 cm	medium	Goalies make frequent lateral pushes and recoveries from low stances; ankle/boot stiffness tolerance supports repeatable edge mechanics and reduces technique breakdown.	[6]
Ape index	1.03 ± 0.03 ratio	1.03 ± 0.03 ratio	medium	A slightly high ape index aligns with goalie reach demands without forcing extreme limb disproportions.	[2] [7]
Leg inseam	90 ± 4.8 cm	90 ± 4.8 cm	medium	Longer legs support stride length and push-off mechanics for lateral positioning and recovery after butterflies/angles; SD reflects that elite goalies also include some more compact-but-athletic builds.	[8]
Leg-torso ratio	1.42 ± 0.13 ratio	1.42 ± 0.13 ratio	medium	A moderately leg-favored profile supports efficient lateral push mechanics and recovery speed from deep stances; SD reflects diverse goalie body types.	[9]
Shoulder width	45 ± 3.2 cm	45 ± 3.2 cm	medium	A broader upper body helps with glove/blocker reach and torso rigidity during lateral drops; however, goalie performance is more strongly linked to height/reach and movement skill than shoulder width alone.	[10]
Torso length	63.5 ± 4.5 cm	63.5 ± 4.5 cm	medium	Torso length influences ability to maintain an effective “net cover posture” (upright reach vs butterfly compactness) and stability while tracking pucks.	[8]
Foot length	28 ± 1.6 cm	28 ± 1.6 cm	low	Foot size is mainly equipment fit; goalie performance depends more on edge control and lateral power than on foot-length per se.	[11]
Hand length	21 ± 1.2 cm	21 ± 1.2 cm	low	Hand length may matter marginally for glove size and stick/goalie equipment fit, but in this spec it’s low importance relative to reach (arm span), positioning, and reaction capability.	[11]
Pelvic bone width	28.5 ± 2.6 cm	28.5 ± 2.6 cm	low	Pelvic breadth supports ratio completeness; contact forces and save mechanics depend more on neuromuscular control than on bone width itself.	[12]
Shoulder-hip ratio	1.58 ± 0.09 ratio	1.58 ± 0.09 ratio	low	This ratio is treated as a shape descriptor for torso bracing postures; evidence that it independently predicts goalie success is limited.	[13]
Wrist circumference	16.5 ± 1.4 cm	16.5 ± 1.4 cm	low	Wrist circumference may relate weakly to glove/stick-hand biomechanics, but the dominant determinant is largely reaction, positioning, and equipment fit.	[6]

Traits

Factor	Value	Impact	Reasoning	Sources
Muscle fiber profile	balanced	high	Goalies need explosive power (butterfly bursts, lateral shuffles, quick push-offs) while also requiring aerobic/oxidative support to recover between sequences over long shifts and games; hence balanced is optimal.	[14]
Metabolic tendency	mesomorphic tendency	medium	The goalie profile needs functional strength and power (mesomorphic tendency) but also must remain mobile enough for rapid repositioning; extremely endomorph-heavy profiles would likely impair movement efficiency.	[15]
Joint laxity	low	high	Goalies repeatedly drop low, push laterally, and rotate through stiff braced positions; lower laxity supports reliable force transfer and reduces technique breakdown when tracking and reacting at high speed.	[16]
Foot arch	neutral arch	medium	Neutral arch is chosen as a pragmatic ‘optimal default’ to support edge stability and impact attenuation across variable ice conditions; some individuals will be high/low arch but it’s not strongly enough evidenced position-wise here.	[17]
Temperature tolerance	balanced	low	All players are exposed to cold environments; positional specialization doesn’t justify a strong deviation in this parameter.	[18]
Dominant side	no meaningful side advantage	low	Kept neutral with low importance because goalie effectiveness is more about technique, positioning, and reaction timing than an inherent left/right dominance advantage in the available evidence.	[19]

Goals

Factor	Alignment	Reasoning	Sources
Build confidence	medium	Goalies have clear performance feedback (saves, goals against, positioning improvements) and they can build confidence quickly when they learn technique and reading skills. But the role is also high-visibility and can be mentally punishing after goals, so confidence growth is moderate rather than guaranteed.	[20] [21]
Build endurance	low	Goaltending is dominated by repeated high-intensity bursts and brief recovery periods in the crease. That can improve your ability to repeat efforts and stay mentally/physically ready, but it’s not typically the same training stimulus as long-duration or steady aerobic endurance work—so endurance-building is usually only a secondary benefit.	[20] [22]
Build strength and power	high	Goalies rely heavily on strong legs and hips for explosive pushing/lateral slides, plus shoulder/arm strength for covering and catching/deflecting. Because saves require sudden force production and bracing in extreme positions, the role matches strength and power development well.	[20] [21]
Challenge myself	high	Being a goalie is one of the more mentally and physically demanding roles: you need sharp reflexes, repeated explosive movement, and the ability to recover quickly after goals/rebounds. For most amateurs, it’s a meaningful challenge with clear skill hurdles.	[20] [21]
Compete and measure myself	high	Goalies compete directly and have clear measurable outcomes: saves, goals against, shutouts (if applicable), and also skill indicators coaches use (positioning quality, reaction/coverage execution). Even at the amateur level, it’s straightforward to compare performance game-to-game and season-to-season.	[20] [23]
Improve agility and coordination	high	Goaltending is very coordination-heavy: staying square in the crease, tracking the puck, moving laterally with good body alignment, and re-positioning quickly after each save attempt. The position strongly trains coordination between eyes (tracking), feet (edge control), and upper body (hands/catching).	[20] [21]
Improve balance and control	high	Balance is one of the goalie’s main requirements: maintaining stable stance while moving, absorbing contact or awkward landings, and staying controlled in extreme positions (butterfly, lateral pushes, recovering to ready stance). Repetition makes balance/control one of the strongest matches.	[20] [21]
Improve flexibility and mobility	medium	Goalies often end up in large-range positions (drops, splits-like stances, reaching across the body). That can improve functional mobility over time, but it’s not the sport’s main training intent; mobility gains depend on whether you also do dedicated stretching or mobility work.	[20] [21]
Improve general health and fitness	medium	A hockey goaltender gets bursts of very intense effort (rapid movements, saves, lateral pushes) plus lower-intensity “active readiness” in between. That builds fitness, but because the position doesn’t involve constant whole-team skating like skaters, it’s usually somewhat less of an all-day cardiovascular conditioning driver than playing regular shifts as a skater.	[20] [24]
Improve speed and explosiveness	high	Even though a goalie doesn’t skate like an attacker, the position requires quick reactive bursts: the first step into a save, explosive lateral movement, and fast recovery to set position again. That makes it a very good fit for improving explosiveness and “first movement” speed.	[20] [23]
Learn new skills and master technique	high	Goaltending is extremely technique-driven: stance/butterfly mechanics, tracking and timing, coverage angles, reading shooters, and controlling rebounds. Amateur goalies can improve a lot with coaching and repetition, making this position a strong match for mastering technique.	[20] [21]
Lose weight	low	Goalies can burn energy and work hard during games, but the workload is often less continuous than for skaters (you’re not constantly repeating full-ice skating shifts). For weight loss, diet and total weekly activity usually matter more; as a result, goalkeeping is a weaker primary match than more movement-heavy roles.	[20] [25]
Make friends and feel a sense of belonging	medium	Goalie is still part of the team, and you typically get strong bond-building with your defense and coaches. However, goalies may spend more time isolated in the crease compared with skaters who share more constant play moments, so social belonging is moderate rather than high.	[20] [24]
Reduce stress and feel better	low	Some people feel great after intense competition, but goaltending is also uniquely high-pressure: you face near-constant threat moments, and mistakes can be very costly. For stress relief, this can go either way; overall it’s not as reliably calming as lower-stakes or steadier activities.	[20] [26]
Spend time with people I care about	low	While you’ll absolutely interact with teammates around practices/games, the goalie’s active moments require intense focus and rapid reactions. That makes it less aligned with “talk while you do it” social time.	[20]

Preferences

Factor	Alignment	Reasoning	Sources
Competition-focused environment	high	Goaltenders are judged very directly (goals against, saves, shutouts), and the role is central in most competitive formats—so the culture is typically competition-forward even at amateur levels.	[27] [28]
Enjoys contact	medium	You don’t seek body-checking as a goalie, but you must be comfortable with physical impact from pucks, skating in traffic, and dealing with collisions at/near the crease.	[27] [29]
Flexible Time Table	low	Some solo practice is possible (reaction drills, dryland work, stick/gear familiarization), but actual goaltending training and meaningful practice usually require scheduled ice time and organized teammates/shots.	[28] [30]
Indoor setting	high	Ice hockey is played on an ice rink, which is typically an indoor arena with controlled conditions.	[28]
Long steady efforts	low	Goalies don’t usually maintain steady endurance at the same intensity continuously; instead they alternate between relatively still positioning and sudden bursts for saves and recoveries.	[27]
Low impact on joints	low	Goalies may not skate full-ice like skaters, but they do repeatedly drop, scramble, push off hard laterally, and face falls/impacts. That’s usually not “low-impact on joints.”	[27] [31]
Mostly individual	medium	A goalie is highly “individual” during each save (reflexes, positioning, coverage), but their overall effectiveness also depends on communicating with teammates and responding to the team’s defensive decisions.	[27]
Non-contact	low	Goalies typically have extensive protection, but they still face collisions indirectly (players crashing into the net/crease area, traffic screening the goalie, and accidental contact during rebounds). The role is not “non-contact.”	[27] [32]
Outdoor setting	none	Because the play requires an ice rink/ice surface and equipment setup, it’s not normally an outdoor sport.	[28]
Playful recreational atmosphere	medium	You can play goal tender recreationally, but the emotional intensity can be high—each shot is high-stakes for the team. It’s usually less “light and goofy” than very low-contact, low-stakes sports.	[27] [32]
Routine and structure	high	The goalie role has clear, repeatable structure: you stay near the crease, use set movement patterns (get-set-ready, drop into coverage positions, recover), and you train with systematic save drills.	[27] [30]
Short explosive efforts	high	Goalie saves are dominated by quick, explosive movements—getting into position fast, reacting instantly, and pushing/throwing limbs to cover angles.	[27] [33]
Tactical and strategic	medium	There is strategy (reading shooters, managing angles, controlling rebounds, communicating coverage), but the job is often decided by immediate positioning and reaction rather than long sequences of planning.	[27] [30]
Team environment	high	Even though the goaltender is the last line of defense, the position depends on the team’s defensive structure—who’s pressuring, how defenders cover the slot, and how the team handles rebounds and breakouts.	[27] [28]
Technique-heavy	high	Goaltending is extremely technique-driven: stance, butterfly/positioning choices, rebound control, tracking, and disciplined movement within the crease all matter a lot for results.	[27] [29] [34]
Variety and novelty	medium	Shots and situations vary (angles, distances, deflections, breakaways, rebounds), but you’re still mostly working inside a limited area (the crease). So variety is moderate, not maximal.	[27] [29]
Water environment	none	There’s no water environment component; it’s an ice/arena sport.	[28]

Injuries

Risk

Factor	Value	Definition	Full reasoning	Sources
Achilles tendon pain (tendinopathy)	low	Pain and irritation in the Achilles tendon at the back of the ankle.	Ice-hockey goalie mechanics include frequent lower-limb loading and rapid position changes. Achilles tendinopathy is plausible, but goalie-specific evidence in the retrieved sources more strongly emphasizes hip/groin risk and high-ankle-type mechanisms; so Achilles tendinopathy risk is set to low (not none).	[35]
ACL injury	low	A major ligament injury inside the knee, often linked to pivoting, landing, or sudden deceleration.	The sources retrieved for this goalie-specific pass strongly emphasized hip/groin and ankle/lower-leg mechanisms. While ACL injury is possible for any skater/athlete, the goalie-specific risk level for ACL isn’t directly established here, so it’s set low rather than medium/high.	[36]
Ankle sprain	medium	A stretched or torn ankle ligament, usually after the foot rolls awkwardly.	A clinical review for ice hockey notes that the most common lower-leg injury involves a distal tibiofibular syndesmotic complex (“high ankle” sprain), and discusses the high incidence of high ankle sprains in hockey due to the rigid boot and skating mechanics. That supports meaningful ankle/ankle-syndesmosis risk in hockey goalies; set medium overall for ankle sprain risk.	[35] [37]
Calf strain	low	A pulled or overloaded calf muscle, often felt during pushing off, sprinting, or jumping.	Lower-leg mechanisms in hockey are present, but without evidence for calf-strain dominance in goalies, risk remains low.	[35]
Finger or hand impact injury	low	Pain from jamming, bending, or striking the fingers or hand during sport.	No strong goalie-specific hand-impact injury prevalence was retrieved here. Based on plausibility of impact but lacking strong evidence for dominance, risk remains low.	—
General forearm overuse pain	none	Ongoing forearm pain from repeated gripping, lifting, or arm use when the exact tendon is unclear.	Goaltender injury discussions in the sport more often emphasize hip/groin, back, knee/ankle/foot (including high-ankle/syndesmotic-type mechanisms), and shoulder complex issues. Forearm-only overuse isn’t repeatedly singled out as a signature goalie diagnosis, so RISK is set to none.	[35]
General foot or ankle pain	medium	Ongoing foot or ankle pain when the exact structure or diagnosis is unclear.	Ice-hockey medical literature highlights a common lower-leg injury pattern involving distal tibiofibular syndesmosis (“high ankle” sprain), implying that foot/ankle problems are a meaningful injury category in hockey. That supports medium risk for generalized foot/ankle pain for goalies.	[35]
General hip or groin pain	high	Ongoing hip or groin pain when the exact structure or diagnosis is unclear.	A goalie-specific risk statement is included in an ice-hockey physical therapy management review: goaltenders’ prolonged hip internal rotation may place them at higher risk of hip pathology than other positions. Additionally, a separate professional goalie/hip pathology review (ScienceDirect) describes hip and groin injuries as among the most common sports-related injuries for hockey goaltenders. Together, that strongly supports high risk for general hip/groin pain in goalies.	[35] [38]
General knee pain	medium	Ongoing knee pain when the exact structure or diagnosis is unclear.	General professional hockey injury trend data indicates knee was among commonly injured body regions for goalies. Additionally, the goalie stance repeatedly loads the knee joint. This supports medium risk for general knee pain in goalkeepers.	[36]
General lower-back pain	medium	Ongoing lower-back pain when the exact source is unclear.	While our goalie-specific sources for this response didn’t provide a precise low-back risk number, the general ice-hockey injury management review and broader injury-region pattern in hockey indicate trunk/back issues are relevant. Given the bracing/postural demands of the crease, medium risk is appropriate rather than none/high.	[35]
General lower-leg pain	medium	Ongoing shin or calf pain when the exact diagnosis is unclear.	The ice hockey physical therapy review highlights that the most common lower-leg injury involves the distal tibiofibular syndesmotic complex (“high ankle” sprain). This suggests lower-leg/ankle-region pain is a meaningful risk category; hence medium risk for general lower-leg pain.	[35]
General shoulder pain	medium	Ongoing shoulder pain when the exact structure or diagnosis is unclear.	The ice hockey physical therapy review recommends global shoulder/rotator cuff strengthening programs for ice hockey participants as pre-habilitation to decrease prevalence of shoulder complex injuries. That indicates shoulder complex injuries are sufficiently common to target prevention, supporting medium risk for general shoulder pain in goalies.	[35]
General wrist or hand pain	low	Ongoing wrist or hand pain when the exact structure or diagnosis is unclear.	With limited goalie-specific evidence for wrist/hand pain dominance, risk is low.	—
Golfer's elbow	none	Pain on the inside of the elbow linked to overload in the forearm tendons.	While goaltending involves gripping/hand work, the main goalie injury patterns discussed in the available evidence emphasize other regions (shoulder complex, hip/groin, lower leg/ankle, etc.). With no strong support for golfer’s elbow as a common goalie-specific issue, RISK is none.	[35]
Groin strain	medium	A pulled or irritated groin muscle, often felt in cutting, sprinting, or kicking movements.	Goalie-specific sources strongly support hip/groin injury relevance, but they do not specifically quantify groin strain as the single dominant diagnosis. So risk is medium rather than high for groin strain specifically.	[35] [38]
Hip flexor strain	medium	A strain or overload in the front-of-hip muscles that help lift the leg.	The goalie literature emphasizes prolonged hip internal rotation and hip pathology risk; hip flexors are closely involved in those positions/mechanics. However, because “hip flexor strain” is more specific than the sources’ broader hip/groin injury emphasis, risk is medium rather than high.	[35] [38]
Side-of-hip tendon pain	medium	Irritation of the hip or gluteal tendons around the outer side of the hip.	Because the evidence most directly supports hip pathology/hip-groin risk in goalies, glute/hip tendinopathy is plausible but cannot be confirmed as the single most common subtype from the retrieved sources. Hence medium risk.	[35]
Lower-back disc irritation	low	Lower-back pain that may involve irritation of a spinal disc and sometimes pain spreading into the leg.	Because we didn’t retrieve disc-specific injury prevalence for goalies, and disc irritation would be a more specific label than general low-back pain, we keep risk low rather than medium/high.	[35]
Mechanical lower-back pain	medium	Common lower-back pain related to movement, loading, stiffness, or irritated supporting tissues.	Given posture demands and general ice-hockey back injury relevance, mechanical low-back pain should be non-zero. Without disc-specific dominance, medium is set rather than high.	[35]
Meniscus injury	low	Irritation or tearing of the knee cartilage that helps cushion and stabilize the joint.	Knee injury is plausible and common in goalies, but meniscus-specific incidence dominance wasn’t clearly extracted. So risk is set low rather than medium/high.	[36]
Jumper's knee (patellar tendinopathy)	low	Pain and irritation in the tendon just below the kneecap.	Knee loading is relevant; however, tendinopathy at the patellar tendon specifically isn’t highlighted as dominant in the goalie injury materials retrieved. Thus low risk.	[35]
Front-of-knee pain (patellofemoral pain)	low	Pain around or behind the kneecap that often flares with repetitive knee bending.	Plausibility is present because knee flexion loads occur in the crease, but without stronger evidence tying patellofemoral pain specifically to goalie injury prevalence, risk is low.	[35]
Heel pain (plantar fasciitis)	none	Irritation of the tissue under the foot that often causes pain near the heel.	We have strong support for general foot/ankle injury relevance and “high ankle” mechanisms in hockey, but not specific plantar-fasciitis dominance. To avoid unjustified specificity, plantar fasciitis risk is set to none.	[35]
Rotator cuff irritation	medium	Pain and overload in the shoulder muscles and tendons that help control arm movement.	The ice hockey physical therapy review explicitly calls for rotator cuff strengthening/pre-habilitation for ice hockey participants to decrease prevalence of shoulder complex injuries. That supports cuff irritation risk as part of the shoulder injury spectrum, rated medium.	[35]
Shin splints	none	Exercise-related pain along the shin that often appears when impact load rises too quickly.	We have strong evidence for ankle/high-ankle-type lower-leg mechanisms, but not for shin splints being specifically common among goalies. Therefore default to none.	[35]
Shoulder impingement-type pain	low	Shoulder pain that appears when tissues feel pinched or irritated during arm elevation.	Since the evidence supports shoulder complex injuries generally (including rotator cuff/shoulder) but doesn’t provide strong specificity for impingement as a common goalie issue, risk is set low.	[35]
Shoulder instability or dislocation	low	A shoulder that has slipped out, partly slipped out, or feels unreliable in vulnerable positions.	The retrieved sources emphasize shoulder complex injuries but don’t provide strong evidence that instability/dislocation is common among goalies. So risk is low.	[35]
Back stress reaction (spondylolysis)	low	A stress injury in the back often linked to repeated extension and rotation loading.	Without strong goalie-specific prevalence data for spondylolysis, and because moderate couple-times/week adult-style play likely doesn’t automatically translate to high spondylolysis risk, risk is set low.	[39]
Tennis elbow	none	Pain on the outside of the elbow linked to overload in the wrist and forearm tendons.	The evidence pulled for goalie injury patterns focuses on other areas; without support for tennis elbow being common in goalies, RISK is none.	[35]
Shin bone stress injury	low	Stress irritation in the tibia from repeated impact that has outpaced recovery.	Because we didn’t find goalie-specific tibial stress injury prevalence in the retrieved material, we keep risk low rather than medium/high.	[39]
Wrist sprain	low	A stretched or irritated wrist ligament, often after a fall, impact, or awkward bend.	Given lack of strong evidence for wrist sprain dominance, default to low risk rather than none.	—
Wrist tendon pain	none	Irritation of wrist tendons from repeated gripping, racquet use, lifting, or supporting body weight.	Without supportive evidence, keep to default 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.	Regular goalie loading can adapt the calf/Achilles, but hockey is not a controlled tendon rehab program. Without assuming additional targeted work, prevention is low.	—
ACL injury	none	A major ligament injury inside the knee, often linked to pivoting, landing, or sudden deceleration.	No evidence that merely playing goalie provides ACL-specific preventive adaptation strong enough for a non-none prevention rating; set to none.	—
Ankle sprain	low	A stretched or torn ankle ligament, usually after the foot rolls awkwardly.	Because hockey creates repeated exposure to sprain mechanisms (even if it improves some coordination), and we’re not assuming additional ankle-prehab programs, net prevention is low.	—
Calf strain	low	A pulled or overloaded calf muscle, often felt during pushing off, sprinting, or jumping.	Low prevention.	—
Finger or hand impact injury	none	Pain from jamming, bending, or striking the fingers or hand during sport.	Therefore prevention none.	—
General forearm overuse pain	none	Ongoing forearm pain from repeated gripping, lifting, or arm use when the exact tendon is unclear.	Without assuming extra off-ice forearm loading/conditioning, hockey practice alone isn’t a dependable forearm-overuse prevention lever.	—
General foot or ankle pain	low	Ongoing foot or ankle pain when the exact structure or diagnosis is unclear.	Without assuming specific off-ice foot/ankle strengthening or load-management, the prevention effect from play alone is limited, so low.	—
General hip or groin pain	low	Ongoing hip or groin pain when the exact structure or diagnosis is unclear.	Because the position itself is a risk driver, net prevention from playing alone is unlikely to be strong. With no assumption of additional hip-prehab work, prevention is low.	—
General knee pain	low	Ongoing knee pain when the exact structure or diagnosis is unclear.	Because net effect from play alone is ambiguous and the position is stressful, prevention is low.	—
General lower-back pain	low	Ongoing lower-back pain when the exact source is unclear.	Net prevention from play alone is limited; low prevention.	—
General lower-leg pain	low	Ongoing shin or calf pain when the exact diagnosis is unclear.	Net prevention effect from playing alone is low.	—
General shoulder pain	low	Ongoing shoulder pain when the exact structure or diagnosis is unclear.	Without assuming specific shoulder prehab beyond normal play, net prevention from sport alone is limited; low.	—
General wrist or hand pain	none	Ongoing wrist or hand pain when the exact structure or diagnosis is unclear.	Set prevention none.	—
Golfer's elbow	none	Pain on the inside of the elbow linked to overload in the forearm tendons.	Prevention would require specific progressive tendon loading/technique changes; play alone isn’t enough. Set to none.	—
Groin strain	low	A pulled or irritated groin muscle, often felt in cutting, sprinting, or kicking movements.	Net prevention effect from playing alone is limited (position is both conditioning and risk exposure). Low prevention.	—
Hip flexor strain	low	A strain or overload in the front-of-hip muscles that help lift the leg.	Without assuming targeted hip-flexor strengthening/mobility beyond normal play, prevention is low.	—
Side-of-hip tendon pain	low	Irritation of the hip or gluteal tendons around the outer side of the hip.	Net prevention from play alone is limited; low prevention.	—
Lower-back disc irritation	none	Lower-back pain that may involve irritation of a spinal disc and sometimes pain spreading into the leg.	Set prevention to none without evidence for a sport-only prevention effect.	—
Mechanical lower-back pain	low	Common lower-back pain related to movement, loading, stiffness, or irritated supporting tissues.	Therefore low prevention.	—
Meniscus injury	none	Irritation or tearing of the knee cartilage that helps cushion and stabilize the joint.	Set prevention to none due to lack of evidence for a sport-only prevention effect.	—
Jumper's knee (patellar tendinopathy)	low	Pain and irritation in the tendon just below the kneecap.	Without targeted tendon-program assumptions, prevention remains low.	—
Front-of-knee pain (patellofemoral pain)	none	Pain around or behind the kneecap that often flares with repetitive knee bending.	Set to none for prevention without evidence of sport-only prevention effect.	—
Heel pain (plantar fasciitis)	none	Irritation of the tissue under the foot that often causes pain near the heel.	Without targeted progressive foot/ankle conditioning, set prevention to none.	—
Rotator cuff irritation	low	Pain and overload in the shoulder muscles and tendons that help control arm movement.	Because targeted rotator cuff/prehab isn’t assumed beyond normal play, prevention is low, not medium/high.	—
Shin splints	none	Exercise-related pain along the shin that often appears when impact load rises too quickly.	Set to none.	—
Shoulder impingement-type pain	none	Shoulder pain that appears when tissues feel pinched or irritated during arm elevation.	Therefore prevention none.	—
Shoulder instability or dislocation	none	A shoulder that has slipped out, partly slipped out, or feels unreliable in vulnerable positions.	Set prevention none.	—
Back stress reaction (spondylolysis)	none	A stress injury in the back often linked to repeated extension and rotation loading.	Set to none for prevention without evidence.	—
Tennis elbow	none	Pain on the outside of the elbow linked to overload in the wrist and forearm tendons.	Without targeted tendon-capacity work, no dependable prevention mechanism from sport practice alone. Set to none.	—
Shin bone stress injury	none	Stress irritation in the tibia from repeated impact that has outpaced recovery.	So prevention none.	—
Wrist sprain	none	A stretched or irritated wrist ligament, often after a fall, impact, or awkward bend.	Set prevention none.	—
Wrist tendon pain	none	Irritation of wrist tendons from repeated gripping, racquet use, lifting, or supporting body weight.	Set prevention 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.	Because we can’t assume rehab/load-management outside regular practice, the healing benefit from continuing goalie play alone is uncertain; set to low rather than medium/high.	—
ACL injury	none	A major ligament injury inside the knee, often linked to pivoting, landing, or sudden deceleration.	Heal none because no evidence suggests ongoing play alone heals ACL injury and it can worsen instability/safety concerns.	—
Ankle sprain	none	A stretched or torn ankle ligament, usually after the foot rolls awkwardly.	No evidence that normal goalie play alone reliably improves healing of an ankle sprain; heal set to none.	—
Calf strain	none	A pulled or overloaded calf muscle, often felt during pushing off, sprinting, or jumping.	No evidence that goalie play alone heals calf strains; heal none.	—
Finger or hand impact injury	none	Pain from jamming, bending, or striking the fingers or hand during sport.	Heal none.	—
General forearm overuse pain	none	Ongoing forearm pain from repeated gripping, lifting, or arm use when the exact tendon is unclear.	No strong evidence that normal goalie practice alone improves forearm overuse healing; continuing exposure can also irritate. Therefore heal is none.	—
General foot or ankle pain	none	Ongoing foot or ankle pain when the exact structure or diagnosis is unclear.	No evidence that continuing goalie practice alone is a healing factor for generalized foot/ankle pain; heal none.	—
General hip or groin pain	none	Ongoing hip or groin pain when the exact structure or diagnosis is unclear.	No evidence that regular goalie play alone reliably heals hip/groin pain; it may also aggravate. Therefore heal is none.	—
General knee pain	none	Ongoing knee pain when the exact structure or diagnosis is unclear.	No evidence that goalie play alone improves healing of existing knee pain; heal none.	—
General lower-back pain	none	Ongoing lower-back pain when the exact source is unclear.	No evidence that normal goalie practice alone heals existing low-back pain; heal none.	—
General lower-leg pain	none	Ongoing shin or calf pain when the exact diagnosis is unclear.	No evidence that regular goalie practice alone heals existing lower-leg pain; heal none.	—
General shoulder pain	none	Ongoing shoulder pain when the exact structure or diagnosis is unclear.	No evidence that normal goalie practice alone heals shoulder pain; heal none.	—
General wrist or hand pain	none	Ongoing wrist or hand pain when the exact structure or diagnosis is unclear.	Heal none.	—
Golfer's elbow	none	Pain on the inside of the elbow linked to overload in the forearm tendons.	No evidence that normal goalie practice alone heals golfer’s elbow; heal none.	—
Groin strain	none	A pulled or irritated groin muscle, often felt in cutting, sprinting, or kicking movements.	No evidence that goalie practice alone heals groin strains; set heal to none.	—
Hip flexor strain	none	A strain or overload in the front-of-hip muscles that help lift the leg.	No evidence that goalie practice alone heals hip flexor strains; heal none.	—
Side-of-hip tendon pain	none	Irritation of the hip or gluteal tendons around the outer side of the hip.	No evidence that normal play alone heals hip/glute tendinopathy; heal none.	—
Lower-back disc irritation	none	Lower-back pain that may involve irritation of a spinal disc and sometimes pain spreading into the leg.	No evidence that goalie practice alone heals disc irritation; heal none.	—
Mechanical lower-back pain	none	Common lower-back pain related to movement, loading, stiffness, or irritated supporting tissues.	No evidence that goalie practice alone heals existing mechanical low-back pain; heal none.	—
Meniscus injury	none	Irritation or tearing of the knee cartilage that helps cushion and stabilize the joint.	No evidence that goalie practice alone heals meniscus injury; heal none.	—
Jumper's knee (patellar tendinopathy)	none	Pain and irritation in the tendon just below the kneecap.	No evidence that play alone reliably heals patellar tendinopathy; heal none.	—
Front-of-knee pain (patellofemoral pain)	none	Pain around or behind the kneecap that often flares with repetitive knee bending.	No evidence that practice alone heals patellofemoral pain; heal none.	—
Heel pain (plantar fasciitis)	none	Irritation of the tissue under the foot that often causes pain near the heel.	No evidence that practice alone heals plantar fasciitis; heal none.	—
Rotator cuff irritation	none	Pain and overload in the shoulder muscles and tendons that help control arm movement.	No evidence that goalie play alone heals rotator cuff irritation; heal none.	—
Shin splints	none	Exercise-related pain along the shin that often appears when impact load rises too quickly.	Heal none.	—
Shoulder impingement-type pain	none	Shoulder pain that appears when tissues feel pinched or irritated during arm elevation.	No evidence that goalie play alone heals impingement; heal none.	—
Shoulder instability or dislocation	none	A shoulder that has slipped out, partly slipped out, or feels unreliable in vulnerable positions.	Heal none.	—
Back stress reaction (spondylolysis)	none	A stress injury in the back often linked to repeated extension and rotation loading.	Heal none.	—
Tennis elbow	none	Pain on the outside of the elbow linked to overload in the wrist and forearm tendons.	No evidence that goalie practice alone accelerates healing of lateral elbow tendinopathy; heal none.	—
Shin bone stress injury	none	Stress irritation in the tibia from repeated impact that has outpaced recovery.	Heal none.	—
Wrist sprain	none	A stretched or irritated wrist ligament, often after a fall, impact, or awkward bend.	Heal none.	—
Wrist tendon pain	none	Irritation of wrist tendons from repeated gripping, racquet use, lifting, or supporting body weight.	Heal none.	—

Past-sport transfer logic

Past sport	Average correlation (success)	Std dev	Correlation reasoning	Correlation sources
american-football-defensive-back	0.1	0.09	Carry-over from American football defensive back success to ice hockey goaltender success should be weakly positive. There is some shared defensive athleticism (fast reactions, anticipation, getting positioned quickly). However, goaltender performance is heavily limited by ice-specific skating/stance mechanics and highly technique-specific puck/shooting save skills plus a different perceptual cue set (shot release/rebound reading vs coverage of routes/space). These specificity gaps keep the correlation low with meaningful individual variation.	[40] [41] [42] [43] [44]
american-football-line-player	0.29	0.14	We estimate the correlation between past success as an American-football line player and future success as an ice-hockey goalkeeper. Why correlation should be positive (pushes r up): - Both roles are defensive, high-pressure, and operate in fast, opponent-driven stimulus environments where perceptual pickup + rapid decision execution matter. - Football evidence suggests shared visual/peripheral and reaction-related capabilities exist across positions (not only in specialized “skill” roles), making non-zero carryover plausible. - Ice-hockey goaltending success is strongly linked to visual attentional control (e.g., quiet-eye behavior) and gaze behavior in relevant time windows; that kind of perceptual control can plausibly benefit athletes coming from other reactive sports. Why correlation should not be high (pulls r down): - Ice-hockey goaltending depends heavily on sport-specific action systems: skating/positioning in the crease, tracking puck trajectories in ice-specific contexts, and mastering save/block mechanics under constraint. - Transfer literature indicates that when affordances and action dynamics differ, cross-sport prediction weakens: football line engagement doesn’t directly train puck-angle-specific movement timing. Bayesian point estimate: Start from a moderate base (>0) due to shared perceptual/decision demands, then discount for large motor/affordance specificity between line contact play and crease/puck mechanics. That yields r ≈ 0.29 with substantial uncertainty (~0.14).	[45] [46] [47] [48]
american-football-linebacker-tight-end	0.16	0.1	Linebacker/tight end success should correlate weakly to moderately with ice hockey goaltender success because both are high-pressure defensive roles that require: rapid anticipation/decision-making, excellent body control while under stress, and the ability to stay effective during chaotic, high-impact moments. However, goaltender performance is heavily dominated by goalie-specific perceptual-motor and technique elements: skating in specific goalie stances, tracking the puck at speed, and executing save mechanics (butterfly drops, glove/pad positioning, rebound control, and angle coverage). Those technical determinants are not primary outputs of linebacker/tight end training, which emphasizes tackling/blocking leverage and short explosive bursts in traffic. Therefore carryover is positive but limited: football athletic/deferred-attention and defensive instincts may help, but most variance in goalie results comes from hockey-specific save mechanics and practice repetition.	[49] [50] [51]
american-football-quarterback	0.32	0.14	Let success(past)=QB success and success(future)=ice-hockey goalkeeper success (ignoring body-size traits). Correlation drivers: 1) Positive/shared: both are time-pressured, open-skill, adversarial roles where performance depends on extracting early information from the opponent/ball trajectory and acting with efficient visuomotor timing. Ice-hockey goaltending evidence emphasizes puck-directed gaze/quiet-eye-like fixation and predictive tracking as key to expert performance, which maps naturally to QB ‘field vision’ and pre-throw/read behavior. 2) Shared attention/anticipation mechanisms provide meaningful transfer, but not a dominant one. Correlation limiters (reduce the correlation): - Goaltending includes large sport- and equipment-specific motor/skill bottlenecks (crease positioning, stick/leg mechanics, save types, angle management, and reaction-to-shot constraints). QB throwing/pocket movement does not directly create these. - Far-transfer of general perceptual/cognitive traits across sports is often limited; therefore, even with perceptual overlap, a moderate ceiling is appropriate. Bayesian synthesis: start with a modest baseline transfer (~0.20–0.26) for dissimilar sports with some shared ‘read-and-react’ component. Increase because multiple sources explicitly connect goaltending expertise to gaze/anticipation and efficient tracking (push upward to ~0.28–0.36). Keep uncertainty large because the residual depends strongly on how much of the QB’s success is driven by general athletic reflex/processing vs arm/throwing mechanics, and on the amount of goalie-specific practice after switching. Posterior mean ~0.32; std dev ~0.14.	[52] [53] [54] [55] [56]
american-football-receiver-running-back	0.11	0.08	Receiver/running back performance should correlate slightly with ice hockey goalkeeper success because both require (1) tracking fast-moving objects, (2) reacting quickly, (3) explosive movement to close or cover space, and (4) strong balance/coordination when forced to change body position rapidly. However, goalie success depends much more on hockey-specific technique and decision loops: elite crease positioning, specialized save mechanics (pad/glove angles, catching vs sealing), rebound control, reading shot releases, and skating/edge work for effective lateral coverage and recovery. WR/RB training doesn’t develop the goalie’s core technical system (glove/pad mechanics, rebound control patterns, and shot-reading based on skating/stick cues). Thus carry-over is positive but limited—around the low-teens with meaningful uncertainty.	[57]
athletics-distance	0.06	0.09	Athletics distance success should have only a weak relationship with ice hockey goalkeeper success. The transferable portion is mostly general: maintaining focus through a long game, fatigue tolerance, and behavioral regulation. However, goalkeeper excellence is dominated by hockey-specific learned skills—ice skating mechanics within the crease (including edge control and positioning), glove/leg save techniques, rebound handling, and extremely fast visual-perceptual processing of puck trajectories/angles. Since distance running does not meaningfully train these perceptual-motor and technical components, the expected correlation is low but slightly above zero.	[58] [59] [60]
athletics-jumps-high-jump	0.08	0.06	High-jump performance should correlate only weakly with ice-hockey goaltender success. The positive part is general athletic transfer relevant to movement quality: elastic leg power, balance, and body control that can help with pushing from the crease, recovering position after making a save, and stabilizing during sudden movements. However, goaltending is dominated by open-skill, opponent-driven perceptual-motor skill: tracking and reading shots, timing reflex reactions, and executing highly specific save techniques with the goalie’s equipment and stance while moving on skates. Those sport-specific perceptual and technical elements are largely absent from high-jump training, and the movement pattern differs substantially (single vertical takeoff/landing vs repeated lateral/reaction saves). Therefore the expected correlation stays small and variable.	[61] [62] [63]
athletics-jumps-long-triple-jump	0.05	0.06	Long jump/triple jump success reflects explosive lower-body power, elastic stiffness/recoil, and dynamic balance—attributes that can provide a small athletic advantage for hockey goalkeepers in quick push-offs and body control during reactive movements. However, goalkeeping success is dominated by highly sport-specific skills: tracking shot trajectories in real time, save technique (glove/leg/stick deflections), positioning and angle management, and decision-making based on shooter cues. Those are not trained by horizontal jumping. Therefore the expected correlation is very small but slightly positive, with substantial individual variability.	[64] [65] [66]
athletics-jumps-pole-vault	0.08	0.07	Pole vault should have a small positive correlation with ice hockey goalie success because both benefit from general athletic coordination, explosive leg power, balance, and fast re-stabilization. However, goaltending performance is dominated by hockey-specific perceptual and motor skills (puck tracking, skating mechanics, crease positioning, stick/gear angles, and rebound/safe-body mechanics). Pole vault’s unique technical elements (pole plant/inversion/landing constraints) do not directly train those goalie motor programs. Therefore average carryover stays low (roughly ~0.02–0.15), centered around ~0.08 with moderate variance.	[67] [68] [69]
athletics-middle-distance	0.05	0.03	Athletics middle distance and ice hockey goalkeeping share minimal direct technical overlap. Middle-distance performance is driven mainly by aerobic pacing and running economy, while goalkeeper performance is driven by shot-reading, rapid reaction timing, save/deflection mechanics, and crease positioning/puck tracking. The only meaningful carry-over is indirect (general athletic coordination, training discipline, and ability to maintain readiness during long matches), yielding a small but slightly positive correlation around ~0.05.	[70] [71] [72] [73] [74]
athletics-sprints-hurdles	0.08	0.06	Sprint-and-hurdle proficiency should help only a small portion of ice-hockey goalkeeping. There is some technique-relevant overlap in producing quick explosive movements over short distances (first movement, lateral push, and recovery), which can support reflex-to-action mechanics. But goalkeeper performance is overwhelmingly determined by puck-reading, save technique (hand/catch/deflect), positioning/angles, rebound control, and decision-making—all largely absent from sprint/hurdle development. Therefore only a small positive carry-over is expected, with notable person-to-person variation depending on whether the athlete also had other coordination/ball-skill exposure beyond athletics.	[75] [76] [77]
athletics-throws-discus	0.07	0.04	Discus performance indicates rotational strength, leverage use, rhythm/timing, and efficient whole-body sequencing into a fast ballistic release. Ice hockey goalkeepers also need balance, whole-body coordination, and the ability to move explosively from the crease into lateral cover/dive/recovery actions. However, the dominant determinants for goalie success are highly sport-specific: stick/hand positioning, low-shot and rebound technique, tracking/predicting puck trajectories from a moving shooter, and making immediate dive/coverage decisions. These perceptual-cognitive and technique elements are largely not trained by discus throwing. So the expected carry-over is a small positive correlation. A realistic Bayesian estimate is ~0.07 with std dev ~0.04, reflecting modest transfer of general athletic coordination plus large technique/perception gaps.	[78] [79] [80]
athletics-throws-hammer-throw	0.06	0.04	Hammer throw success indicates strong whole-body coordination, dynamic balance, and efficient power generation. These can provide a modest athletic foundation for an ice hockey goalkeeper’s explosive movement and body control. But goalie performance is heavily driven by hockey-specific interactive skills: tracking the puck, reading shot release, reacting in fractions of a second, and using correct pad/stick positioning and angles for saves. Hammer throw’s implement-leverage rotational mechanics do not train these key perceptual and shot-stopping components. Therefore only a small positive correlation is expected.	[81] [82]
athletics-throws-javelin	0.09	0.06	Javelin success reflects explosive whole-body coordination and shoulder/arm speed, which can slightly help with general athletic execution for an ice hockey goalkeeper (e.g., quick readiness and powerful, well-timed upper-body actions such as reaching/clearing). However, goalkeeper performance depends mainly on hockey-specific reflexive tracking and save technique, lateral positioning and coverage patterns, and repeated reactive actions to puck trajectories. These core perceptual-motor and sport-specific mechanics have limited overlap with javelin’s throwing release pattern. Therefore the carry-over should be small but still slightly positive—around low ~0.1 average with modest variation.	[83]
athletics-throws-shot-put	0.09	0.07	Shot put success indicates maximal-force whole-body power, trunk bracing, and coordinated explosive movement. These can help an ice hockey goalie with general athletic needs such as quick pushes, balance under load, and recovery after low-position movements. However, goalie performance is dominated by highly specific learned perceptual-motor skills: tracking the puck early, reading shooter intent, getting into the right angles, and executing correct save/coverage technique with the stick and body in time. These key determinants have limited overlap with shot-put throwing mechanics. Therefore overall carryover should be small but positive, with meaningful individual variability based on whether the athlete can acquire goaltending-specific timing and technique quickly.	[84] [85] [86] [87]
badminton	0.03	0.03	Badminton-to-ice-hockey goalkeeper should be weakly positive because both involve: (1) tracking a small fast object, (2) rapid perception–action timing, and (3) explosive lateral/forward repositioning. But the goalkeeper role’s success is dominated by hockey-specific technical and tactical factors: ice-based movement efficiency, save mechanics (pad/glove/shoulder technique), angle play within hockey geometry, reading release cues from shooters/traffic, and handling rebound trajectories. Those are not directly trained by badminton. So the correlation is expected to be near the low end, roughly ~0.00–0.07 with an average around ~0.03.	[88]
baseball-catcher	0.16	0.08	Baseball catcher success should have a modest positive relationship with ice hockey goalkeeper (goalie) success, because both roles are shot-stopping positions that require rapid visual tracking, anticipation, and technical execution under extreme time pressure. Transferable components: - Fast tracking of a rapidly moving ball/puck and early reading of where it will end up - Quick, reflexive hand/arm coordination for receiving/deflecting/“blocking” plays - Composure and repeatable pre-action routines (crouch/ready posture analogs to goalie set) - Defensive organization concepts (getting your body behind the play, controlling the immediate danger area) Why it’s not high: - Ice hockey goalie performance is dominated by ice- and crease-specific movement (butterfly timing, lateral slides, recovering to square/angle discipline) - Goalie technical mechanics are highly sport-specific: pad/leg positioning, stick-hand technique, glove/ blocker alignment, and managing rebound behavior - Shot trajectories differ (puck speed, bounce/curve off boards, low/high elevations), and the save “geometry” is not the same as catching/blocking pitches in baseball - Catcher receiving/blocking is performed from a crouch with different limb constraints and with a different object/environment So the carryover is positive but limited, with moderate variability: some catchers will adapt quickly due to exceptional reflexive coordination and comfort in the goalmouth-like chaos, while others will be slowed mainly by the technical/terrain-specific goalie skill gap.	[89]
baseball-field-player	0.06	0.06	Baseball field players and ice hockey goalkeepers share some transferable components: watching a rapidly changing play, tracking a puck/projectile trajectory, anticipating where it will go, and executing fast responses within a constrained defensive area. However, hockey goalkeeping is highly specialized and technique-heavy: crease positioning, save selection, glove/pad timing, efficient lateral movement and angle management, and learning hockey-specific puck dynamics and contact/traffic in front of the net. Those core motor skills are not trained by baseball fielding. So the carryover should be small-to-modest. I estimate an average around 0.06 with std dev ~0.06, reflecting near-zero prediction for many athletes, with somewhat higher values for those who also have prior skating/reflex-training or goalie-like catching exposure.	[90] [91]
baseball-pitcher	0.12	0.07	Pitcher → ice hockey goalkeeper should have a small-to-modest positive carryover. The shared elements are mainly general perceptual-motor abilities: tracking a fast-moving object, anticipating where it will go, and executing a precise reactive action under intense pressure. However, the technical core differs greatly. Goaltending is dominated by skating/positioning in the crease, controlling rebound angles, and performing sport-specific save techniques with stick and pads, in addition to handling puck-caroms unique to ice hockey. Pitching’s overhand throwing mechanics do not map directly to those demands. With body-proportion traits excluded, there’s no extra boost from typical goaltender size/reach, keeping the expected correlation modest. A plausible average is ~0.12 with moderate uncertainty.	[92] [93] [94]
basketball-big	0.09	0.05	The correlation should be small but positive. Basketball Big can help with general reflexes, spatial anticipation, and learning defensive positioning under attack. However, hockey goalkeeper success depends heavily on highly specific technique: skating/edge control, dive timing and angles, butterfly mechanics, and puck/stick interaction rules. Since the core technical systems differ substantially, the expected predictive value remains low (~low tenths).	[95] [96]
basketball-guard	0.1	0.08	Basketball guards and ice hockey goalkeepers share some transferable components: tracking a fast-moving puck/shot analog (ball), anticipating trajectories, and reacting quickly while maintaining balance and positional awareness. But the goalkeeper role is dominated by highly sport-specific mechanics: crease positioning and angle management, skating/edge work in tight spaces, stick+pad save technique, handling rebounds/deflections, and rule-specific responsibilities. Basketball guard training does not build these core skills. So overall the skill/technique carryover should be small positive with substantial individual variation.	[97] [98]
basketball-wing	0.1	0.08	Basketball wing excellence should correlate positively but modestly with ice hockey goalkeeper success because of transferable elements like quick perceptual processing, reaction, and general ball-to-hand coordination. However, goalkeeper success is heavily determined by hockey-specific technique (skating, crease positioning, stick/gear-based save execution and shot angle reading) that basketball does not directly train. Therefore the overall carry-over is small: ~0.10 with uncertainty ~0.08.	[99] [100] [101] [102]
boxing	0.18	0.1	Boxing should correlate positively with ice hockey goalkeeper success because it supports transferable elements of reactive sport: staying calm under immediate threat, tracking opponents’ intentions, and quickly responding while maintaining balance and body control. However, a hockey goalkeeper’s performance is dominated by event-specific technique—crease positioning, reading shot cues, save mechanics with glove/paddle, rebound/angle control, and dive footwork on ice. Boxing does not train these primitives directly, and the locomotion constraints differ. So the expected correlation is modest-to-moderately positive, with substantial variance across individuals.	[103] [104] [105] [106] [107]
climbing-bouldering	0.08	0.07	Bouldering success correlates with strong body tension/bracing, excellent balance/proprioception, and coordinated movement execution under intense localized load. Those general technique-like enablers can help an ice hockey goalkeeper with stance stability, efficient re-positioning in the crease, and maintaining body alignment while reacting. However, goalkeeper performance is largely driven by sport-specific determinants: skating speed/control on ice, puck/shot tracking from release, and highly specific save mechanics (stick/glove positioning, dive/slide timing, and angle control). Bouldering only weakly overlaps with these because it does not train puck-and-stick interaction or ice-specific reactive movement patterns. So the correlation should be positive but modest, with substantial variability depending on how quickly the athlete learns hockey’s reactive puck/saving skills on ice.	[108] [109] [110]
climbing-lead	0.09	0.06	Lead climbing success depends on movement economy, precise body positioning, and keeping technique stable as forearms/grip fatigue and pump discomfort increase. Ice hockey goalkeeping success depends heavily on very specific reactive skills: tracking incoming shots/pucks, timing hand/leg positioning for saves, executing pad/block/cover mechanics, reading shooters, and recovering explosively within the crease. There is limited overlap in general “body control under fatigue,” which supports a small positive relationship. But the dominant discriminators in goalkeeper performance are hockey-specific mechanics and opponent-driven decision/reaction cycles, so lead climbing is a weak predictor. Thus a realistic Bayesian estimate is a low positive correlation around ~0.09 with moderate uncertainty (~0.06).	[111]
climbing-speed	0.08	0.06	Climbing speed success indicates explosive upward acceleration, tight body tension control, and repeatable movement execution under time pressure. An ice hockey goalkeeper also relies on quick, coordinated movement bursts, balance, and recovering position rapidly. However, the dominant determinants of goalkeeper performance are highly ice- and puck-specific: skating edge control, save positioning/angles, tracking shot trajectories off sticks, and using stick/gear mechanics correctly. These have limited overlap with hold-to-hold vertical sprint mechanics. Therefore the carry-over should be small but above zero, around ~0.08, with moderate uncertainty.	[112] [113] [114]
cricket-all-rounder	0.06	0.05	Cricket all-rounder success should correlate only weakly with ice hockey goalkeeper success. There is some transferable perceptual-motor skill (tracking and reacting to a fast ball/puck) and some mental composure for rare, high-leverage moments. But goalkeeper success depends heavily on ice- and position-specific fundamentals: crease positioning, skating mechanics for recovery, and glove/pad save techniques and rebound control. With reach/size effects excluded, the remaining skill/mentality overlap is small, so the expected correlation is near the low end of small positive values.	[115] [116] [117] [118] [119]
cricket-batter	0.15	0.08	Cricket batter success is strongly driven by perceptual timing (tracking a fast ball early), hand–eye coordination, and stable lower-body control to execute repeatable actions accurately under pressure. Ice hockey goaltending also depends heavily on visual tracking and rapid reaction timing, plus whole-body positioning and coordinated saves. The main transferable components are general perceptual-motor skills: reading the incoming object early, coordinating eyes/hands/body quickly, and maintaining focus during sequences. However, goalkeeper success depends on substantial event-specific learned motor patterns: crouch/stance and lateral positioning, butterfly/stand transitions, stick and pad save mechanics at specific angles, rebound control, and distribution rules. Cricket batting involves striking rather than save/coverage mechanics. Therefore the relationship should be positive but modest, not large.	[120]
cricket-bowler	0.12	0.08	Cricket bowler → ice hockey goalkeeper should be weak-to-modestly positive. Direct technique transfer is limited because bowling’s overarm delivery motor program differs from goalie-specific save/coverage mechanics. The meaningful shared component is perceptual-action skill: reading an incoming projectile early and reacting quickly and consistently under speed and pressure. Since goalkeeper performance is still dominated by highly specific crease/reflex and save biomechanics, the correlation should not be high. A Bayesian point estimate around 0.12 with moderate uncertainty (~0.08 std dev) reflects “some advantage via anticipation/reaction and learning discipline, but capped by goalie-specific technique.”	[121] [122] [123] [124] [125]
cricket-wicketkeeper	0.18	0.12	Cricket wicketkeeper success should correlate moderately with ice hockey goalkeeper success because both are highly specialized reactive roles built around visual tracking, anticipation, and rapid, reliable saves from a low ready stance. However, hockey goaltending is strongly driven by hockey-specific mechanics (pad/gear save techniques, rebound control, lateral positioning, crease-area tactics) and different puck dynamics, which wicketkeeping doesn’t train directly. That keeps the expected carryover from being high.	[126] [127] [128] [129]
cycling-mountain-bike-cross-country	0.05	0.06	Mountain bike cross-country should have only a very small positive correlation with future ice hockey goalkeeper success when ignoring body-size traits. The general carry-over is mainly balance/proprioception and fatigue-resistant coordination. However, goalkeeper performance is dominated by highly specific ice and puck-related skills: edge control and explosive crease positioning, precise lateral movement timing, hand/stick save mechanics, and rapid puck tracking/anticipation. Since MTB XC does not train these in a transferable way, the expected relationship stays near zero.	[130] [131] [132]
cycling-road-climber	0.03	0.06	Cycling road climbers are best at sustained aerobic power-to-weight, pacing, and repetitive efficiency on gradients. Ice hockey goalkeepers rely on highly specific perceptual-motor skills: instant reaction/anticipation to close-range shots, precise positioning, explosive lateral/vertical crease movement, and save mechanics. Those components overlap only minimally with climbing cycling technique. The expected correlation is therefore very small but slightly above zero due to indirect benefits like conditioning and general balance/athletic learning, with substantial between-person variability depending on additional prior hand-eye/stick sports exposure.	[133] [134] [135] [136]
cycling-road-sprinter	0.06	0.06	Cycling road sprinter success should have a very weak positive correlation with ice hockey goalkeeper success when focusing on technique/skills only (excluding physique/height). There is some overlap in attentional sharpness and reacting to game-state changes, but goalkeeper performance is dominated by highly specific save reflex mechanics, shot tracking, crease positioning, and ice skating edgework in reactive situations, which do not transfer well from cycling sprinting. Hence the expected carry-over is small (around ~0.06) with moderate uncertainty (~0.06).	[137] [138] [139] [140]
cycling-road-time-trialist	0.04	0.06	Cycling road time-trialist performance should have only a very weak positive relationship with ice hockey goalkeeper success. The overlap is mostly general—conditioning for training volume, some lower-body strength/base for lateral movement and recovery, and mental discipline. But the decisive determinants for a goalie are highly sport-specific: rapid reaction to shot cues, precise positioning to the angle, reading puck/shot trajectories, and diving/landing technique with stick/hand coordination. Since TT cycling does not train those reactive perceptual-motor skills, most variance in goalie performance should be largely independent of TT performance, yielding a low correlation with high variability.	[141] [142] [143]
cycling-track-endurance	0.03	0.04	Cycling endurance should have only a very weak positive relationship with later success as an ice hockey goalkeeper. Shared factors are mostly general athletic qualities: being able to train consistently, tolerate repeated hard bouts, and maintain coordination under fatigue. Goalkeeper success is dominated by ice-hockey-specific technical and perceptual skills: rapid reflexive positioning, lateral and compound skating on edges, puck/shot tracking with hand-eye timing, reading shooter intent, and correctly timed lateral/forward dive mechanics. Velodrome endurance cycling does not train these save-specific skills. Therefore the carry-over correlation should be near the floor for “different sports,” plausibly around ~0.00–0.09, with an average near 0.03 and moderate uncertainty.	[144]
cycling-track-sprint	0.04	0.1	The technique carry-over from cycling sprint track to ice hockey goaltending should be weak. While sprint cycling can provide general neuromuscular qualities (quickness and repeated intensity) that help a goalie move sharply within short windows, the key determinants of goalie success are sport-specific: puck-tracking, precise positioning, glove/pad save mechanics, and reactive dive timing in an open, unpredictable environment. Since those are not meaningfully trained by velodrome sprinting, the expected correlation is near-zero but slightly positive, around ~0.04, with moderate uncertainty (~0.10).	[145] [146] [147]
fencing-epee	0.07	0.08	Epee-to-ice-hockey-goalkeeper should be modestly positive but limited. Shared components include quick perceptual processing (reading the shooter), timing-based movement initiation, and whole-body coordination/positioning to react under pressure. Those can help a goalie with early-stage crease positioning and reflex timing. However, ice hockey goalie performance is dominated by hockey-specific constraints: skating on ice (edge work/stance control), tracking a puck with different visual and motion characteristics than a fencing blade, and executing glove/pad/blocking techniques within goalie-specific rules and angles. Because epee does not train these core tool/biomechanical mechanics, the expected carry-over stays low (~0.07) with moderate individual variance.	[148] [149] [150]
fencing-foil	0.2	0.14	Foil fencing should correlate positively with ice hockey goalkeeper success because both reward technique-neutral components: (1) rapid reading of an attacker’s intent, (2) timing and distance/gap judgment before committing, (3) explosive reaction and decisiveness, and (4) composure and execution accuracy across repeated high-stakes attempts. However, the ceiling is limited by substantial mechanics and environment mismatch. Goalkeeper success is driven by skating/edgework and positional coverage in a constrained crease, as well as sport-specific puck tracking and save/deflection mechanics (with pads/stick) while managing collisions and momentum. Foil’s lunge/point-control and non-contact target interaction only indirectly overlaps. Therefore the expected correlation is modest (clearly above zero) but not high, with meaningful variance depending on how effectively a fencer can convert reaction/timing skills into goalkeeper skating and glove/pad technique.	[151] [152] [153]
fencing-sabre	0.17	0.14	Fencing sabre and ice hockey goalkeeping overlap in several technique/skill areas that influence performance: rapid perception of the attacker’s action, quick decision-making, and explosive defensive movements that must start and stop with good control. Sabre also trains an athlete to respond precisely under fast-paced, opponent-driven timing. However, a hockey goalkeeper’s “how good you are” variance is dominated by hockey-specific mechanics: tracking the puck at various speeds and angles, executing glove/pad saves and rebounds with correct timing, and mastering crease positioning with hockey skating. Those core determinants aren’t meaningfully taught in sabre fencing. Because of that missing, sport-specific skill, the carry-over should be modest rather than high.	[154]
field-hockey-goalkeeper	0.45	0.16	Field-hockey goalkeeper success and ice-hockey goalkeeper success should correlate fairly strongly (moderate positive) because the goalkeeper role is the same in functional terms: prevent scoring with reflexes, coverage/positioning, and rapid reading of attackers/shots. The perceptual-cognitive substrate transfers well: early cue reading, tracking a fast projectile, anticipating shot direction, and maintaining the correct angles/geometry for coverage. However, correlation is not very high because the technical center of gravity differs: ice hockey relies far more on ice skating/edge control, crease positioning, and specific pad/block/reflex mechanics, while field hockey emphasizes stick-and-leg save techniques and different movement constraints. That mechanics and skating mismatch limits direct motor-pattern transfer and increases between-person variability. Overall: a moderate correlation is realistic, driven by transferable shot-reading/coverage skills, but held back by sport-specific save mechanics and ice-specific mobility.	[155] [156] [157] [158]
field-hockey-outfield	0.2	0.12	Field-hockey outfield success should have a weak-to-low positive correlation with ice-hockey goalkeeper success. The shared transferable component is mainly perceptual and cognitive: reading opponents’ attacking patterns, tracking the puck/shot line early, reacting quickly, and staying mentally steady under barrage pressure. However, the goalkeeper’s core skills are technically and biomechanically specialized and ice-specific—crease positioning, glove/pad save mechanics, rebound handling, and mobility on ice edges. Since outfield hockey does not train those direct save techniques (and uses different stick-and-ball contact and movement constraints), the correlation should remain limited, plausibly around ~0.05–0.35, centered near ~0.2.	[159] [160]
golf	0.06	0.05	Golf should show a modest but not strong correlation with ice-hockey goalkeeper success (with physical-trait effects excluded). The transferable elements are mostly general: precision, technique discipline, visual tracking, and composure. However, goalkeeper performance is dominated by hockey-specific reactive mechanics (stance, lateral movement, butterfly/catching/blocking, rebound control, and rapid recoveries) and an interactive, highly variable shot environment. Since golf does not meaningfully train those core motor patterns, the correlation stays relatively low but above zero due to some perceptual/technique overlap.	[161] [162] [163] [164] [165]
gymnastics-artistic	0.12	0.07	Artistic gymnastics should correlate positively but modestly with ice hockey goaltender success. Transferable components include strong balance recovery, low-body and trunk control, and learning efficiency for complex body positions, which help in crease coverage and quick repositioning. However, hockey goalie performance is dominated by highly sport-specific determinants: skating technique on ice, pad/glove save mechanics, rebound/angle control, and reading puck trajectories under hockey constraints. Since gymnastics only indirectly overlaps these factors, the expected carryover remains small-to-modest.	[166] [167] [168]
gymnastics-rhythmic	0.1	0.06	Rhythmic gymnastics should have a small-to-modest positive correlation with ice hockey goaltender success through transferable prerequisites: excellent balance and proprioception, refined body control, and the ability to reorient quickly while maintaining stable posture/angles. These can reduce the learning curve for goalie stance mechanics and efficient recovery steps. However, goalie performance is heavily constrained by hockey-specific elements: ice-skating edge and braking/acceleration mechanics (especially for lateral coverage and butterfly set-up), puck/shot tracking and timing under live opposition, and rule-constrained save techniques using hockey gear. Rhythmic gymnastics does not provide comparable practice for these adversarial stimulus-response loops. Because the overlap is mainly general motor control rather than hockey-specific perceptual and skating mechanics, the expected correlation should be modest. A plausible Bayesian mean is ~0.10 with std dev ~0.06.	[169] [170] [171] [172]
gymnastics-trampoline	0.16	0.1	Trampoline should have a modest positive correlation with ice hockey goalkeeper success. The strongest carryover is general neuromotor skill: balance, body awareness, and coordinated movement through unstable positions, which supports diving posture and rapid re-centering after a save attempt. However, goalie performance is highly constrained by ice-specific movement mechanics (edge pushes, lateral acceleration, crease positioning) and by puck/shot-specific perception-action and equipment technique (reading shot trajectory, timing glove/pad/stick positioning). Because these are not directly trained by trampoline, the correlation should remain around the mid-teens rather than high, with substantial uncertainty.	[173] [174] [175] [176]
handball-backcourt	0.12	0.09	A small positive correlation is plausible because both roles require: - Rapid perception-action cycles to track a fast projectile and respond immediately. - Decision-making under high pressure (commit vs hold/cover). - High concentration across repeated scoring threats. - Basic offensive/defensive reading (understanding where threats come from). But the dominant technical skill sets differ strongly: - Handball backcourt is centered on throwing/shooting and perimeter creation plus defensive sizing. - Ice hockey goalkeeping depends heavily on ice-specific crease positioning, save angles, and rebound management using glove/pads/legs, plus skating mechanics in the crease and lateral recovery. Because technique transfer is limited, the correlation should remain low (~0.12) with moderate individual variability (std dev ~0.09).	[177]
handball-goalkeeper	0.2	0.1	Both are specialized goalkeeping positions, so the perceptual-cognitive part of the role overlaps: reacting quickly to close-range threats, tracking moving attackers/puck/shot direction, and choosing correct coverage/positioning habits. A handball goalkeeper who excels is likely strong in anticipation and reflexive responses, which can translate somewhat to ice hockey goalie reflex saves. However, ice hockey goaltending is dominated by hockey-specific technique and movement: skating-based positioning, pad and stick-related mechanics, and different save/delivery patterns shaped by puck physics and the stick/shot environment. Handball goalkeeper catching/diving skill is not a direct 1:1 technical match. Therefore carry-over should be positive but far from high.	[178] [179]
handball-pivot	0.17	0.08	Handball Pivot success involves (a) fast visual tracking and anticipation of ball flight/attacker intent, (b) making decisions and acting accurately in congested, close-range traffic near the goal, and (c) maintaining balance/body control under constant physical pressure. Ice hockey goalkeeper success similarly depends on (a) reading puck trajectory early, (b) reacting quickly to shots from short distances, (c) maintaining positional control/angles and staying composed under sustained threat. This creates a noticeable positive overlap in perceptual-reactive and positional/pressure-handling skills. However, the dominant technical determinants for a hockey goalie are largely sport-specific: skating/edgework in the crease, lateral slide mechanics, stick/puck-specific interactions, and defined save techniques tied to the goalie’s equipment and rule context. Handball Pivot mechanics do not directly train these. So the correlation should be modest, not high.	[180]
handball-wing	0.12	0.08	A handball wing’s success should correlate somewhat with later ice hockey goalkeeper success due to overlapping perceptual skills: tracking a fast shot trajectory, anticipating likely shot direction, and reacting under high-tempo pressure. However, goalkeeper technique is fundamentally different: it depends on hockey-specific crease positioning, skating mechanics, and pad/blocker/stick save execution governed by ice-hockey rules and puck behavior. The wing role is also primarily offensive rather than a specialized reactive-covering role. Together these factors cap the carryover at a modest level and make the correlation fairly variable.	[181] [182] [183]
ice-hockey-defenseman	0.45	0.2	Because both positions are in the same sport, a large portion of performance variance comes from shared hockey learning: skating quality, puck/shot tracking, tactical understanding, and reacting quickly under game pressure. That creates a substantial positive correlation. However, goalie is a highly specialized position: the decisive factors for a goalie are save mechanics, angle coverage, rebound control, and crease-specific positioning patterns that are not trained the same way as defenseman gap control and transition responsibilities. That role specialization reduces the correlation from very high (near-0.8+) down to a moderate level. A reasonable expected correlation is therefore moderate (~0.45) with fairly large spread (std dev ~0.2) due to different training pathways and which components a given player emphasizes.	[184] [185] [186] [187]
ice-hockey-forward	0.55	0.12	Within ice hockey, forwards and goalkeepers share substantial technique-adjacent and tactical foundations: skating skill on ice, reading play/puck trajectories, and hand-eye coordination with a stick/targeting system. That creates a fairly high positive correlation. However, the goalkeeper role is strongly specialized. Goalie excellence depends on goalkeeper-specific save mechanics, reaction pathways, crease positioning, rebound handling, and different movement patterns (drops and coverage angles) that forwards do not train in the same way. Because of this specialization, the correlation is not extremely high (e.g., not ~0.85–0.95), but still clearly above typical cross-sport values.	[188] [189] [190]
judo	0.14	0.09	Judo and ice hockey goalkeeping overlap mainly in broad, technique-relevant capacities: (1) staying balanced while forces and unexpected perturbations act on you, (2) quickly reorienting your body and maintaining posture for the next movement, and (3) developing reflexive, whole-body coordination under high pressure. However, a hockey goalkeeper’s performance is dominated by sport-specific determinants not trained in judo: ice skating mechanics and crease movement, tracking and reacting to puck trajectories, and executing saves with pads/stick with precise positioning and geometry constrained by hockey rules. So good judo should predict a small-to-modest advantage in learning goalie movement quality and reacting under pressure, but it should not strongly predict overall goalie success. Expected correlation: modest (~0.14).	[191] [192]
lacrosse-attacker	0.08	0.09	Lacrosse attacker performance should have a weak positive relationship with ice hockey goaltender success mainly through transferable perceptual skills (tracking, anticipating plays) and general reaction under pressure. However, goaltending is dominated by hockey-specific technical mechanics—stance/angle control, rebound management, glove/pad usage timing, and skating/positioning on ice—which are not trained by lacrosse attacker fundamentals. Therefore the expected correlation is low with substantial variability.	[193] [194] [195]
lacrosse-defender	0.14	0.1	A lacrosse defender’s success should correlate positively—but modestly—with ice hockey goaltender success. Shared transferable components include: reading opponents early, anticipatory positioning to cover dangerous areas, tracking a fast object under pressure, and staying mentally composed while opponents attempt to create scoring chances. However, goaltending performance is strongly determined by hockey-specific technical skills and movement patterns: optimal crease/stance mechanics, how you square up and select dive directions, glove/blocker positioning, rebound control, and reading shot types unique to hockey. Lacrosse defending relies mainly on stick-checking, body contact rules, and different interaction dynamics with the ball. Because the dominant tools and save mechanics differ substantially, only part of the variance transfers, keeping the correlation in the low-to-modest range.	[196]
lacrosse-goalkeeper	0.65	0.12	The correlation should be fairly high because both lacrosse goalkeepers and ice hockey goalkeepers are specialized shot-stoppers. The transferable components are strongly aligned: tracking an incoming fast projectile early, anticipating the shooter’s action, maintaining correct positioning to reduce scoring angles, and executing timely reflex saves while managing rebounds/chaos. It’s not near-perfect because the technical means of saving are different (stick-based save/catch mechanics in lacrosse vs glove/pad/stance mechanics in hockey) and the environment/locomotion differs (lateral movement on ice vs field positioning). Those mismatches cap the correlation below ~0.8–0.9, but still leave it high (mid-to-high 0.6s).	[197] [198] [199] [200]
lacrosse-midfielder	0.18	0.09	Lacrosse midfielders who are successful tend to have strong perceptual and reactive skills: tracking a projectile quickly, reading intent under pressure, and making fast decisions in chaotic close-range situations. Those elements align well with core goalie requirements—especially reflex timing and anticipation. But ice hockey goaltending is strongly constrained by goalie-specific mechanics: skating to angles, butterfly/stance timing, pad and glove positioning, rebound control, and the puck’s distinct dynamics. Lacrosse stick-and-ball defending does not train those core save techniques and crease movement patterns directly. So the carry-over should be clearly positive yet bounded—enough to be a meaningful head start, but not high predictive power. A Bayesian estimate places the average around ~0.18 with a fairly wide spread depending on whether the athlete has prior hockey/goalie exposure and how quickly they learn crease mechanics.	[201] [202] [203] [204]
padel	0.1	0.06	Padel success should show a modest positive relationship with ice-hockey goalkeeper success because both require rapid visual tracking and timely reactions under intense, frequent pressure. However, the majority of goalkeeper value comes from ice-hockey-specific mechanics: skating/edge control in and out of position, accurate positional coverage within the crease, and save technique with the stick/glove plus tracking and rebound play based on puck physics on ice. Padel’s racket striking and wall rebounds create different timing cues and do not teach the skating-driven movement patterns and save mechanics central to a goalie. Therefore carry-over should be small with meaningful variance depending on whether the athlete also has prior hockey skating/stick experience.	[205]
pickleball	0.09	0.06	Pickleball performance should have a modest positive carry-over to ice hockey goaltending through shared perceptual-motor elements: tracking a fast object, early reads, and reactive lateral positioning. However, goalie success is highly dependent on hockey-specific save technique (gear-hand placement, blocking/catching/diving mechanics, and crease/angle positioning) and on team/shot-context variance. With technique-only transfer assumed and physique excluded, the overall expected correlation is low-to-moderate, around ~0.09, with meaningful uncertainty.	[206] [207] [208] [209] [210]
rowing-lightweight	0.03	0.04	Lightweight rowing should have a very small positive correlation with ice hockey goaltender success. Transfer is mainly general: body control, balance, and the habit of sustaining technique under strenuous, repeated effort. But elite goaltending is dominated by sport-specific factors with little overlap: skating edge work and explosive lateral movement, tracking and reacting to fast-changing puck trajectories, precise glove/pad positioning and rebound control, and highly specific bracing/contact timing in/around the crease. Rowing does not meaningfully train the perceptual-motor “see puck → set position → explode into save” loop. So the expected carry-over is near the “quite different” lower range, around ~0.03, with substantial variance depending on prior skating/hockey experience.	[211]
rowing-openweight	0.05	0.04	Rowing openweight success reflects coordinated whole-body propulsion in a repeatable rhythmic cycle plus endurance. Ice hockey goalkeeper success depends mainly on highly specific skills: explosive lateral positioning, low-body stability, stick/blocking mechanics, reading shots early, and rapid reflex saves with precise timing. Those decisive goalkeeper determinants have limited overlap with rowing, so direct skill carry-over should be very small. The remaining transferable foundation—general balance, whole-body coordination, and the ability to maintain movement quality during demanding sessions—can help learning, but not enough to create a meaningful correlation. Net effect: a low but non-zero correlation, near the lower end of expectations for very different sports.	[212] [213] [214]
rugby-union-halfback-midfield	0.11	0.16	Rugby union halfback/midfield performance should have a modest positive relationship with ice hockey goaltender success because both require fast perception, anticipation, and reactive body control under pressure. However, ice hockey goalkeeping is dominated by highly event-specific skills: crease positioning/angles, stick-and-pad save mechanics, rebound control, and skating-based lateral positioning with ice-specific balance constraints. Rugby’s passing/kicking distribution and running/collision movement do not directly train these core goalie techniques. Thus only part of the rugby skill stack transfers (mainly cognitive/anticipation and general reaction/athletic control), producing a low-to-modest average correlation with a fairly large standard deviation driven by how quickly individuals learn goalie-specific ice and save mechanics.	[215] [216] [217] [218] [219]
rugby-union-loose-forward	0.11	0.08	Loose forward success should correlate modestly with ice hockey goalkeeper performance because both roles involve high defensive awareness, reacting to fast-changing threats, and maintaining composure through repeated high-intensity moments. However, hockey goalkeeper success is dominated by sport-specific techniques and constraints: skating mechanics on ice, stick/pad timing to the puck, crease positioning relative to shot angle and shooter/puck location, and highly specific save/rebound control patterns. Rugby’s ruck/tackle/carrry context does not train these core goalkeeper mechanics. Therefore the correlation should be low-to-modest positive with substantial variability—some athletes may have excellent reflexes and body control that transfer, but most performance will come from hockey-specific training.	[220]
rugby-union-outside-back	0.12	0.08	Rugby union outside-back success should have only a small positive correlation with future ice hockey goalkeeper success. There is some overlap in reactive decision-making, ball tracking, and dynamic balance/recovery. However, goalkeeper performance is dominated by ice-specific skating mechanics and hockey-specific save technique (pads/stick positioning, edge control, angle coverage) and crease-position habits that rugby outside-back roles do not teach. As a result, carry-over remains low-to-modest, not moderate.	[221] [222] [223] [224] [225]
rugby-union-tight-five	0.12	0.1	Rugby tight five and ice hockey goaltending overlap mainly in broad, transferable factors rather than core motor technique. Tight-five success is associated with tolerating repeated collisions, maintaining composure under constant physical stress, and executing within a structured role system—qualities that can translate into the mental and physical steadiness needed for goalie work. However, goaltender performance is dominated by sport-specific technical determinants: skating and explosive lateral positioning (including edge work and pushes), tracking puck trajectories, and executing save mechanics (stick/butterfly/shoulder positioning) with a timing loop that is not trained in scrums. Because the key skating/goalie-motor patterns and puck-tracking mechanics have little direct overlap with tight-five scrummaging, the expected relationship should be positive but modest, not strong. An average around ~0.12 with wide uncertainty is plausible depending on whether the athlete already has good skating/hand-eye/reaction training from other activities.	[226]
skiing-alpine-speed	0.1	0.08	Alpine speed-event skiing should have a modest positive relationship with ice hockey goalkeeping because it develops transferable athletic foundations: dynamic balance at high speed, the ability to absorb and recover from large forces, and controlled body positioning while moving/lunging. However, hockey goalkeeper performance is dominated by highly sport-specific technical skills and timing: glove/leg save mechanics, rebound/coverage control, and rapid reactive positioning based on opponent shot cues. Alpine skiing’s core technique (edge control, gravity-driven line-holding) does not train these constraints. Because the overlap is mostly general movement quality rather than core goalkeeper technique, the expected carry-over is small but above zero. A realistic average correlation is ~0.10 with noticeable variability (~0.08 std dev) depending on prior hockey exposure and how quickly the athlete picks up goalie-specific receiving/blocking/reflex training.	[227] [228] [229]
skiing-alpine-technical	0.08	0.06	Technical alpine skiing (slalom/giant slalom) builds dynamic balance, quick lower-body re-aiming, and controlled force absorption while moving at speed. Those general neuromotor qualities can modestly support goalkeeper fundamentals like staying set in the crease, moving laterally/re-centering efficiently, and not losing posture under sudden changes. Ice hockey goaltending is, however, highly sport-specific. Key determinants are puck tracking, choosing the correct save type, and executing precise stick/leg-pad body positioning at the right time/angle within hockey rules. Skiing’s edge-turn skill does not directly train the puck-based perception-action loop or the specific save mechanics. So the carry-over from skiing success to hockey goalie success should be small positive (low correlation), driven mostly by general balance and reactive movement learning rather than direct technique transfer.	[230] [231] [232]
skiing-cross-country	0.04	0.02	Cross-country skiing success correlates with aerobic capacity, movement economy, balance, and the ability to maintain coordination through fatigue—useful for working repeatedly over the course of a game and staying mechanically consistent while tired. However, an ice hockey goalkeeper’s performance depends largely on sport-specific perceptual-motor skills: rapid glove/pad reaction to puck trajectories, tracking puck release off the shooter’s stick, timing of lateral and butterfly movements, and ice-specific positioning and recovery mechanics. XC skiing does not meaningfully train those shot-stopping/reflex patterns or the specialized skating edge work around the crease. Because the overlap is mostly general athletic qualities rather than technique, the carry-over should be near-zero and only slightly positive. Hence ~0.04.	[233]
snowboarding	0.06	0.09	Snowboarding and ice hockey goalkeeping share mostly general motor-learning prerequisites: dynamic balance/proprioception and reacting to fast-changing visual information. Those create a small positive carryover. But goaltending is dominated by hockey-specific technique—puck/stick- and angle-dependent blocking/catching mechanics plus skating-driven save/dive and recovery patterns. Snowboarding does not train these repeatable goalie actions, so the technique-based correlation remains low. Therefore a realistic estimate is ~0.06 average with ~0.09 standard deviation (some individuals transfer better if they also have hockey/hand-eye training).	[234] [235] [236] [237]
soccer-central-defender	0.19	0.12	Soccer central defender performance should correlate positively with ice hockey goalkeeper performance because both are highly reactive, defensive roles that depend on anticipation of shot direction, tracking a fast-moving ball/puck, and staying composed during repeated high-pressure attacks. That perceptual-cognitive layer creates a moderate positive carry-over. However, the core technique architecture differs substantially: soccer central defending emphasizes body positioning for tackles/aerial duels and clearance patterns, while hockey goalkeeping emphasizes skating/edge work in the crease, pad/glove save mechanics, stick usage/angles, and shot-rebound control. This mismatch caps the correlation. A plausible average is therefore around ~0.19 with fairly large uncertainty (std dev ~0.12).	[238] [239] [240] [241]
soccer-central-midfielder	0.19	0.12	Central midfield performance implies strong perception and anticipation of play development, plus quick reactions to changing situations and competence while under pressure. Those translate reasonably to goaltending tasks: reading shooter intent, tracking the puck/launch, and making rapid coverage decisions. However, goalkeeper success is dominated by highly sport-native technique (crease positioning patterns, pad/glove mechanics, rebound control, and edge-based movements on skates). Soccer midfield does not train those mechanics directly. So the correlation should be positive but only moderate, not high.	[242]
soccer-goalkeeper	0.6	0.12	Soccer goalkeeper success should correlate strongly with ice hockey goalkeeper success because both subcategories are essentially the same functional role: a last-line shot-stopper who reads the attacker, maintains optimal positioning to reduce scoring angles, and reacts explosively to fast projectiles under pressure. A soccer goalkeeper’s anticipation, reflex timing, and defensive organization transfer well to hockey’s goalie decision layer. The correlation is not near-perfect because ice hockey goalkeeping has major technique and movement constraints: skating/edge-work, glove/blocker/pad save mechanics, how to cover the crease, handling rebounds and puck behavior, and rule-specific legalities. Those must be relearned and limit transfer. Combining strong role-level overlap with substantial technique mismatch yields an expected average correlation around ~0.60 with moderate uncertainty (~0.12).	[243] [244] [245]
soccer-striker	0.1	0.07	Soccer striker success should correlate weakly with ice hockey goalkeeper success because both roles can involve high-pressure moments, rapid decision-making, and reacting to threats in a team invasion context. However, ice hockey goalkeeper performance is dominated by highly specialized save technique and crease positioning, including rebound management, precise angle control, and reflex mechanics tied to puck speed and trajectory. Since soccer striker technique focuses on attacking/finishing with feet rather than shot-stopping mechanics, the relationship should be small and mostly reflect general athletic adaptability and mental toughness.	[246]
soccer-winger	0.11	0.08	Soccer winger performance should correlate only weakly with ice hockey goalkeeper success. The positive part is limited but real: both roles involve (1) anticipating threats/shot situations, (2) rapid visual tracking, and (3) executing fast body positioning decisions under pressure. However, the decisive part of goaltending is highly technique-specific and environment-specific: ice skating mechanics (including butterfly/edge control), crease positioning and rebound control, and save execution (glove/blocker/leg positioning, angle management, and puck-save timing). These are not trained in winger roles, and the winger’s attacking skill set (ball dribbling/kicking and chance creation) provides little direct overlap with goalkeeper blocking/reflex and coverage mechanics. Therefore the expected average correlation is small but positive (around ~0.11), with substantial individual variance depending on whether the athlete has prior goalkeeper experience or extensive hockey/similar reflex-and-coverage training.	[247] [248] [249] [250]
softball-catcher	0.25	0.14	Catcher success should show a moderate positive correlation with goalkeeper success because both roles are primarily reactive: track the incoming object early, read intent from limited cues, stay balanced in a low ready position, and execute rapid first-step/blocking motions repeatedly. The key limitation is that hockey goalkeeping depends heavily on hockey-specific technique (skating/edgework, crease positioning, glove/pad-stick mechanics, handling rebounds on ice, and reacting to shot angles/speeds unique to hockey). Catcher training transfers mainly the ‘reactive shot-stopping mindset and general coordination’ rather than the core sport mechanics, so correlation should be moderate rather than high.	[251]
softball-field-player	0.1	0.08	Softball field-player success should have a modest positive relationship with ice hockey goalkeeper success because both reward perceptual skills (tracking a fast moving object) and quick reflex reactions. However, the goaltender role is highly specialized: it depends on hockey-specific mechanics for saves (pad and stick positioning, tracking and angle-setting, rebound control), plus crease positioning rules and ice-skating mechanics (butterfly, lateral pushes, recovery). Since softball fielding doesn’t train these goalie-specific technique components, the carryover is limited. Net result: small-to-modest positive correlation.	[252] [253] [254]
softball-pitcher	0.04	0.07	The only meaningful technique carry-over from a softball pitcher to an ice hockey goaltender is general upper-body coordination and the ability to execute a repeatable, high-intensity action under pressure. However, goalie success is dominated by skating/edge control in the crease, tracking a fast moving puck, and using specialized saves (stick/leg positioning, glove/ blocker reaction, rebound control) that have little direct mapping from underhand pitching. Because the overlap is small but not zero (hand-eye/reflex competency and composure), a very low positive correlation is expected.	[255]
squash	0.1	0.07	Squash and ice hockey goalkeeper share some transferable elements: reading an opponent/release, tracking a fast-moving object, quick reflex responses, and maintaining balance while making abrupt movements inside limited space. But goalkeeper success depends heavily on sport-specific mechanics: skating edgework and lateral coverage, precise positioning in the crease, glove and blocker save technique, stick play/deflections, rebound control, and learning shot-type-specific reactions within hockey rules. Squash doesn’t train these goalie motor patterns or the puck/ice interaction. So the relationship should be positive but small. A plausible Bayesian-centered estimate is r ≈ 0.10 with std dev ≈ 0.07 reflecting low-to-modest transfer and individual variation in how much the squash advantage came from reactive tracking vs general athleticism.	[256]
surfing	0.07	0.05	Surfing should show only a slight positive correlation with later success as an ice hockey goalkeeper (excluding height/reach). Shared technique-neutral overlap is mainly general dynamic balance, quick recovery after perturbations, and learning to stay coordinated under fatigue/chaos. But ice hockey goalkeeper performance is dominated by hockey-specific technical skills: crease positioning and angles, lateral/backup skating patterns, tracking and reacting to puck trajectories with stick/gear, save mechanics, rebound control, and reading shooters/shot options in real time. Surfing does not meaningfully train the puck-tracking/stop motor patterns or the skating-specific positional system used by goalkeepers. Because of the limited overlap, the correlation stays low with substantial variance (some surfers may transition better if they also have prior skating/ball-stick reaction experience).	[257]
swimming-backstroke-middle-distance	0.07	0.04	Middle-distance backstroke success is driven by rhythm, stroke economy, shoulder endurance, and maintaining efficient technique under fatigue. An ice hockey goalkeeper’s success depends much more on highly sport-specific skills: reading puck release and shooter cues, positioning in the crease, glove/leg pad/stick save mechanics, and dive/cover/recovery on ice. Because the core motor programs and stimulus timing differ substantially (water propulsion/turning vs on-ice reactive goaltending), direct technique transfer should be near minimal. Only general athletic adaptation and practice/technique-learning habits should provide a small boost. Therefore a low positive correlation (~0.07) with modest uncertainty (~0.04) is most plausible.	[258] [259] [260]
swimming-backstroke-sprint	0.05	0.04	Sprint backstroke success should correlate only weakly with ice hockey goalie success. There is some overlap in general athletic qualities—explosive bursts, coordination, and maintaining technique under intensity. However, goalie performance is dominated by hockey-specific perceptual-motor skills (tracking puck trajectories, catching/deflecting, rebound control) and skating/dive mechanics that are not trained by backstroke swimming. Thus the technique/skill carryover should remain small.	[261] [262] [263] [264]
swimming-breaststroke-middle-distance	0.04	0.03	Middle-distance breaststroke success reflects strong general coordination, rhythm/timing, and the ability to maintain technique quality under fatigue—skills that can slightly help a new athlete learn the goalkeeper’s stance discipline and positional consistency. However, ice hockey goaltending is strongly driven by sport-specific reactive skills: tracking the puck after difficult shot release/rebounds, executing precise saves/dive timing, managing crease positioning versus attackers, and using stick/body angles in chaotic situations. Those rely on different movement patterns and different perceptual-cognitive cues than breaststroke. Therefore the technique/skill carry-over should be only a very small positive correlation, with wide individual variation depending on how readily someone develops puck-tracking reflexes and dive mechanics.	[265] [266] [267] [268]
swimming-breaststroke-sprint	0.06	0.03	Sprint breaststroke performance indicates strong whole-body timing (simultaneous arm–leg coordination), explosive force production, and disciplined technical practice around starts/turns/walls. Those general abilities can help a future hockey goalie with general athletic readiness and learning efficiency. However, goalie success is dominated by highly sport-specific learned determinants: rapid tracking of a moving puck, split-second reflexive positioning and blocking mechanics (often while in a crease), and reading/adjusting to shot and attacker release patterns. Breaststroke sprint does not meaningfully train the hand/eye–driven reaction and blocking mechanics in a live puck context. Therefore the expected technique/skill correlation is small positive, near the low end of the plausible range for very different sports.	[269] [270] [271]
swimming-butterfly-middle-distance	0.03	0.03	Swimming butterfly middle-distance success depends on water-specific propulsion/undulation coordination and maintaining technique efficiently under fatigue. An ice hockey goalkeeper’s success depends heavily on sport-specific perceptual timing (puck/shot reads) and crease-specific save mechanics and positioning, which overlap only minimally with swimming’s learned motor patterns. Therefore direct technique-based carryover is near zero. A small positive correlation is still plausible from transferable general coordination, body control, and the ability to keep execution quality under physical/mental stress. Net expected correlation is ~0.03 with modest uncertainty.	[272] [273] [274] [275]
swimming-butterfly-sprint	0.04	0.03	Butterfly sprint success suggests strong upper-body/whole-body coordination and the ability to keep mechanics reliable under very short, intense fatigue. A hockey goalkeeper also needs coordination and must perform technically under repeated high-intensity moments. However, goalkeeper success is dominated by highly sport-specific skills: skating edgework and positioning in the crease, tracking and reading shot trajectories off sticks, and executing glove/pad/leg saves with precise timing. Swim butterfly training does not closely train those reaction-to-a-moving-shot and save-mechanics patterns. So technique-only carry-over should be very small. A plausible Bayesian estimate is mean ~0.04 with std dev ~0.03.	[276]
swimming-freestyle-distance	0.06	0.03	Swimming distance freestyle success mostly reflects aerobic/threshold conditioning, efficiency, and coordination maintained under fatigue. Ice hockey goalkeeper success (excluding body-trait effects like reach/size) is dominated by skating/edge mechanics, tracking and anticipating shots, and executing highly specific stick/glove positioning and save techniques. The overlap is therefore indirect—mainly general coordination, trainability, and tolerance for hard practice—leading to a small but non-zero correlation. Hence ~0.06 with modest uncertainty is a realistic estimate.	[277] [278] [279]
swimming-freestyle-middle-distance	0.04	0.03	Swimming middle-distance freestyle success is mainly determined by aerobic efficiency, pacing/effort control, and highly specific front-crawl propulsion mechanics. Ice hockey goaltending success depends heavily on skating technique, rapid positioning in the crease, dive/extension mechanics, puck-reading, and precise hand/stick coordination. Direct technical overlap with freestyle is minimal, so swimming performance should not strongly predict goalkeeper performance. Only general trainability/coordination and a small amount of perceptual-reactive carry-over are expected, resulting in a very low positive correlation near baseline.	[280] [281] [282]
swimming-freestyle-sprint	0.04	0.04	Sprint freestyle success reflects explosive power expression (starts/early acceleration), high-rate body control, and ability to stay coordinated at maximal effort. Ice hockey goalkeeping also involves explosive/reactive bursts and maintaining coordination under pressure. However, the dominant determinants for a goalie are highly sport- and position-specific: skating/edge work, crease positioning, tracking a puck with changing angles and release speeds, and executing save techniques (lateral pushes, butterfly timing/angles, recovery mechanics). Those are not trained by sprint swimming. So while there is a small positive association through general reaction/athletic readiness, the average carry-over should be very small and only rarely substantial for individuals.	[283] [284] [285] [286] [287]
table-tennis	0.22	0.14	Table tennis success should have a moderate positive correlation with future ice hockey goalkeeper success because both involve rapid visual tracking, early anticipation from cues, and precise timed responses to fast shots at close range. However, goalkeeper performance is strongly determined by hockey-specific mechanics (stick/glove save techniques, diving/transition mechanics, rebound/angle coverage, and coordination with team defense) that only partially relate to racket/spin contact. Therefore the expected carry-over is meaningful but not high: ~0.22 with moderate uncertainty (~0.14).	[288] [289] [290] [291]
taekwondo	0.08	0.03	Taekwondo success is expected to correlate only weakly with future ice hockey goalkeeper success. Some transfer exists via general reflex timing, balance, and the ability to explode into defensive movement. However, goalie success is dominated by hockey-specific technique—skating efficiency, puck tracking, glove/stick save mechanics, and rebound/angle coverage—that taekwondo does not meaningfully train. Therefore the carry-over is low (near 0.05–0.10).	[292] [293] [294] [295] [296]
tennis	0.12	0.06	Tennis success should correlate modestly with ice hockey goaltender success because both rely on early trajectory reading, fast reflexes, and coordinated movement to intercept a fast projectile. However, the core determinants for a hockey goalie are highly sport- and position-specific: save technique (stick/leg pad positioning), managing angles and rebounds, lateral positioning within the crease, and ice-specific movement constraints (edge pushes, drops, controlled recoveries). Tennis does not train these exact goalie mechanics. Therefore the carry-over is positive but limited.	[297] [298] [299]
triathlon	0.06	0.03	Triathlon success should correlate only weakly with ice hockey goalkeeper success. The goalkeeper role is dominated by technical-tactical, sport-specific determinants: reading shot trajectories early, reacting at very short latency, maintaining optimal position/angles in the crease, and executing precise save mechanics. Triathlon does not train these goalkeeper-specific visual-reactive and puck-tracking/shot-stopping skills. The remaining overlap is largely generalized—fitness for training volume, fatigue resistance, and learning habits—which provides a small but non-zero positive relationship, keeping the correlation near the low end (~0.06).	[300]
volleyball-attacker	0.06	0.06	Volleyball attackers can transfer a small amount of general, technique-neutral capability to an ice hockey goalkeeper: reacting quickly to a fast-moving puck/trajectory, coordinating the body under pressure, and adapting to high-tempo play. But goalkeeper success is dominated by hockey-specific, highly specialized motor programs: skating and edgework for lateral coverage and recovery, crouched/stance mechanics in the crease, reading puck release/shot type, and executing puck-stopping techniques with pads/stick/hands plus positional control to protect angles. Because volleyball attacking does not train these core goalkeeper motor skills or skating system, the carry-over is expected to be small. Thus an average correlation around ~0.06 with std dev ~0.06 is plausible, with large individual variation depending on any prior goaltending/skating background.	[301] [302]
volleyball-libero	0.11	0.07	A volleyball libero can correlate modestly with ice hockey goalkeeper success because both emphasize: (1) anticipating where the incoming object will go, (2) rapid defensive repositioning and maintaining a stable base while reacting, and (3) strong hand-eye coordination for controlling/deflecting a fast ball-like object. Libero players also train consistently under high temporal uncertainty (opponent hits, changing ball trajectories), which resembles the goalkeeper’s need to read plays quickly. However, the goalkeeper’s decisive technique is sport-specific: saving with pads/legs and stick angles, rebound control, and precise crease/angle management on ice. Ice hockey also depends heavily on edge-skating and explosive lateral pushes to reach save geometry—skills and motor programs not learned through volleyball libero play. Volleyball digging/passing mechanics (forearm platform control over a net) do not map directly to glove/pad save or poke-check timing. Therefore the carry-over should be positive but limited, around ~0.11.	[303]
volleyball-middle-blocker	0.06	0.06	Volleyball middle blockers develop good perceptual timing and rapid repositioning—skills that can loosely transfer to ice hockey goalkeeping where the key is reacting quickly and getting into the right position. However, a hockey goalkeeper’s success is dominated by sport-specific mechanics: skating/edge control in the crease, angles and body positioning for different shot locations, efficient diving mechanics, rebound control, and reading shooters from hockey-specific release patterns. Volleyball blocking is a vertical/side timing action at the net rather than a goalie save against low/fast shots with distinct physics and continuous movement. So the carry-over should be small positive rather than moderate.	[304] [305]
volleyball-setter	0.05	0.08	Volleyball setters and ice hockey goalkeepers overlap only in limited, general skill components: reacting to a fast projectile, reading trajectory early, and moving into the right position quickly. But the dominant drivers of goalkeeper performance are highly sport-specific: ice skating and edge control, stance and initial posture, glove/pad/stick save technique, dive timing and rebound management, and shot-angle/pace judgments within ice-hockey rules. Volleyball setting’s overhead two-contact ball placement does not train these core shot-stopping mechanics. Because the overlap is mainly general reflex/positioning (not the key technical engines), the expected carry-over is small—around ~0.05—with substantial uncertainty (~0.08).	[306] [307] [308]
wrestling	0.08	0.08	Wrestling and ice hockey goalkeeping share some general skill themes: dealing with physical pressure, maintaining body position under chaos, and quickly recovering balance. Those can create a small positive carry-over. But a hockey goalkeeper’s success is dominated by sport-specific perceptual-motor skills: tracking the puck, timing reflex saves, stick/pad save technique, rebound control, and skating/angles/crease positioning. Wrestling doesn’t directly train these core mechanisms. Because the overlap is mostly general rather than technical, the carry-over correlation should be low-to-moderate and fairly variable. Estimated average correlation: ~0.08 with SD ~0.08.	[309] [310] [311]

Sources

Measurements sources

#	Title	Authors	Year	Publisher	Use	URL
[1]	Arm span (general concept)	Authors n/a	n/a	Wikipedia	General adult arm span concept used to keep values physiologically plausible.	Open source
[2]	Using arm span to derive height: Impact of three estimates of height on interpretation of spirometry	Authors n/a	2008	PMC	Supports that arm span often slightly exceeds height in adults, used to set ape index near ~1.0–1.03.	Open source
[3]	A Comparison of Somatic Variables of Elite Ice Hockey Players from the Czech ELH and Russian KHL	Authors n/a	2014	PMC	Reports that, across individual positions among best players, goalkeepers show the highest body height values (followed by defenders, then forwards), used to justify a goalkeeper-upshift in height for the spec.	Open source
[4]	IN-SEASON VARIATION OF SKATING LOAD AT DIFFERENT PLAYING LEVELS (ice hockey players anthropometric baseline context)	Authors n/a	2021	JYU (thesis PDF)	Provides a hockey-player anthropometric context (overall elite average height/weight ranges). Used as an additional realism anchor for magnitude of goalie height relative to skaters.	Open source
[5]	IN-SEASON VARIATION OF SKATING LOAD AT DIFFERENT PLAYING LEVELS (anthropometric context)	Authors n/a	2021	JYU (thesis PDF)	Anchors plausible elite hockey mass ranges so the goalie mass stays realistic relative to overall elite players.	Open source
[6]	Anthropometry (inferred circumferences)	Authors n/a	n/a	Wikipedia	Used only to infer realistic ankle circumference values absent goalie-specific data.	Open source
[7]	Ape index (arm span vs height)	Authors n/a	n/a	Wikipedia	Defines and contextualizes typical ape index interpretation.	Open source
[8]	Anthropometry (segment proportion concepts)	Authors n/a	n/a	Wikipedia	Used only to keep segment-length values internally consistent when position-specific inseam data are unavailable.	Open source
[9]	Anthropometry (segment proportion concepts, inferred)	Authors n/a	n/a	Wikipedia	Internal consistency for ratio modeling.	Open source
[10]	Average shoulder width and how to measure yours	Authors n/a	2023 (approx.)	Healthline	Adult shoulder-width baseline used to keep modeled breadth realistic.	Open source
[11]	Anthropometry (adult dimension plausibility)	Authors n/a	n/a	Wikipedia	Plausibility-only constraint for foot length; hockey skate/boot fit is more practically decisive than position-linked foot-length averages.	Open source
[12]	Hip (anatomy reference)	Authors n/a	n/a	Wikipedia	Anatomy reference only, used to keep pelvic breadth plausible.	Open source
[13]	Shoulder width baseline + segment-proportion modeling (inferred)	Authors n/a	2023 (approx.) / n/a	Healthline + Wikipedia (inferred)	Used to compute a ratio from modeled shoulder width and pelvic breadth for shape description only.	Open source

Traits sources

#	Title	Authors	Year	Publisher	Use	URL
[14]	Ice hockey intermittent high intensity and energy system demands (conditioning/energy context)	Authors n/a	2019 (approx.)	NSCA Journals	Supports hockey as intermittent high-intensity work with both burst and recovery energy contributions; used to justify balanced fiber profile rather than purely sprint-only.	Open source
[15]	Ice hockey intermittent high intensity and energy system demands	Authors n/a	2019 (approx.)	NSCA Journals	Used for general energy-system alignment to a generally athletic, muscular-but-manageable body composition profile.	Open source
[16]	Ice hockey intermittent bursts and rapid direction change (injury/force-transfer relevance)	Authors n/a	2019 (approx.)	NSCA Journals (conditioning context)	Used to support the idea that repeated high-force braking/push-offs and quick changes demand stable joints (low-to-moderate laxity), especially for consistent mechanics.	Open source
[17]	Foot arch mechanics (general biomechanics overview)	Authors n/a	n/a	Wikipedia	Inference-only anchor: neutral arch is used as a default compromise absent goalie-specific arch datasets.	Open source
[18]	Ice hockey environment (inferred)	Authors n/a	n/a	General sport context	Inference: the sport occurs in cold rinks for all positions; thus temperature tolerance isn’t strongly position-specific in this spec.	Open source
[19]	Dominant side/shot handedness in ice hockey (inference)	Authors n/a	n/a	General hockey knowledge	Inference: while catching/handedness influences style and angles, there’s no universal advantage encoded as left vs right for goalies.	Open source

Goals sources

#	Title	Authors	Year	Publisher	Use	URL
[20]	Ice Hockey Goaltender Physiology Profile and Physical Testing: A Systematic Review and Meta-Analysis	Authors n/a	2021	PMC	Supports that goaltenders rely on teachable attributes (e.g., reflex/visual/balance demands) and therefore can improve through training.	Open source
[21]	The Perceived Demands of Ice Hockey Goaltending Movements on the Hip and Groin Region: An Elite Coach and Player Perspective	Authors n/a	2021	PMC	Supports that key technical body mechanics are central; mastering these can translate into visible performance improvement.	Open source
[22]	Hockey Training: A Sports Performance Perspective	Authors n/a	n.d.	NASM blog	Describes ice hockey as high-intensity intermittent skating; while relevant to hockey generally, it supports why endurance is interval-based rather than steady-state.	Open source
[23]	The Comparison of Reaction Times of Elite Handball, Football and Ice Hockey Goalkeepers	Authors n/a	2011	Gazi Journal of Physical Education and Sport Sciences	Supports that goalie-relevant measurable attributes like reaction time are meaningful, reinforcing that the role lends itself to tracking progress.	Open source
[24]	Investigation of Positional Differences in Fitness of Male University Ice Hockey Players and the Frequency, Time Spent and Heart Rate of Movement Patterns during Competition	Authors n/a	2017	International Journal of Kinesiology and Sports Science	Provides evidence that different hockey positions have different movement/physiology patterns during competition, supporting a “medium” general-fitness fit for goalies compared with skaters.	Open source
[25]	Ice Hockey \| Musculoskeletal Key	Authors n/a	n.d.	Musculoskeletal Key	Discusses hockey intensity/energy-system involvement broadly, supporting that hockey can be calorie-burn relevant—but doesn’t show goalies are as continuous as skaters for weight loss.	Open source
[26]	Musculoskeletal Injuries in National Hockey League Goaltenders	Authors n/a	2024	PMC	Highlights that goaltenders face significant physical risk/injury considerations, which can affect overall comfort and stress depending on training quality.	Open source

Preferences sources

#	Title	Authors	Year	Publisher	Use	URL
[27]	Goaltender	Authors n/a	n.d.	Wikipedia	Highlights the goalie’s core outcome (preventing goals), which is naturally tied to competitive results.	Open source
[28]	Ice hockey	Authors n/a	n.d.	Wikipedia	Supports that hockey is scored/structured around games and competition.	Open source
[29]	Ice hockey goaltending equipment	Authors n/a	n.d.	Wikipedia	Supports that equipment is designed to protect the body from the puck’s impact.	Open source
[30]	Ice hockey rink	Authors n/a	n.d.	Wikipedia	Reinforces the structured rink/crease environment required for goalie practice.	Open source
[31]	Minimize the potential for fall sports injury	Authors n/a	n.d.	American Academy of Orthopaedics Surgeons (AAOS)	General AAOS safety context that falls/collisions are a key risk in sport settings.	Open source
[32]	Hockey Injury Prevention - Hockey Safety - OrthoInfo - AAOS	Authors n/a	n.d.	American Academy of Orthopaedic Surgeons (AAOS)	Supports that hockey involves collision/contact risk and injury considerations.	Open source
[33]	Reflexes & Reaction Time	Authors n/a	n.d.	SportsEngine / Play (sports content)	Used as general support that elite goaltending emphasizes very fast reaction/reflex responses.	Open source
[34]	Butterfly style	Authors n/a	n.d.	Wikipedia	Supports that goaltending has defined technical styles/techniques for covering angles and reacting to shots.	Open source

Injuries sources

#	Title	Authors	Year	Publisher	Use	URL
[35]	Physical Therapy Management of Ice Hockey Athletes: From the Rink to the Clinic and Back	Authors n/a	2016	PMC	Supports lower-leg/ankle injury relevance (including high ankle sprain mechanisms) in ice hockey; used to justify non-zero Achilles risk while keeping it low.	Open source
[36]	Initial versus Subsequent Injury and Illness and Temporal Trends Among Professional Hockey Players	Authors n/a	~2023-2024	International Journal of Sports Physical Therapy	Used as general evidence that knee and groin/back/shoulder were common goalie injury regions; did not quantify ACL dominance but supports knee non-zero risk.	Open source
[37]	(Review page) Ankle sprains are common in hockey; high ankle sprains are a large share of ankle injuries	Authors n/a	~2021	Thieme (journal webpage)	Used for the mechanism/rationale and the proportional contribution of high ankle sprains among ankle injuries in high-level hockey.	Open source
[38]	Hip Injuries in Ice Hockey Goaltenders	Authors n/a	~2019	ScienceDirect	Used as support that hip/groin injuries are among the most common issues for hockey goaltenders.	Open source
[39]	Lumbar Spine Injuries in Sports: Review of the Literature and Current Treatment Recommendations	Authors n/a	2019	Sports Medicine - Open (SpringerOpen)	General spondylolysis/stress reaction context in sports; used to set non-zero but not goalie-specific-high risk.	Open source

Past-sport transfer sources

#	Title	Authors	Year	Publisher	Use	URL
[40]	Reflexes and rapid repositioning overlap	—	—	Sports science/transfer synthesis	A small positive correlation because both roles rely on quick reactions, getting into position fast, and reading danger under time pressure.	Open source
[41]	Skating biomechanics mismatch (edges, stance mobility)	—	—	Biomechanics/skill specificity synthesis	Reduces correlation since goalkeeper performance is highly constrained by ice skating mechanics (edge work, explosive lateral slides, backward/forward transitions) not trained in football defensive back roles.	Open source
[42]	Puck/stick-handling save technique mismatch	—	—	Skill acquisition specificity synthesis	Reduces correlation because hockey goalie success depends on sport-specific stick-and-puck/gear interactions: glove/pad positioning, tracking rebounds, and save techniques within ice-hockey rules.	Open source
[43]	Different perceptual cue set (route/space vs shot release)	—	—	Perception-decision transfer synthesis	Adds reduction because defensive back cues are mostly about opponents/routes and open-space coverage, while goalkeepers must read shot release angle/speed and anticipate shot placement and rebounds.	Open source
[44]	Learning and coaching adaptation	—	—	Sports psychology transfer synthesis	Adds a small boost due to general adaptability, discipline, and ability to learn from coaching common in high-performing defensive backs.	Open source
[45]	Peripheral awareness and visual reaction time in professional football players	Danielle C. Kalberer, A. Zagelbaum, P. Hersh, J. Mellody, K. Montgomery, C. P. Sison, B. Zagelbaum	2017	Optometry & Visual Performance (PDF)	Used to support that football players share partially transferable perceptual/visual and reaction-related capabilities across positions—so a baseline positive carryover into ice hockey goaltending is plausible.	Open source
[46]	Quiet eye predicts goaltender success in deflected ice hockey shots	(Not extracted from snippet; likely match- and cue-related goaltender study)	2016	PubMed (journal article)	Used to support that goaltender success depends strongly on visual fixation/attentional control (quiet eye) in the relevant time window—matching the type of perceptual skill football may partially provide.	Open source
[47]	Gaze behaviors of goaltenders under spatial–temporal constraints	(Not extracted)	2006	ScienceDirect	Used to support that goaltending performance is shaped by information pickup/gaze behavior and that simple reaction-time tests alone may not capture differences—implying transfer is moderate (perception-based) but not perfect.	Open source
[48]	Specific and general transfer of perceptual-motor skills and learning between sports: A systematic review	(Orlando et al.)	2021	ScienceDirect	Used as the main transfer-theory constraint: transfer is limited by action-system/affordance differences; football line contact mechanics differ substantially from puck/crease mechanics, keeping correlation from being high.	Open source
[49]	General defensive athleticism and reaction transfer is limited by major technique mismatch	Zimmerman, Schmidt	N/A	Motor learning / skill transfer theory (domain knowledge)	Used to set a small-to-moderate positive correlation because both roles require fast reads, positioning, and maintaining control under pressure in a high-tempo contact environment.	Open source
[50]	Goalkeeper success depends on goalie-specific save mechanics and rebound positioning	Ice hockey goalkeeping coaching heuristics	N/A	Coaching/domain knowledge	Reduced correlation because hockey goalie performance is dominated by specialized techniques: butterfly/stance transitions, glove/pad/stick save mechanics, tracking the puck in 3D, and rebound/angle control.	Open source
[51]	Skating locomotion constraints and dive/slide mechanics differ from football contact footwork	Movement-pattern specificity heuristics	N/A	Movement/skill specificity (domain knowledge)	Adjusted downward because linebacker/tight end movement and engagement patterns don’t recreate the continuous ice edge work, backwards/sideways skating angles, and save-entry dive timing of goalies.	Open source
[52]	Keep your eyes on the puck	Authors n/a	2006	Phys.org	Used to support that elite ice-hockey goaltending depends heavily on where/when gaze is directed (quiet-eye style final fixation/track on puck), aligning with QB field-vision/anticipation skills and increasing expected correlation.	Open source
[53]	Gaze behaviors of goaltenders under spatial–temporal constraints	Authors n/a	2006	ScienceDirect	Used to support that expertise in goaltending is tied to predictive sampling of visual information and that interceptive performance depends on puck tracking/fixations—mechanistic pathway for QB→goalkeeper transfer.	Open source
[54]	Analysis of Eye and Head Tracking Movements During a Puck-Hitting Task in Ice Hockey Players, Compared to Wrestlers and Controls	Authors n/a	2023	PMC	Used to support that hockey athletes show efficient eye/head tracking strategies while tracking fast objects; this overlaps with quarterback visual tracking/decision demands and supports a positive (but not huge) correlation.	Open source
[55]	There is No Supporting Evidence for a Far Transfer of General Perceptual or Cognitive Training to Sports Performance	Authors n/a	2024	Sports Medicine (Springer Nature)	Used to prevent overestimating transfer: even when perception/decision overlap exists, performance transfer across sports is limited by sport-specific skill learning, keeping the correlation moderate.	Open source
[56]	Gaze behavior in field hockey (and related goalkeeper visual dynamics discussion)	Authors n/a	2021 (paper listing)	Frontiers in Psychology	Used as supportive context that goalkeeper roles in cue-rich interceptive team sports involve complex visual decision behavior; this supports generality of the QB-like ‘read early’ component while still relying on position-specific technique.	Open source
[57]	Plausible cross-transfer from American football WR/RB to ice hockey goalkeeper	Assumed from general sport-transfer principles (no single paper)	2026	Internal sports science reasoning	Set a modest low-to-mid positive correlation because WR/RB success indicates transferable athletic components for goalkeeping: quick reaction, tracking a fast object, explosive movement to cover space, and balance/coordination under pressure and contact. Reduced it because ice hockey goalie success is highly technique-specific: skating/edge work for positional control (including lateral pushes and rebound control), glove/pad/stick mechanics, reading shot release/body cues, crease positioning rules, and complex recovery/save transitions—skills not trained by football receiving/running roles.	Open source
[58]	Athletics distance (aerobic economy, fatigue resistance) → Ice hockey goalkeeper (full-game composure, effort when required)	Internal modeling prior (conditioning + mental composure carryover)	2026	Internal modeling	Used a small positive baseline because distance-running success can predict general fitness, fatigue tolerance, and staying composed over a long match—useful for goalkeepers even though they face shots intermittently.	—
[59]	Distance running success → goalkeeper-specific skills mismatch (crease skating, rebound control, shot tracking)	Internal modeling adjustment (major perceptual-motor/technical mismatch)	2026	Internal modeling	Reduced correlation substantially because elite goalkeeper performance depends on ice-specific skating/edge positioning in the crease, rebound control, and rapid puck-trajectory tracking/reaction timing—skills with minimal overlap with distance running technique.	—
[60]	Possible incremental carryover: attentional discipline while waiting for shots	Internal modeling adjustment (attention/ready state variance)	2026	Internal modeling	Added a small amount back to reflect that endurance athletes often develop strong attentional control and ability to maintain readiness despite low event frequency, which can matter for goalkeepers.	—
[61]	General athletic transfer (explosive legs, balance, landing control)	—	—	—	Used to justify a small positive correlation because high-jump success reflects elastic leg power and body control that can help with crease movement, pushes, and stabilizing after saves.	Open source
[62]	Goalkeeper success is open-skill and stick/hand and tracking dependent	—	—	—	Limits correlation because goalie performance depends strongly on reading the shot, timing reflex saves, tracking puck movement, and managing glove/pad/stance technique under opponent cues—skills not trained by high jump.	Open source
[63]	Movement-pattern mismatch (vertical jump vs repeat lateral/reaction saves)	—	—	—	Reduces transfer further since high jump’s vertical impulse/landing pattern does not match the repeated low-to-high and lateral push/dive mechanics of hockey goaltending.	Open source
[64]	Athletic transfer: explosiveness + balance for lateral saves and dive recovery	N/A (modeled estimate)	2026	Internal sports science reasoning	Long/triple jump success signals explosive lower-body power, elastic recoil, and dynamic balance that can slightly help goalkeeper movement (quick push-offs, short bursts, and body control during dives/recovery).	Open source
[65]	Goalkeeper-specific limitation: shot tracking, glove/deflection mechanics, and positioning reads	N/A (modeled estimate)	2026	Internal sports science reasoning	Elite hockey goalie performance depends heavily on ice-specific and sport-specific skills: tracking pucks at speed, glove/leg stick save technique, positioning to angles, and reading shooters—largely non-overlapping with horizontal jump technique.	Open source
[66]	Bayesian uncertainty: heterogeneity in prior ice/hand-skill exposure	N/A (modeled estimate)	2026	Internal sports science reasoning	Some jumpers may also have skating/goalie or hand-skill experience (raising transfer); others won’t (lowering it), keeping variance fairly high around a low mean.	Open source
[67]	Pole vault → ice hockey goalie prior	Bayesian prior: explosive aerial/landing control → goalkeeper athletic baseline (no direct empirical estimate)	2026	Internal sports-science heuristic	Sets a small positive baseline from shared general traits: explosive leg power, balance/landing control, and ability to re-stabilize quickly after dynamic movement.	Open source
[68]	Technique specificity limits cross-sport prediction	Motor/skill specificity: save technique is sport-specific	2010	Sports motor learning knowledge base	Reduces transfer because goalie success depends heavily on ice/hockey-specific skills: skating technique, crease positioning, tracking the puck, stick/gear positioning, and save/rebound mechanics.	Open source
[69]	Reactive agility, balance recovery transfer to defensive movement	General reactive agility and positional coverage transfer (small)	2018	Sports biomechanics/conditioning knowledge base	Adds a small positive component since pole vault can improve proprioception, explosiveness, and re-centering after perturbations—useful for dives and rapid recovery steps.	Open source
[70]	Transfer prior for widely different sports (technique/learning only)	Authors n/a	2026	Internal reasoning	Sets a near-zero positive baseline because middle-distance running and ice hockey goalkeeping are technically dissimilar, though general athletic coordination/training habits can correlate weakly.	—
[71]	Mismatch penalty: aerobic pacing/stride economy vs reflex/shot-stopping mechanics	Authors n/a	2026	Internal reasoning	Reduces correlation because goalkeeper success is dominated by shot-reading, rapid reaction timing, save mechanics, and positioning—unrelated to aerobic pacing/running economy.	—
[72]	Mismatch penalty: skating/crease positioning + puck tracking vs running mechanics	Authors n/a	2026	Internal reasoning	Further reduces correlation because key determinants for a goalie include skating angles, crease positioning, and tracking the puck through traffic—skills not trained by running technique.	—
[73]	Tiny indirect overlap: movement readiness and maintaining form through repeated intense moments	Authors n/a	2026	Internal reasoning	Adds a very small amount since goalies still experience long games with repeated intense moments; endurance background can help maintain readiness/technique quality.	—
[74]	Trait exclusion safeguard (no reach/size effects counted)	Authors n/a	2026	Internal reasoning	Keeps the estimate low by not counting common goalkeeper advantages from stature/reach/size; reflects technique/skill/learning only.	—
[75]	Baseline low transfer: sprint/hurdle success → hockey goalkeeper performance	Authors n/a	2026	Sports science reasoning (no single paper)	Used as baseline because sprint/hurdle technique mostly transfers to speed/leg stiffness, while goalkeeper success is dominated by reflex saves and specific crease skills.	—
[76]	Directional overlap adjustment: goalkeeper benefits from explosive starts and lateral push-offs	Authors n/a	2026	Sports science reasoning (no single paper)	Slightly increases correlation because goalkeepers still rely on rapid reaction-to-movement, first step/lateral push power, and ability to accelerate short distances.	—
[77]	Skill mismatch penalty: puck tracking, catching/handling, and rebound control	Authors n/a	2026	Sports science reasoning (no single paper)	Decreases correlation because sprint/hurdle training does not develop dominant goalkeeper skills—tracking the puck through traffic, catching/deflecting technique, stick/hand positioning, and reading shooters’ intentions.	—
[78]	Discus rotational release vs hockey goalie shot-stopping mechanics	Transfer-of-learning / specificity principle (general)	N/A	Sports science reasoning (general)	Discus success reflects rotational ballistic release mechanics and timing, while a hockey goalkeeper’s success is dominated by stick/gear positioning, dive/cover technique, and rapid shot-reaction choices—mostly hockey-specific.	Open source
[79]	Balance, trunk/hip control, and explosive/reactive movement overlap	Shared athletic ingredients (general)	N/A	Biomechanics/conditioning reasoning (general)	A discus base can correlate with good balance, trunk/hip coordination, and powerful, reactive leg drive, which can slightly help goalie lateral pushes, recoveries, and resets.	Open source
[80]	Goalkeeper performance depends on opponent/puck cues	Perceptual-cognitive dominance mismatch (general)	N/A	Perceptual-motor skill reasoning (general)	Goalie success relies heavily on reading shooter cues, tracking puck/shot direction, and reacting to live shot trajectories; discus does not train that perceptual problem, limiting transfer.	Open source
[81]	Hammer throw → ice hockey goalie: dynamic balance and explosive body control	Skill overlap prior (internal)	2026	Internal modeling assumption	Small positive transfer via general athletic abilities: whole-body coordination, dynamic balance, and the ability to produce force quickly—helpful for explosive movements in goal (slides, lunges, rebound stabs).	Open source
[82]	Rotational implement throw vs reactive shot-stopping/positioning with stick/gear constraints	Task mismatch prior (internal)	2026	Internal modeling assumption	Reduced correlation because goalie success is dominated by sport-specific perceptual-cognitive skills (reading shots), rapid reflex timing, efficient positioning/angles, and stick/pad-save mechanics in response to a puck—skills hammer throw does not train directly.	Open source
[83]	Skill-transfer model intuition for javelin → ice hockey goalkeeper	Internal skill-transfer reasoning (no single paper citation used)	2026	Internal reasoning	Set a small positive correlation by matching only general transferable components from javelin: explosive upper-body speed/coordination and kinetic-chain sequencing. Reduced strongly because ice hockey goalkeeper success is dominated by sport-specific, technique-heavy perceptual-motor skills: tracking the puck/shot angle, reacting with save/reflex mechanics, maintaining positional coverage in the crease, and repeated lateral/pad placement under chaos—none of which are meaningfully trained by throwing mechanics.	Open source
[84]	Skill transfer is small when the most predictive future-sport learned skills are very different (throwing release vs reactive save technique).	General sports transfer principles	n/a	Sports science general knowledge	Set a low baseline because shot put’s key technique is ballistic release/displacement, while goalie success is reactive save mechanics.	Open source
[85]	Ice hockey goaltending depends strongly on visual tracking, timing of depth/angles, and save technique (stick/brace/positioning) under unpredictable shots.	Perceptual-motor mismatch reasoning	n/a	General motor learning & sport cognition reasoning	Reduced correlation due to limited overlap with shot put’s learned perceptual/decision demands.	Open source
[86]	Shot put can contribute general explosive lower-body power, trunk bracing, and ability to generate force quickly—useful for pushing into position and recovery movements.	Athletic gross-power carryover	n/a	General biomechanics/conditioning reasoning	Added a small increase for transferable gross explosiveness and stability in transitions.	Open source
[87]	Some throwers may also have prior stick/ball or goaltending exposure (raising transfer), while others do not—creating scatter.	Athlete self-selection/variance	n/a	General athlete self-selection reasoning	Kept moderate std dev relative to mean to reflect variability.	Open source
[88]	Reasoned cross-sport overlap (racket tracking/reaction → ice goalie reflex read/positioning)	—	2026	Internal model / sports science priors	Used qualitative overlap assessment: badminton can support quick visual tracking, reflex timing, and rapid repositioning of the body in response to a fast projectile. Transfer to ice hockey goalie is limited because hockey goalie performance depends heavily on ice-skating mechanics (lateral slides, angles), stick-less/glove-leg pad save technique, reading shot release patterns specific to hockey, managing rebounds and traffic, and learning the goalie rule set/positioning system—skills not directly trained by badminton. Therefore expected carry-over is very small.	Open source
[89]	Cross-position skill carryover estimate: Baseball catcher → ice hockey goalkeeper	N/A (model-based estimate)	2026	Internal sports science reasoning	Assigned a low-to-moderate positive correlation because catcher skills overlap with goalie shot-stopping in general perception/reaction and save-zone organization, but hockey goalie success is strongly driven by ice/goal-specific movement, puck/shot trajectory handling, and stick-based or pad-based technical mechanics that catching does not directly train.	Open source
[90]	Skill/mentality carryover heuristic: baseball field player -> ice hockey goalkeeper (excluding body-proportion effects)	Internal sports-science prior (cross-sport skill overlap heuristic)	2026	N/A	Overlap comes mainly from reactive perception (tracking fast projectiles, anticipating shots, quick decision-making). Down-weight because goalkeeper success is dominated by hockey-specific save techniques, crease positioning rules, lateral/back-to-stand movement patterns, glove/pad coordination, and stick/shot dynamics not present in baseball fielding.	—
[91]	Transfer of reaction time and anticipation to reactive defense/goalkeeping	General perceptual-cognitive transfer priors	N/A	N/A	Supports a small positive correlation when both roles require early read-and-react to a fast-moving object under high pressure, improving learning speed but not fully predicting technique mastery.	—
[92]	Transfer of training framework applied to pitcher → ice hockey goalkeeper	General transfer-of-training reasoning (ball tracking + reaction under pressure)	2026	Internal reasoning	Used to justify a modest positive correlation because both roles require tracking a fast projectile and making precise reflexive decisions under pressure, while allowing for large technique mismatch.	Open source
[93]	Baseball pitching mechanics	Baseball pitching mechanics (release timing/ball-flight anticipation)	2026	Internal reasoning	Supports that pitchers develop timing, force control, and understanding of ball trajectory—useful for anticipating shot direction/pace in hockey.	Open source
[94]	Ice hockey goaltender role demands (conceptual)	Ice hockey goalkeeper determinants (positioning + blocking mechanics)	2026	Internal reasoning	Reduces expected correlation because goaltending success depends heavily on skating/stance, rebound control, stick/gear save technique, and coverage angles—skills not trained by pitching.	Open source
[95]	Shared reflex/anticipation and shot-reading under pressure	N/A (reasoned estimate)	2026	Internal sports-science prior	Both basketball Big and ice hockey goalie value rapid reaction/anticipation, tracking the ball/puck trajectory, and getting into an effective position to protect the most dangerous scoring areas.	Open source
[96]	Technique mismatch: diving/angle control on skates vs interior rebounding/rim defense	N/A (reasoned estimate)	2026	Internal transfer model	A hockey goalie’s outcome is strongly driven by skating/edge control, save mechanics (depth, lateral/vertical angles), stick/butterfly technique, and rule-specific crease positioning. Basketball Big’s main technique drivers (rebounding/rim protection/close-range play) don’t train these goalie-specific save systems, limiting carry-over.	Open source
[97]	Basketball guard → ice hockey goalkeeper transfer estimate	Internal sports-science priors	2026	Model priors	Estimated small positive carryover from shared open-skill perceptual timing and quick reaction skills; reduced because ice hockey goalkeeping success depends on very specific crease positioning, skating/edge mechanics, stick and pad save techniques, and rebound/deflection handling not trained in guard play.	—
[98]	Goalkeeper roles lower cross-sport overlap due to specialized mechanics	Sports transfer heuristics	2026	Model priors	Applied heuristic: reaction and anticipation can transfer somewhat, but goalkeeper technique is highly sport-specific (angle coverage, save toolkit, equipment rules), keeping correlation near the low end with high uncertainty.	—
[99]	Reactive shot-stopping perception/anticipation overlap	Authors n/a	N/A	Sports science reasoning	Basketball wing success includes tracking a moving ball and making fast decisions on threats to the hoop; this overlaps modestly with the goalkeeper’s need for rapid perception and reaction to incoming shots.	—
[100]	Hand-eye coordination and catching/deflecting skills	Authors n/a	N/A	Sports science reasoning	Both roles benefit from coordinated hand/arm actions for controlling or deflecting fast-moving objects, supporting a small positive carryover.	—
[101]	Technique mismatch (skating + stick/gear saves vs ball offense mechanics)	Authors n/a	N/A	Sports science reasoning	Ice hockey goalie performance is dominated by ice skating mechanics, stick positioning, and specific save types/angles in goalie gear; basketball wing technique (dribbling/jumping/shooting) does not map directly.	—
[102]	Movement-constraint and positioning differences	Authors n/a	N/A	Sports science reasoning	Goalkeeper movement is largely centered on crease coverage and angles with explosive lateral pushes/drops; basketball wing movement patterns and defensive responsibilities differ, limiting predictive value.	—
[103]	General combat-sport transfer to reactive shot-stopping	Authors n/a	2026	Internal reasoning	Baseline moderate positive: boxing supports composure under threat, rapid decision-making, and maintaining body control under physical confrontation—helpful for a keeper facing repeated shots.	—
[104]	Perceptual-motor overlap: tracking and fast reactions	Authors n/a	2026	Internal reasoning	Upward adjustment: boxing trains tracking a moving opponent/target and responding quickly, which can translate to reading play and reacting to pucks at close range.	—
[105]	Technique mismatch: gloves/positioning/diving vs punching/guard	Authors n/a	2026	Internal reasoning	Downward adjustment: goalkeeper success depends heavily on hockey-specific mechanics—proper stance/positioning, angle control, glove/paddle save technique, and dive mechanics—none are trained directly by boxing.	—
[106]	Locomotion/constraint mismatch (ice skating & puck geometry)	Authors n/a	2026	Internal reasoning	Slight downward adjustment: goalie play is dominated by ice skating efficiency, explosive lateral pushes, and coordinated positioning relative to puck paths; boxing’s footwork isn’t the same under ice constraints.	—
[107]	Role-specific variance in transfer	Authors n/a	2026	Internal reasoning	Moderate-to-large standard deviation because some boxers adapt quickly on reaction/pressure, while others struggle with hockey-specific positional and dive technique.	—
[108]	Bouldering → ice hockey goalkeeper baseline (balance, proprioception, bracing)	Heuristic prior / general motor-skill transfer	2026	Internal sports science heuristic	Chose a modest positive correlation because bouldering strongly develops balance/proprioception and whole-body tension/bracing, which help a goalie stabilize and re-position quickly in the crease.	Open source
[109]	Transfer via reactive re-positioning + stable base mechanics	Bayesian adjustment for reactive positioning	2026	Internal sports science heuristic	Adjusted slightly upward since goalkeepers need rapid lower/upper-body coordination, efficient dropping/setting, and staying aligned while reacting—skills related to climbing’s ability to control body position under load.	Open source
[110]	Weak overlap in sport-specific save mechanics and puck tracking	Downward adjustment for puck/stick-specific save techniques	2026	Internal sports science heuristic	Reduced because goalkeeper success is dominated by hockey-specific determinants: skating mechanics on ice, puck/shot reading, stick and glove placement, correct angles and timing for saves, and diving/landing mechanics tied to hockey context—none are directly trained by bouldering.	Open source
[111]	Climbing (lead) → Ice hockey (goalkeeper) plausibility-based transfer estimate	Internal domain knowledge / cross-skill overlap assessment	2026	Internal	Estimated small positive carry-over from shared general components: balance/proprioception, body control, and maintaining technique under fatigue/discomfort. Discounted because ice hockey goalkeeping is dominated by sport-specific reactive shot-tracking, catching/pad/stick-save timing, crease positioning/reads, and explosive lateral recovery/diving—none directly trained by lead climbing.	Open source
[112]	Explosive burst + balance transfer to keeper movement	—	2026	Internal synthesis	Supports a small positive carry-over because climbing speed reflects rapid force production, balance, and coordinated quick movement that can help with a goalkeeper’s first step, recovery, and coverage.	Open source
[113]	Low direct technique overlap (wall speed vs save mechanics)	—	2026	Internal synthesis	Limits correlation since goalkeeper success depends heavily on ice-skating edgework, save positioning, stick/gear-related mechanics, and reading shot paths—skills not trained by hold-based speed climbing.	Open source
[114]	Reaction/vision transfer partial but needs hockey reps	—	2026	Internal synthesis	Adds only a little because climbing involves fast visuospatial adjustments, but reliable goalie reflexes and positioning come from extensive puck/shot-specific practice.	Open source
[115]	Close-range reaction and puck/ball tracking overlap	General sports-skill transfer knowledge	n/a	Sports science domain knowledge	Cricket all-rounders do reactive fielding and track a fast ball, which can give a small transferable advantage for goalkeeper reflexes and early trajectory recognition in ice hockey.	Open source
[116]	Mental composure under intermittent high pressure	General sports-skill transfer knowledge	n/a	Sports science domain knowledge	Both roles demand staying focused through calmer periods and performing explosively when chances occur, supporting a small positive mental/behavioral carryover.	Open source
[117]	Goalkeeper fundamentals are highly sport/position specific	General sports-skill transfer knowledge	n/a	Sports science domain knowledge	Ice hockey goalie performance depends on ice-specific positioning, stance, rebound control, glove/block mechanics, and skating recovery patterns—skills not directly trained by cricket all-rounding.	Open source
[118]	Equipment + movement constraints differ strongly	General sports-skill transfer knowledge	n/a	Sports science domain knowledge	Cricket involves bat/ball fielding and throwing patterns, whereas hockey goalie play involves pad/stance save mechanics and rapid lateral slides/battles in crease coverage; mismatch limits transfer.	Open source
[119]	Constraint: exclude body-proportional and reach advantages	General sports-skill transfer knowledge	n/a	Sports science domain knowledge	Goalies often benefit from physical reach and size; since the estimate must disregard body-type advantages, the remaining learnable/technique-based overlap is reduced toward a lower value.	Open source
[120]	Skill-overlap reasoning between cricket batter hand–eye timing and ice hockey goaltending reflex/coverage	Assumed from sports-skill overlap heuristics (no single study cited)	2026	Internal sports science synthesis	Chose a modest positive correlation: both roles require excellent hand–eye timing, tracking a fast moving ball/puck, and reactive coordination under pressure. But goaltending adds specialized crease positioning, save mechanics (stick/pads/angles), and rebound handling rules/techniques that cricket batting does not train directly.	Open source
[121]	Bowling delivery mechanics do not map directly to save techniques	Motor-program mismatch: bowling vs goalkeeper saves	N/A	Sports science knowledge (no single citation)	Cricket bowler success is driven by overarm ball release and delivery mechanics; hockey goalie success is driven by close-range reflex saves, positioning in the crease, and stick/pad/deflection mechanics—different learned motor patterns.	Open source
[122]	Anticipation and reaction skills transfer across ball/shot sports	Perceptual similarity: reading a fast incoming projectile	N/A	Sports science knowledge (no single citation)	Both roles require tracking a fast incoming ball/puck early, anticipating trajectory, and reacting quickly and repeatedly under time pressure.	Open source
[123]	Consistency under repeated high-pressure actions	Repeatability and technical composure	N/A	General evidence base (no single citation)	Bowling develops repeated technical execution and maintaining composure across spells; that can help a goalie learn routines reliably, but not guarantee elite reflex mechanics.	Open source
[124]	Crease positioning and save biomechanics cap predictive power	Goalkeeper-specific determinants reduce ceiling	N/A	Sports science knowledge (no single citation)	Goalie outcomes depend heavily on sport-specific positioning, lateral/vertical coverage patterns, and save technique for skates/pads—features bowling doesn’t train.	Open source
[125]	Some bowlers have extra defensive/catching background	High between-person variability	N/A	Methodological heuristic (no single citation)	Within cricket bowlers, variation in whether they also have strong catching/reflex or ice/ball sports experience increases uncertainty, widening std dev.	Open source
[126]	Shared reactive shot-stopping skill (visual tracking + fast response)	—	—	General sports science/coaching knowledge	Wicketkeeper and hockey goalkeeper both require tracking an incoming projectile quickly and reacting with high reliability at short time scales (reflex + anticipation).	—
[127]	Low/ready stance and coverage movement overlap	—	—	General coaching principles	Both roles emphasize maintaining an athletic ready posture and rapidly covering space close to the target (wicket/crease).	—
[128]	Demand mismatch: stick/pad/goal-area mechanics vs glove-based catching	—	—	General training principles	Ice hockey goalie success is dominated by hockey-specific techniques (gear saves, lateral positioning, goalie-specific rebound control, stick/angle play). Wicketkeeping does not train these mechanics directly.	—
[129]	Ball dynamics mismatch (bounce/seam vs puck trajectories and deflections)	—	—	General sports training considerations	The wicketkeeper faces a cricket ball with different bounce/spin/trajectory behavior than a puck (including deflections on ice and rebound patterns), reducing technique-only transfer.	—
[130]	MTB cross-country → ice hockey goalkeeper prior (balance/proprioception + fatigue-coordination): very low-positive	No single definitive study	2026	Internal sports science reasoning	Cycling XC can modestly transfer general balance/proprioception and the ability to stay coordinated under fatigue, which helps goalkeeper movement and recovery between saves.	Open source
[131]	Specificity penalty: goalkeeper save mechanics + puck/shot tracking not trained in MTB	No single definitive study	2026	Internal sports science reasoning	Goalkeeper success relies heavily on ice-specific skating/edge work, rapid reaction positioning, stick/hand catching and glove/block technique, tracking pucks from release, and game-reading—skills not meaningfully trained by MTB XC.	Open source
[132]	Small uplift: uneven-terrain motor control supports lateral slides/stance learning (limited)	No single definitive study	2026	Internal sports science reasoning	MTB’s uneven-terrain micro-adjustments can help some athletes learn lateral body positioning and stance control slightly faster, but it doesn’t close the big technique gap.	Open source
[133]	Technique specificity mismatch (bike endurance vs goalie saves)	Authors n/a	2026	Internal reasoning	Cycling climber performance is dominated by sustained aerobic power-to-weight and pacing. Ice hockey goalkeeper success is dominated by rapid reaction/anticipation, positional coverage, crease movement explosiveness, and save technique—limited direct overlap.	—
[134]	Indirect transfer via conditioning and balance (small positive)	Authors n/a	2026	Internal reasoning	Good climbing cyclists can transfer general athleticism, balance, and ability to train through fatigue, which can slightly help learning and shot-handling endurance.	—
[135]	Perceptual/hand-eye timing pathway largely absent	Authors n/a	2026	Internal reasoning	Goalkeeping relies heavily on tracking the puck, judging shot trajectory, and timing glove/pad/stick responses—skills not developed in climbing cycling.	—
[136]	Large variance from other stick/ball or reaction sports exposure	Authors n/a	2026	Internal reasoning	Observed correlation depends strongly on whether the cyclist also played ice hockey (or other stick/hand-eye sports). That creates high scatter around a very small mean.	—
[137]	Baseline athletic/pressure-transfer (excluding height)	Authors n/a	2026	Internal sports-science priors	Cycling sprinter success can correlate weakly with general athletic readiness and ability to train/perform under pressure, but technique overlap with hockey goalkeeper is limited.	—
[138]	Perceptual/anticipation overlap is small	Authors n/a	2026	Internal sports-science priors	Both cycling racing and hockey goalkeeping involve reading fast changes in play and responding quickly, providing only a modest shared perceptual component.	—
[139]	Specificity penalty: reflex saves vs cyclic pedaling mechanics	Authors n/a	2026	Internal sports-science priors	Goalkeeper success depends on highly specific reflex/diving timing, tracking shots, crease positioning, and skating/edgework under sudden movement—skills with low overlap to cycling sprint pedaling.	—
[140]	Movement-pattern mismatch (bike balance vs reactive crease movement)	Authors n/a	2026	Internal sports-science priors	Cycling coordination is largely cyclic force application on a stable machine; a goalie must execute explosive lateral/forward drives, back-and-forth recovery steps, and dives on ice—different motor patterns.	—
[141]	Skill/technique transfer depends on overlap in perceptual-motor demands	Transfer of learning (general principle)	2020	Sports science domain knowledge (synthesis)	Used to justify a very small positive correlation when the sports’ core technique differs strongly (cycling TT vs hockey goalie).	Open source
[142]	Cycling time-trial success is driven by sustained power, pacing, and efficient mechanics	Time trial determinants (general)	2017	Cycling physiology/skill knowledge (synthesis)	Supports lowering correlation: TT emphasizes solo sustained effort rather than reactive puck-reading, diving mechanics, or stick/hand timing.	Open source
[143]	Goalkeeper success depends on rapid reflex saves, positioning, and puck/shot recognition	Ice hockey goalkeeper determinants (general)	2016	Ice hockey sport knowledge (synthesis)	Reduces correlation further: goalie performance is dominated by sport-specific reactive positioning, tracking a fast puck, and diving/coverage technique.	Open source
[144]	Overlap-heuristic: cycling endurance → ice hockey goalkeeper (very limited technical overlap)	N/A (estimated via transferable-demand overlap heuristic rather than a single published effect-size)	N/A	N/A	Used shared general traits (repeated high-effort tolerance, general coordination, training discipline) while heavily down-weighting the lack of overlap in goalkeeper-specific technique: edge work/stop-start skating, puck/shot tracking with stick/hand timing, reading shooter intent, lateral positioning, and dive timing/angles.	Open source
[145]	Some transfer of explosiveness and repeated high-intensity effort	Authors n/a	2026	Internal domain knowledge	Cycling sprint track success indicates quick acceleration and tolerance for repeated hard efforts, which can support a goalkeeper’s short bursts of movement (slides, lateral push-offs, recovery steps).	—
[146]	Goalkeeper success is dominated by sport-specific shot-stopping technique	Authors n/a	2026	Internal domain knowledge	Ice hockey goalkeeping depends heavily on goalie-specific technical skills: positioning in the crease, tracking puck trajectories, glove/pad mechanics, and dive/return timing—skills not trained by velodrome sprint cycling.	—
[147]	Open-skill, reactive puck anticipation differs from relatively repeatable cycling motion	Authors n/a	2026	Internal domain knowledge	Goalkeeper play is highly open and opponent-dependent with unpredictable shot types and rebound behaviors; cycling sprint is comparatively closed/repeatable, reducing perceptual-action transfer.	—
[148]	Epee success reflects timing, distance/angle judgment, reactive footwork, and tactical reading	Fencing performance determinants (general)	N/A	General sports science / fencing coaching literature	Supports a modest positive transfer via perceptual timing, reading intent, and coordinated reactive movement.	Open source
[149]	Goalkeeper success depends on reflex saves, positional coverage, tracking, and ice-skating/crease mechanics	Ice hockey goalie determinants (general)	N/A	General sports science / ice hockey coaching literature	Explains why correlation can’t be high: dominant determinants are hockey-specific skating mechanics, tracking and glove/pad positioning, and crease systems.	Open source
[150]	Transfer is limited when primary tool/biomechanical demands differ	Skill transfer principles (general)	N/A	General motor learning / sport psychology research	Justifies only a small-to-modest technique correlation rather than near-zero or near-perfect.	Open source
[151]	Transfer of training (motor/perceptual skill transfer; conceptual)	Transfer of training / perceptual-motor skill transfer (conceptual)	n.d.	General sports science literature (no single source)	Used to justify a modest positive carryover: foil trains distance/timing judgments, reading an opponent, and precision under pressure.	Open source
[152]	Perception–action and anticipation in opponent sports (conceptual)	Perceptual anticipation and reaction overlap (conceptual)	n.d.	General perceptual-motor / sport psychology synthesis (no single source)	Supports increased correlation because both foil goalkeeping-like tasks and hockey goalkeeping rely on early cue reading, timed commitment, and fast reactive moves.	Open source
[153]	Task specificity and mechanics mismatch limit cross-sport prediction (conceptual)	Task specificity and mechanics mismatch (conceptual)	n.d.	General motor learning principles (no single source)	Keeps correlation from being high: hockey goalkeeper performance is dominated by ice skating/edgework, puck tracking in 3D, and sport-specific save/deflection technique under rules-contact/momentum not trained by foil.	Open source
[154]	Estimated carry-over from fencing sabre to ice hockey goalkeeper	Unnamed (model-based synthesis)	2026	Internal sports-science reasoning	Used to estimate a modest positive correlation based on overlap in fast reaction/anticipation, distance/angle judgment, and explosive, well-timed defensive movement. Discounted because goalkeeper performance depends heavily on hockey-specific crease positioning, glove/pad save mechanics, tracking pucks through different trajectories, and distribution/defensive reads—skills not trained in sabre fencing.	Open source
[155]	goalkeeper-to-goalkeeper transfer prior (internal)	Bayesian prior: within-theme transfer for goal/crease shot-stopping roles	2026	Internal reasoning	Set a moderate baseline because both are specialized shot-stopping goalkeeper roles emphasizing reflexes, coverage angles, and decision-making under pressure; this creates meaningful carry-over in perceptual/positional components even though the sports differ.	Open source
[156]	tracking/anticipation/angle overlap (upward adjustment)	Perceptual-process overlap adjustment: tracking + anticipation + angle management	2026	Internal reasoning	Increased because both roles require reading attacker cues early, tracking a fast projectile (ball/puck), anticipating shot direction, and maintaining coverage/position to reduce scoring chances.	Open source
[157]	save-mechanics and skating mismatch (downward adjustment)	Mechanics mismatch adjustment: stick/leg shot-stopping vs ice stick/pad save mechanics + skating	2026	Internal reasoning	Reduced because core save techniques differ substantially (field-hockey stick/leg mechanics and goal-area positioning vs ice-hockey crease-specific pad/block/recovery patterns) and ice hockey depends heavily on skating/edge work and puck handling/defensive responses unique to ice.	Open source
[158]	context-driven variance (higher std dev)	Role-context variability: differing pace, rebound behavior, and allowed defensive body angles	2026	Internal reasoning	Kept variance relatively high because puck/ball dynamics, rule constraints, and defensive movement patterns differ enough that some athletes transfer well in perception/positioning but others struggle when skating and rebound/shot types change.	Open source
[159]	Shared perception/decision overlap: hockey outfield reactive reads to ice hockey goalie reactions	Authors n/a	2026	Internal reasoning	Used a modest positive baseline because both require tracking a fast moving projectile, anticipation of attacks, quick reflexes, and maintaining composure under repeated high-pressure chances.	—
[160]	Specialization discount: goalie save technique and ice-specific positioning differs strongly	Authors n/a	2026	Internal reasoning	Reduced because ice-hockey goalkeeping is highly specialized: crease positioning/angle coverage, glove/pad mechanics, rebound control, and ice-specific movement/slotting—all distinct from field hockey outfield stick play.	—
[161]	Prior heuristic: golf precision/technique to hockey goalkeeper shot-stopping	Authors n/a	2026	Internal sports science heuristic	Start with a small positive correlation because golf provides transferable precision/hand-eye discipline and technique-learning under pressure.	—
[162]	Perceptual overlap: tracking + timing to impact	Authors n/a	2026	Internal sports science heuristic	Slightly increase because goalkeeping success depends on tracking incoming puck trajectories and timing saves/dives—conceptually similar to timing and contact accuracy in striking.	—
[163]	Motor-mechanics mismatch: club swing vs full-body goalie reactions	Authors n/a	2026	Internal sports science heuristic	Decrease because elite goalkeepers rely on highly specific motor patterns: stance and rebound control, lateral pushes, butterfly mechanics, catching/blocking, recovery and angles—mostly not trained in golf.	—
[164]	Interactive/reactive mismatch: fixed-target golf vs live puck variability	Authors n/a	2026	Internal sports science heuristic	Keep modest because hockey goalkeeping is far more opponent/puck-speed driven with unpredictable deflections and shot types; golf is largely self-paced to fixed targets.	—
[165]	Exclude size/reach trait effects	Authors n/a	2026	Internal sports science heuristic	Kept correlation low/moderate to avoid inflating for traits (reach/coverage) that can strongly affect goalie success; correlation reflects skill/technique only.	—
[166]	Transfer of balance recovery, body control, and complex coordination across sports	General motor coordination + balance recovery (motor learning literature)	various	Sports science / motor learning literature (general)	Supports a small baseline carryover: artistic gymnastics emphasizes balance recovery, low-position control, and controlled body positioning—useful for a hockey goalie’s frequent re-adjustments and recovery.	Open source
[167]	Perception–action and interceptive timing transfer across catching/shot-stopping tasks	Reflexive/reactive catching and interceptive timing (general)	various	Sports perception-action research (general)	Adds correlation because goalie success depends on fast tracking and timing of the body/arms to the incoming puck/projected shot.	Open source
[168]	Goalkeeper success is dominated by ice- and sport-specific technique and positioning	Ice hockey goalie specificity mismatch	various	Coaching/performance practice knowledge	Limits correlation: elite goalie performance depends strongly on ice-specific skating/edge work, glove/pad save techniques, rebound control, and reading puck/angles within hockey rules—skills not trained directly in artistic gymnastics.	Open source
[169]	Rhythmic gymnastics to ice-hockey goalie: prerequisites in balance, body control, and recovery	General balance/proprioception and reactive movement transfer (conceptual)	N/A	Internal reasoning	Rhythmic gymnastics strongly trains balance, proprioception, and whole-body control, which should help a goalie maintain angles, recover position quickly, and move efficiently after fakes/rebounds.	Open source
[170]	Crouch/stance control and quick re-positioning transfer	Low-position stability and rapid reorientation (general)	N/A	Internal reasoning	Apparatus work often includes stable, off-vertical stances and fast orientation changes; this can modestly support goalie movements (stops, lateral shifts, and re-centering).	Open source
[171]	Why goalie success is dominated by hockey-specific stimulus-response and skating mechanics	Ice-skating and goalie-specific perceptual-tactical specificity limitation	N/A	Internal reasoning	Goaltending outcomes depend heavily on ice-skating edge control (butterfly setup), puck/shot tracking under variable speed/spin, stick/gear-specific save mechanics, positioning rules, and opponent-dependent decisions—skills not directly trained by rhythmic routines.	Open source
[172]	Transfer depends strongly on prior skating and puck/ball sport exposure	Background variance (other ice/sports exposure)	N/A	Internal reasoning	Uncertainty is reduced vs outfield players because 'technique' prerequisites overlap somewhat, but it remains substantial: gymnasts with prior ice skating/hockey tend to transfer much more.	Open source
[173]	Trampoline improves balance and body positioning for dynamic saves	General proprioception/whole-body control transfer (Bayesian heuristic)	2026	Internal heuristic synthesis	Baseline modest positive correlation: trampoline strongly trains proprioception and ability to control body position during dynamic instability, helpful for goalkeeper dives/recoveries.	Open source
[174]	Landing/containment skills translate into quick repositioning after dives	Reactive coordination and landing recovery (Bayesian heuristic)	2026	Internal heuristic synthesis	Slightly increases correlation: goalkeepers must rapidly decelerate, set posture, and recover after contact with the ice.	Open source
[175]	Goalie movement relies on edge mechanics and lateral pushes	Ice-specific edgework and lateral acceleration mismatch (Bayesian heuristic)	2026	Internal heuristic synthesis	Caps carryover downward: trampoline doesn’t train ice-edge turns, pushes, and lateral acceleration patterns central to goalie positioning and movement.	Open source
[176]	Save execution depends on reading shot/trajectory and stick/brace technique	Puck/shot-specific perception-action gap (Bayesian heuristic)	2026	Internal heuristic synthesis	Reduced correlation: elite saves depend on puck tracking, glove/block timing, stick positioning, and shot-type-specific decisions—largely not trained by trampoline.	Open source
[177]	Handball backcourt → Ice hockey goalkeeper	Authors n/a	2026	Internal sports-science reasoning	Estimated small positive carry-over from shared perceptual/technical elements (fast ball/puck tracking, reaction under pressure, reading shot direction/intent, and concentration). Reduced because ice hockey goalie demands highly specific crouched/angle positioning, save mechanics, rebound control, glove/pad techniques, and ice-skating/crease movement patterns not trained by handball backcourt (which is perimeter throwing/shooting and defensive size).	—
[178]	Functional transfer: goalie reflex/positioning skills (handball GK → ice hockey GK)	Authors n/a	2026	Internal sports-science reasoning	Used overlap in learned skills for shot-stopping roles: reading attackers’ cues, rapid tracking, decision-making under pressure, and maintaining positional discipline/coverage to reduce high-probability shots.	—
[179]	Bayesian adjustment for large equipment/technique mismatch	Authors n/a	2026	Internal sports-science reasoning	Kept the correlation modest because core techniques differ: handball uses catching/deflecting with hands and diving angles with different ball trajectories; ice hockey relies on pad/stance positioning, glove/block mechanics, stick handling, and skating/edge-based coverage. This mismatch limits carry-over.	—
[180]	Heuristic Bayesian estimate based on perceptual/anticipation overlap and close-range reaction demands; reduced due to hockey-specific skating, puck/stick mechanics, and goalkeeper technique	OpenAI sports-science reasoning model	N/A	N/A	Used to justify a modest positive carryover from handball Pivot to ice hockey goalkeeper: both require rapid reading/anticipation of ball/puck trajectories, quick reactions in tight close-range scenarios, and composure while under pressure. Lowered because hockey goalie performance depends heavily on skating mechanics, puck/stick contact, and sport-specific save techniques/angle coverage.	Open source
[181]	Handball wing → ice hockey goalkeeper: transfer of shot-reading and reactive timing	Shared ball-shot anticipation and reflex timing	2026	Assistant synthesis	Used to justify a modest positive correlation because both roles require reading an oncoming shot quickly and reacting fast.	—
[182]	Wing role: transition finishing, angle-judgement, and decision-making at high tempo	Handball wing skill requirements	2026	Assistant synthesis	Identified potentially transferable components: understanding how attackers generate angles/pace and responding quickly under pressure.	—
[183]	Goalkeeper: crease positioning, save mechanics, and stick/leg/pad-specific reactions	Ice hockey goalkeeper skill requirements	2026	Assistant synthesis	Limited direct overlap because the core technique is hockey-specific (skating/stance, pad & blocker positioning, stick save/deflection habits, and crease coverage rules).	—
[184]	Shared hockey skill base drives cross-position correlation	Within-sport fundamentals (intra-sport transfer)	N/A	Sports skill transfer principles (synthesis)	Defensemen and goalkeepers/goalies share major hockey fundamentals: skating on ice, reading play, positioning, reaction readiness, and maintaining performance under speed/pressure.	Open source
[185]	Specialized roles weight different skills and training	Role specialization reduces correlation	N/A	Team sport role specialization (general)	Defense emphasizes gap control, stick/puck interactions, and transitions; goalie emphasizes save techniques, crease positioning patterns, and rebound control—so variance increases and correlation is not extremely high.	Open source
[186]	Save mechanics differ from outfield defensive actions	Technique mismatch for key actions	N/A	Motor learning specificity (general)	Goalkeeping-specific mechanics (stance, glove/pad usage, angles, reaction save triggers) don’t come directly from defenseman play, limiting the correlation.	Open source
[187]	Both roles require anticipating attacks and managing time-to-reaction	Perceptual and decision overlap	N/A	Perceptual-cognitive skills in invasion sports (general)	Both roles depend heavily on reading developing threats early and choosing correct positioning/commitment timing, supporting a strong positive baseline.	Open source
[188]	High correlation expected within same sport but different positions	Within-sport transfer prior (shared core hockey mechanics)	N/A	Sports science synthesis	Used a strong baseline because both roles are ice-hockey and share skating, puck tracking, and in-game decision-making; position specialization reduces ceiling.	Open source
[189]	Forward demands: puck handling, shot/deflection awareness, transition reads	Ice hockey forward demands	N/A	Training/sport knowledge base	Supports correlation through shared fundamentals: skating with puck, reading opponent/puck, and coordinated stick/hand-eye actions.	Open source
[190]	Goalkeeper/goalie demands: crease positioning, save technique, rebound control, glove/pad timing	Ice hockey goalkeeper demands	N/A	Training/sport knowledge base	Reduces correlation because elite goalie success depends heavily on specialized mechanics (angles, drops, pad/glove save technique, tracking from the crease) and different spatial tasks.	Open source
[191]	Heuristic estimate: judo to hockey goalie via balance recovery and reactive movement	Heuristic: reactive balance/whole-body reorientation transfer, publisherDataQualityNoteUnclear	Unknown	Sports science reasoning	Support a modest positive correlation: judo improves balance under force, body control when positions shift, and rapid reorientation needed for reactive saves.	—
[192]	Heuristic estimate: goalie performance depends on ice-skating and puck/cover mechanics	Heuristic: ice skating/puck/stick-save specificity limits transfer	Unknown	Sports science reasoning	Cap correlation because elite goalie success depends heavily on ice-specific skating/edge work, tracking a fast puck, using pads/stick/angles under hockey rules—techniques not trained in judo.	—
[193]	Reflex/anticipation and reaction timing overlap	Internal sports-science synthesis	2026	Model reasoning	Slightly increases correlation because lacrosse attackers often show strong ball-tracking, anticipation, and fast reactive movement in scramble situations, which are conceptually helpful for a hockey goalie’s shot-stopping reflexes.	—
[194]	Goalkeeper-specific technique mismatch (pads/drops/stance angles)	Internal sports-science synthesis	2026	Model reasoning	Reduces correlation because hockey goaltending depends heavily on highly specific stance, pad/leg positioning, rebound control, lateral slides, and save-selection/dive mechanics that lacrosse attacker play does not train directly.	—
[195]	Stick/ball vs puck/ice constraints	Internal sports-science synthesis	2026	Model reasoning	Further reduces correlation because lacrosse uses a netted stick and field-ball dynamics with different ball speeds/trajectories and surface interactions; ice introduces low friction, different puck behavior, and skating-based coverage requirements, creating noise in transfer.	—
[196]	Cross-sport transfer intuition (lax defender → ice hockey goalkeeper shot-stopping)	Authors n/a	2026	Sports science reasoning	Set a modest positive prior because both roles emphasize reaction to fast attacking plays, strong positioning/coverage habits, and maintaining composure in chaotic contact/traffic. Lowered from a higher value because hockey goalie success is dominated by hockey-specific mechanics (stance/splits, glove/blocker/leg save technique, rebound control, tracking off skates), while lacrosse defense uses stick-checking and different ball/puck trajectories with different save/deflect movements.	—
[197]	Strong functional overlap: specialist shot-stopping role	General sport-transfer reasoning (no single paper)	2026	Sports science knowledge synthesis	Both roles are last-line shot-stoppers with heavy reliance on reflexes, tracking the puck/ball, positioning, and reactive decision-making under time pressure.	Open source
[198]	Shared perceptual-cognitive skills: tracking fast projectiles and anticipating	General sport-transfer reasoning (no single paper)	2026	Sports science knowledge synthesis	A lacrosse goalie’s success reflects reading ball trajectory and anticipating shots; similar perceptual demands exist for ice hockey goalkeepers.	Open source
[199]	Technical mechanics mismatch: stick/catch saves vs goalie glove/pads and different movement rules	General sport-transfer reasoning (no single paper)	2026	Sports science knowledge synthesis	The specific save techniques differ substantially (lacrosse stick-based catching/blocking and body positioning vs hockey glove/pad/stance mechanics), limiting how perfect the correlation can be.	Open source
[200]	Surface/environment mismatch increases variance	General sport-transfer reasoning (no single paper)	2026	Sports science knowledge synthesis	Ice skating, crease angles, and rebound behavior differ from lacrosse, increasing individual spread around the mean.	Open source
[201]	Reactive tracking and short-latency decision transfer across stick/puck sports	Close-range reaction + ball/puck tracking transfer	N/A	Sports science synthesis (general)	Supports a modest positive correlation because lacrosse midfielders repeatedly track a fast ball and must react quickly to close-range threats/shots—skills that are conceptually similar to a goalkeeper’s reflex saves and positional adjustments.	Open source
[202]	Anticipation under congestion in invasion sports	Anticipation and reading intent in chaotic traffic	N/A	Sports science synthesis (general)	Adds correlation because lacrosse midfield success often involves reading opponents’ intentions in crowded spaces and committing to actions early—useful for anticipating puck/shot direction and timing at the crease.	Open source
[203]	Goalkeeping mechanics are highly sport-specific	Technique specificity limits (crease saves vs lacrosse stick defending)	N/A	General performance knowledge	Reduces the estimate because ice hockey goalie performance depends heavily on goalkeeper-specific techniques: stance, butterfly timing, pad/leg positioning, glove/ blocker mechanics, rebound control, and efficient save angles—only partially trained by lacrosse stick-defense actions.	Open source
[204]	Skating biomechanics and puck dynamics reduce transfer	Skating/edge work and equipment/ball dynamics mismatch	N/A	General performance knowledge	Further reduces correlation because the motor patterns for skating to cover angles and the puck’s speed/bounce/friction on ice differ substantially from lacrosse ball trajectories and defensive stick mechanics.	Open source
[205]	Padel-to-ice-hockey-goalkeeper transfer estimate (technique/learning overlap only)	Internal skill-transfer calibration (no external study supplied)	2026	Internal reasoning	Estimated small-to-modest positive correlation based on shared perceptual skills: tracking a fast moving object, quick reaction timing, and staying organized during frequent shot-like events. Reduced because goalie success in ice hockey is dominated by skating/edge mechanics, goalie-specific positioning in the crease, stick and glove mechanics for saves, reading shot release from different angles, and performing repeatable controlled lateral tracking and rebound control—skills padel does not directly train (racket-wall rebound system and no skating/crease-specific movement).	Open source
[206]	Shared reflexive ball/puck tracking and early reads	Authors n/a	2026	Internal reasoning prior	Pickleball emphasizes rapid tracking of a fast-moving ball/shuttle and reacting on short time scales. Ice hockey goalkeepers also rely on early visual reads and reflexive responses to shots.	—
[207]	Lateral positioning/recovery coordination overlap	Authors n/a	2026	Internal reasoning prior	Both require frequent lateral adjustments, staying balanced, and recovering quickly after each save attempt or movement change.	—
[208]	Goalkeeping technique mismatch (paddle returns vs blocking/catching/diving angles)	Authors n/a	2026	Internal reasoning prior	Handball/ice-hockey goalie success depends on sport-specific blocking/catching mechanics, glove/leg positioning, stick/gear placement, and diving technique/angles—none of which are trained by pickleball paddle striking.	—
[209]	Contextual noise: team defensive structure and shot types differ	Authors n/a	2026	Internal reasoning prior	Hockey goalie outcomes strongly depend on team defensive structure, opponent tendencies, and shot quality (and rebound/deflection patterns). Those sources of variance reduce how much prior pickleball skill predicts performance.	—
[210]	Different object physics and cue structure (paddle ball vs puck)	Authors n/a	2026	Internal reasoning prior	The shuttle/ball and puck differ in speed, spin behavior, and how trajectories are perceived. This reduces the predictive value of pickleball timing cues for hockey shot reading.	—
[211]	Transfer reasoning (row rowing lightweight → ice hockey goaltender): general coordination/endurance vs limited overlap in skating reflex/save mechanics	Internal synthesis: lightweight rowing → ice hockey goalie	2026	Internal synthesis	Used overlap in general whole-body coordination, balance/posture control, and ability to maintain technical consistency under fatigue. Down-weighted because goaltender success depends heavily on ice-specific skating/edge work, stance positioning, rapid lateral reaction timing, glove/pad save technique, tracking puck trajectories at close range, and repeated explosive starts/stops—skills not trained by rowing’s cyclic stroke mechanics.	—
[212]	Ice-hockey goalkeeper save skills are highly event-specific	Non-specified (technique specificity: skating + goalie saves)	n/a	Sports science consensus	Caps transfer because rowing doesn’t train low-position reflex save mechanics, stick/blocking technique, crease positioning, or goalkeeper-specific reaction timing.	Open source
[213]	Rowing improves balance and whole-body coordination	Non-specified (general coordination/balance)	n/a	Sports science consensus	Adds a small positive component since goalkeeping requires body control and the ability to move efficiently in guarded, low-stability positions.	Open source
[214]	Repeated hard training tolerance transfers modestly	Non-specified (conditioning/work-rate tolerance)	n/a	Sports science consensus	Slightly increases correlation because goalkeepers still face repeated high-intensity actions across practices/games, and rowers are used to demanding training blocks.	Open source
[215]	Shared reactive/anticipatory component (read play, react quickly)	Authors n/a	n/a	Sports science transfer synthesis (no single canonical citation)	Halfback/midfield rugby success includes fast scanning, anticipation, and reacting to live, changing situations—somewhat analogous to the goalie’s need for rapid perception and reflex preparation.	—
[216]	Major technique mismatch: passing/kicking/distribution vs stick/pad positioning and save mechanics	Authors n/a	n/a	Coaching-position-demand synthesis (no single canonical citation)	Ice hockey goaltending is highly specific: crease positioning, angles, stick/pad saves, and rebound control on ice. Rugby’s distribution/kicking skills don’t train these save techniques directly.	—
[217]	Movement constraint mismatch: running/collisions vs ice skating balance at high speed	Authors n/a	n/a	Motor learning/constraint mismatch synthesis (no single canonical citation)	Rugby involves running/cutting and contact balance, while a goalie’s core is skating/gliding edge control and rapid lateral positioning within the crease—different balance constraints.	—
[218]	Conversion variance from non-goalkeeper backgrounds to specialized crease technique	Authors n/a	n/a	Bayesian conversion variance prior (no single canonical citation)	Goalie success depends on rapid mastery of ice-specific mechanics and save positioning; conversion speed varies substantially, widening the spread.	—
[219]	Negative transfer unlikely given technique-only framing	Authors n/a	n/a	Model constraint (technique-only, body-type effects excluded)	Rugby is not expected to systematically hinder hockey goalie technique; at worst it adds limited upside, so strongly negative correlation is unlikely.	—
[220]	Rugby loose forward → Ice hockey goalkeeper overlap assessment	N/A (model-based estimation)	2026	Internal sports science reasoning (no single external source used)	Estimated carry-over by crediting shared transferable elements: high defensive involvement, anticipating play, reacting under pressure, comfort performing intensely for periods, and contact-tolerant body control. Discounted main non-transferable technical factors for hockey goalkeeping: skating edge work/ability to push-recover on ice, stick handling/timing to puck, specific crease positioning rules, tracking puck trajectories on ice, and goalkeeper-specific save mechanics (lateral drops, angle blocking, rebound control).	Open source
[221]	Reflexes and reactive shot-blocking analogues	—	N/A	Sports science synthesis	Outside backs repeatedly react to sudden threats/ball changes in open play, which can translate weakly to goalkeeper reflexes and rapid responses.	Open source
[222]	Dynamic balance and recovery after evasion/contact	—	N/A	Sports science synthesis	Evasion/broken-play running can support whole-body balance and recovery needed for making and recovering from saves.	Open source
[223]	Ball/playing-area tracking under speed	—	N/A	Sports science synthesis	Rugby requires tracking a live ball and adjusting positioning, offering some transferable perceptual skills to tracking a puck toward the crease.	Open source
[224]	Major technique mismatch: skating mechanics and puck tracking with stick/body position	—	N/A	Sports science synthesis	Ice-hockey goalkeeping is heavily determined by skating technique (including explosive edgework and lateral movement), plus stick/pad save mechanics—skills rugby outside-back roles don’t train directly.	Open source
[225]	Role constraints mismatch (protected crease vs open-field running/evading)	—	N/A	Sports science synthesis	Goalkeeper success depends on crease positioning, angle play, and low/compound save setups; rugby outside-back tasks are mostly upright open-field evasion and coverage rather than crease-specific patterns.	Open source
[226]	Skill-transfer plausibility framework (contact/chaos tolerance → low-position reflex/positional control)	N/A (synthesis)	2026	Internal reasoning	Estimated carry-over from rugby union tight-five success (contact resilience, staying stable under physical stress, role discipline, general hand-eye from contesting balls) to ice hockey goalkeeper success (low-position reflex saves, positional coverage, quick reactions) while discounting body-proportion traits like reach.	Open source
[227]	Dynamic balance and force-absorption transfer	Reasoned synthesis (no single dataset assumed)	2026	Sports science reasoning	Downhill/super-G skiing emphasizes high-speed stability, absorbing forces, and re-centering—useful for a goalkeeper’s stance control, lateral recoveries, and handling impacts.	Open source
[228]	Core technique mismatch: glove/leg save mechanics vs edge/line control	Reasoned synthesis (no single dataset assumed)	2026	Skill transfer reasoning	Goalkeeper success is driven by sport-specific save technique (glove/leg positioning, blocking/catching mechanics, rebound control) which is not directly trained by alpine edge control and sliding turns.	Open source
[229]	Reactive shot-by-shot timing mismatch	Reasoned synthesis (no single dataset assumed)	2026	Cognitive/temporal skill reasoning	Skiing is mostly continuous control on a fixed course; hockey goalkeeping is discrete, opponent-driven and shot-by-shot with rapid anticipation, which reduces transferable timing/decision structure.	Open source
[230]	Transfer of dynamic balance and rapid re-positioning to defensive/shot-stopping roles	Dynamic balance & rapid re-centering transfer	N/A	General sports science principles	Used to justify a small positive correlation: technical alpine skiing develops whole-body balance and quick recovery, which can help goalkeeper stance control and lateral repositioning.	Open source
[231]	Goalkeeper performance is driven by sport-specific perceptual and save technique	Ice hockey goalkeeper specificity (puck/angle tracking + stick/body positioning)	N/A	Ice hockey coaching/skill acquisition principles	Caps the correlation because hockey goalie success depends on tracking the puck, timing/angles of saves, stick/leg pad positioning, and save selection under hockey rules—skills not trained by skiing.	Open source
[232]	Terrain-controlled cues differ from opponent/puck-driven perception loops	Perception-action mismatch (terrain vs moving puck/attacker)	N/A	Motor learning/perception principles	Reduces overestimation: skiing cues are self-driven terrain/edge forces, while hockey goalie decisions depend on continuous opponent and puck motion.	Open source
[233]	Modeled very low transfer (endurance/coordination → shot-stopping goalie mechanics)	General conditioning/balance transfer estimate (ski XC → ice hockey goalie)	2026	Sports science reasoning	Set a very small positive correlation: skiing XC can support aerobic stamina, balance, and general coordination for goalkeeper match work, but ice hockey goaltending is dominated by ice-specific skating mechanics, puck tracking, and highly reflexive, positioning-dependent save technique not trained by XC skiing.	Open source
[234]	Stance stability for saves	Dynamic balance & proprioception carryover (no single dataset)	2026	Internal heuristic	Snowboarding improves dynamic balance and lower-body proprioception, which can modestly help a goalkeeper hold position, recover stance after movement, and stay coordinated while tracking shots.	Open source
[235]	Trajectory reading and fast response	Visual tracking/reaction partial overlap (no single dataset)	2026	Internal heuristic	Both sports require rapidly adapting to moving trajectories and reacting; this can slightly support early development of goalie reaction timing.	Open source
[236]	Shot-stopping technique mismatch	Puck-and-stick modality mismatch (no single dataset)	2026	Internal heuristic	Ice hockey goalie success depends heavily on hockey-specific blocking/catching mechanics, angle control, and stick/stance positioning relative to the puck—skills not trained directly by snowboarding.	Open source
[237]	Butterfly/slide mechanics vs board falls/landings	Skating & dive mechanics mismatch (no single dataset)	2026	Internal heuristic	Goalkeeper saves rely on repeatable skating-driven slides, butterfly timing, and recovery steps on ice; snowboarding’s falls/edge landings are only weakly analogous.	Open source
[238]	Anticipation, reading trajectories, and composure transfer more strongly between reactive defensive positions	Perceptual-cognitive skill transfer in reactive defensive roles (general)	2010-2020	Applied sport science/perceptual-cognition literature (general)	Central defenders and hockey goalkeepers both succeed by reading danger early, tracking fast objects (ball/puck), and making rapid defensive decisions in chaotic situations.	Open source
[239]	Reaction timing and visuomotor tracking carry over modestly when the task is defending against fast-moving projectiles	Visuomotor/reaction timing overlap (general)	2010-2020	Motor learning/visuomotor literature (general)	Both roles involve tracking a fast projectile and initiating the correct response quickly, supporting positive correlation.	Open source
[240]	Core technique differences cap transfer even when perceptual demands overlap	Technique architecture mismatch across sports (general)	2010-2020	Sports transfer-of-training research (general)	Soccer defending is driven by tackling/aerial positioning and foot/heading actions; hockey goalkeeping is driven by skate-and-stick positioning, glove/pad mechanics, and shot-read timing—technique mismatch limits effect size.	Open source
[241]	Goalkeeper success is strongly shaped by goalkeeper-specific mechanics and patterns, increasing variance	Goalkeeper-specific specialization effects (general)	2010-2020	Coaching/position-performance literature (general)	Even if game sense transfers, crease-specific mechanics (recovery edges, poke/handle coverage, rebound angles) create uncertainty and keep correlation from being high.	Open source
[242]	Techniques/cognitive overlap estimate: soccer central midfielder → ice hockey goalkeeper	General sports-transfer reasoning (anticipation/reflex decision-making overlap framework)	2026	Internal synthesis	Estimated carry-over from central midfielder via transferable elements: anticipation/reading attacks, scanning/positioning awareness, staying mentally engaged in intermittent high-stakes moments, and fast decision-making under pressure. Discounted sport-specific differences: hockey-goalie save mechanics (pad/glove angles, tracking release point vs rebound, lateral/vertical positioning rules), skating on edges for crease coverage, and the specific cue-to-movement timing unique to goaltending. Excludes body-proportion/size effects.	Open source
[243]	Transfer prior: high when future and past subcategories are both specialist goalkeepers/shot-stoppers	Role match prior (goal/crease shot-stopping)	2026	Internal reasoning prior	Sets a high baseline (typically ~0.5–0.7) when roles match: last-line shot-stopping, reading attackers, and reacting defensively.	Open source
[244]	Soccer GK → hockey GK: anticipation, shot reading, reflexive positioning, and composure	Soccer goalkeeper transferable components	2026	Internal reasoning prior	Supports high correlation via shared perceptual/decision demands: tracking the shooter/puck, reacting quickly, controlling the crease/area, and maintaining calm under heavy pressure.	Open source
[245]	Hockey GK: skating/crease mechanics, blocker/pad mechanics, puck dynamics and rule-specific save types	Ice hockey goalkeeper constraints	2026	Internal reasoning prior	Reduces correlation because elite hockey goalie performance is heavily constrained by sport-specific technique: skating/edgework in the crease, blocker/paddle-and-pad save mechanics, glove/poke-check timing, handling rebounds, and rule-driven coverage patterns not trained in soccer goalkeeping.	Open source
[246]	Pressure reaction/positioning overlap with large reduction for puck/stick-specific save mechanics	Internal Bayesian skill/transfer estimate (soccer striker → ice hockey goalkeeper)	2026	Model reasoning	Estimated low positive correlation: shared abilities include reacting under pressure, reading danger quickly, and strong competitive mentality. Reduced substantially because goalkeeper success in ice hockey depends on hockey-specific technical bottlenecks: skating/stance patterns in the crease, rebound control, angle management, glove/blocker save mechanics, and handling puck/shots with a stick-free reflex framework that striker finishing does not train directly.	—
[247]	Open-skill reaction and anticipation transfer	—	2026	General sports science reasoning	Goalkeeper success and winger success both depend partly on reading play and reacting quickly to changing ball/puck threats.	Open source
[248]	Hand–eye tracking and quick body positioning	—	2026	General sports science reasoning	Supports a small positive link because both involve tracking a fast-moving object and aligning the body quickly to act.	Open source
[249]	Technique specificity: skating/crease mechanics and puck-save methods	—	2026	General sports science reasoning	Caps correlation because ice hockey goaltending is dominated by highly specific skating/stance, angle coverage, glove/blocker positioning, and save timing that soccer wingers do not train.	Open source
[250]	Role mismatch (attacking winger vs specialized defensive goalkeeper)	—	2026	General sports science reasoning	Reduces expected carry-over: winger fundamentals (creating chances with feet) map only weakly to goalie responsibilities (preventing shots, managing the crease, responding to rebounds/angles).	Open source
[251]	Estimated carry-over from softball catcher to ice hockey goalkeeper	Heuristic sports-transfer model (reactive shot-stopping + low-ready receiving skills; technique mismatch)	2026	Internal synthesis	Catchers and goalkeepers both succeed via early tracking/anticipation, staying in an effective low/ready posture, and making fast first responses to incoming projectiles. Correlation is capped as moderate because hockey goaltending is dominated by ice-skating mechanics, stick/body save positioning, angle/crease coverage, and shot dynamics that differ from pitch reception/blocking.	—
[252]	Baseline prior: softball field-player → ice hockey goalkeeper (skills-only)	Unknown (modeled estimate)	2026	Internal sports-science prior	Start low-positive: both involve tracking a fast object and reacting quickly, but hockey goalie technique and crease positioning are specialized.	—
[253]	Positive contributors: visual tracking, reflex timing, lateral readiness	Unknown (modeled estimate)	2026	Internal sports-science prior	Softball field players practice reading ball trajectories and making rapid reactions with coordinated lower-body movement, which can support early goalie reflex and positioning fundamentals.	—
[254]	Mismatch factor: crease mechanics, pad/stick save technique, and skating context	Unknown (modeled estimate)	2026	Internal sports-science prior	Goalkeeper success depends heavily on hockey-specific mechanics: save angles, glove/pad/stick positioning, rebound control, tracking at varying shot heights, and skating/butterfly mechanics on ice—all not trained by softball fielding.	—
[255]	Softball Pitcher → Ice Hockey Goaltender transferable-skill correlation estimate	Internal domain reasoning	2026	Sports science assistant synthesis	Estimated based on minor overlap in arm-hand coordination, throwing-like release timing, and psychological coping with high-pressure repeated attempts, offset by major differences in core technical demands (ice skating/stance, rebound positioning, glove/block reflexes, and goalie-specific puck tracking) and the pitcher’s underhand mechanics.	—
[256]	Cross-sport transfer heuristic (squash → ice hockey goalie)	Internal domain reasoning	N/A	N/A	Estimated carry-over based on shared perceptual-motor skills: tracking a fast-moving projectile, rapid reaction/anticipation, and making explosive, balanced movements in a confined space. Down-weighted because ice hockey goaltending is dominated by hockey-specific technique (skate/rebound positioning, glove/block angles, stick/deflection mechanics, save types vs different shot trajectories, and crease/angle rules) not trained in squash.	Open source
[257]	Surfing → ice hockey (goalkeeper) skill/transfer model	Internal synthesis: surfing to ice hockey goalkeeper transfer estimate (technique-only)	2026	Internal synthesis	Estimated low positive carryover from surfing’s dynamic balance, re-centering after loss of equilibrium, and composure under unstable motion; subtract because goalkeeper success depends mainly on ice-specific skating/crease positioning, stick-to-puck tracking, save technique, and shot-reading not trained by surfing.	Open source
[258]	General athletic/coordination adaptation (technique under fatigue)	Authors n/a	2026	Internal model	Small positive baseline because middle-distance backstroke indicates good body coordination, rhythm, and shoulder/upper-body endurance—useful for handling training load and maintaining technique when adapting to hockey.	—
[259]	Direct technical mismatch (water mechanics/turns vs goalie skating, glove/blocking, diving)	Authors n/a	2026	Internal model	Reduced correlation because swimming backstroke does not train key goalie-specific skills: tracking puck/shot windows, glove/hand positioning, stick-save mechanics, and on-ice dive/cover mechanics and recovery.	—
[260]	Perceptual/response demands mismatch (self-paced vs reactive against shooters)	Authors n/a	2026	Internal model	Adjusted downward slightly because goalie success depends heavily on rapid anticipation and real-time reaction to puck release/angles in chaotic play, whereas swimming success is largely self-paced with different timing cues.	—
[261]	Shared quick-burst athletic demands	Authors n/a	2026	Internal reasoning	Sprint backstroke success and ice hockey goalie play both include explosive bursts, rapid repositioning, and executing technique at high tempo.	—
[262]	Goalkeeping-specific perceptual-motor skills missing	Authors n/a	2026	Internal reasoning	Hockey goalie success depends heavily on reading the shooter, tracking puck/shot trajectories, catching/deflecting, rebound control, and timing—skills not trained by backstroke swimming.	—
[263]	Movement mechanics mismatch (aquatic turns vs skating edges/drops)	Authors n/a	2026	Internal reasoning	Backstroke sprint/turn mechanics and underwater phases don’t transfer well to skating edge work, stance, lateral slides, and dive/coverage mechanics.	—
[264]	Bayesian calibration for very different interactive sports	Authors n/a	2026	Internal reasoning	Kept in a low range expected for technique-based transfer between quite different sports when overlap is mostly general athletic qualities.	—
[265]	Transfer of learning	General transfer of learning (coordination + fatigue-consistency)	2026	Internal synthesis	Provides a small baseline because swimming success suggests good body control, timing, and maintaining technique under fatigue—useful for learning goalkeeper movement habits.	Open source
[266]	Motor learning and specificity	Motor learning & specificity (movement-pattern mismatch)	2026	Internal synthesis	Down-weights correlation: breaststroke’s propulsion/timing mechanics do not map well to ice-hockey goalkeeping (crease positioning, stick/body positioning, tracking the puck after rebounds, dive/flare mechanics).	Open source
[267]	Perceptual learning/anticipation (general)	Perceptual-cognitive mismatch (reactive puck tracking)	2026	Internal synthesis	Goalkeeper performance relies heavily on reading attackers and tracking the puck in 3D at high speed with very short reaction times; swimming relies more on pace/lane cues than adversarial cueing.	Open source
[268]	Sports conditioning principles (general)	Conditioning/energy-structure mismatch (burst + contact)	2026	Internal synthesis	Reduces predictive value: hockey goalie work is dominated by repeated short explosive movements and dives between brief recovery periods, unlike the sustained efficiency focus in middle-distance breaststroke.	Open source
[269]	Correlations are small when the two sports have different core skill systems; only general coordination/training habits transfer	General sports science on cross-sport skill transfer	n/a	Sports science generalization	Used to keep baseline low because sprint breaststroke’s core technique is water-specific while hockey goalie depends on close-range shot-reaction mechanics.	Open source
[270]	Sprint breaststroke success depends on coordinated timing (simultaneous arm-leg action) and explosive acceleration	Swimming sprint breaststroke determinants (general)	n/a	Swimming biomechanics/coaching (general)	Supports a slight positive carry-over from whole-body coordination, ability to generate force quickly, and technical discipline.	Open source
[271]	Goalkeeper success is driven by rapid visual tracking, reflexive saves, positioning angles, and blocking technique	Ice hockey goaltending determinants (general)	n/a	Hockey coaching/skills (general)	Limits correlation because those determinants are highly goalie-specific and not trained by breaststroke sprinting.	Open source
[272]	Transfer is usually limited when learned mechanics differ strongly	Motor learning / transfer-of-learning reviews (general)	various	Motor learning & sport science literature	Butterfly’s water undulation/propulsion mechanics overlap only weakly with the learned save mechanics (lateral positioning, blocking/rebound timing) of an ice hockey goalie.	Open source
[273]	Goalkeeping performance is highly dependent on sport-specific perception-action coupling	Perception–action/interception timing literature (general)	various	Perception-cognition / sports biomechanics literature	A hockey goalie’s key determinants are reading puck/shot and executing crease-specific saves; swimming does not train these exact perceptual-motor couplings.	Open source
[274]	General coordination and practice discipline transfer somewhat across sports	Sports training transfer themes (review-level)	various	Sports training / exercise science literature	A strong swimmer often has good overall body control, coordination, and ability to keep technique quality under physical stress—providing a tiny learning advantage.	Open source
[275]	Technique maintenance under fatigue generalizes modestly	Skill execution under fatigue/stress (general themes)	various	Sports physiology & motor control literature	Butterfly middle-distance requires maintaining coordination as fatigue rises; goalies also must remain technically sharp across repeated high-intensity moments, supporting a very small positive association.	Open source
[276]	Model reasoning: butterfly sprint success (coordination, upper-body power, maintain mechanics under brief intense fatigue) to ice hockey goalkeeper (reflex saves, positioning, lateral coverage, glove/pad timing)	N/A (estimation)	2026	Model reasoning	Estimated near-zero-to-small correlation based on some general transfer in coordination and ability to stay technically consistent when fatigued; discounted large mismatches in goalkeeper-specific reflex/reaction mechanics, skating edgework, and stick/hand save technique.	—
[277]	Why swimming distance skill can weakly support reflex/positioning in goalkeeping	General reactive coordination and dynamic balance transfer	N/A	Sports science heuristics (domain knowledge)	Distance freestyle success implies good whole-body coordination and the ability to keep technique while fatigued, which can weakly help a goalkeeper’s lateral repositioning and maintaining control under repeated high-effort bouts.	Open source
[278]	Why swimming technique doesn’t map well to goalkeeper save mechanics	Goalkeeper perceptual-motor specificity mismatch	N/A	Sports science heuristics (domain knowledge)	Ice hockey goalkeeping depends on sport-specific skating (edge work, pivots), stick/glove save mechanics, tracking at close range, and angle/positioning timing on ice—skills not trained by front crawl propulsion, keeping predictive power low.	Open source
[279]	Trainability/learning discipline can create a small positive correlation	Small contribution from practice discipline	N/A	Sports science heuristics (domain knowledge)	High performers in swimming often practice systematically and handle hard sessions; that slightly increases the rate of learning goalkeeper fundamentals, but does not dominate the skill gap.	Open source
[280]	General athletic transfer (coordination, balance, training discipline)	Authors n/a	2026	Internal reasoning	Used a small positive baseline because middle-distance freestyle success indicates good coordination, body control, and consistent technique learning.	—
[281]	Very low technical overlap: swimming propulsion vs shot-stopping mechanics	Authors n/a	2026	Internal reasoning	Kept the correlation low because a goalkeeper’s core skills are skating coverage, positioning, dive mechanics, stick/hand tracking, and puck-reading—none are trained by front-crawl propulsion.	—
[282]	Limited perceptual-reactive overlap (tracking fast stimuli)	Authors n/a	2026	Internal reasoning	Added only a tiny amount since both involve reacting to fast-moving stimuli, but the stimulus-response mapping differs greatly.	—
[283]	Perceptual-cognitive skill and transfer in interactive sports (anticipation/reaction)	Abernethy, et al.	1990-2010	Sport vision & perception literature	Used to justify a very small positive carry-over via general reaction/anticipation skills relevant to goalie reflexes.	—
[284]	Visual tracking and timing demands in ball/interactive sports (representative)	Farrow, et al.	2000-2022	Sport skill acquisition / vision-motor research	Used to cap transfer: goaltending requires sport-specific puck tracking and timing cues not present in swimming.	—
[285]	Reactive movement and transfer limits across sports (change of direction/stance-dependent mechanics)	Sheppard, et al.	2005-2019	Biomechanics & conditioning research	Used to keep correlation low because goalie movement mechanics (lateral pushes, butterfly timing/angles, recovery) are skating-specific.	—
[286]	Ice hockey goaltending determinants: positioning, angles, and save technique	Tjong / hockey performance determinants (representative)	2000-2020	Ice hockey performance literature (representative)	Used to emphasize that key success factors for goalies are positioning/crease control and save technique, which swimming does not teach.	—
[287]	Cross-sport transfer variability and motor learning constraints	Baker, et al.	2010-2020	Sports talent development / motor learning research	Used to justify remaining uncertainty (std dev) with a low mean: some athletes may transfer reactive control well, others not.	—
[288]	Close-range reaction and tracking overlap	N/A (modeled estimate)	2026	Internal sports-science heuristic	Both table tennis and hockey goalkeeping rely on early visual read of a fast-moving projectile and rapid, explosive response in confined space.	Open source
[289]	Precision hand-eye timing helps saves/deflections	N/A (modeled estimate)	2026	Internal sports-science heuristic	Table tennis strongly trains fine timing and coordinated limb placement, which can transfer to stick-block/deflect decisions and glove/hand positioning for saves.	Open source
[290]	Technique mismatch: racket/spin vs stick/body save mechanics	N/A (modeled estimate)	2026	Internal sports-science heuristic	Core mechanics differ: racket contact/spin control vs puck/stick save angles, rebound management, and specific dive/stand-up mechanics.	Open source
[291]	Environment/role structure differences (stance + angles + rebounds)	N/A (modeled estimate)	2026	Internal sports-science heuristic	Goalkeeper success depends heavily on crease positioning, angle discipline, rebound control, and communication with defense—skills with limited direct mapping from table tennis.	Open source
[292]	Combat-to-ice-hockey-goalkeeper prior	Bayesian prior: striking combat → ice hockey goalkeeper baseline	2026	Internal reasoning	Low-to-modest baseline since taekwondo technique (kicks/stance timing) only partially maps to goalie-specific skills (skating, glove/blocking technique, rebound control).	Open source
[293]	Reflex/reaction overlap	Taekwondo reaction timing (generalized), Goalkeeper shot-stop reflexes and reaction (generalized)	2026	Internal reasoning	Slightly increases correlation because both require fast reads and immediate explosive defensive movement.	Open source
[294]	Balance + lateral burst overlap	Taekwondo balance and explosive lateral movements (generalized), Goalie lateral slides/sprawls and angle coverage (generalized)	2026	Internal reasoning	Adds a little because both reward controlled, coordinated repositioning under pressure.	Open source
[295]	Major technique mismatch (gear/shot mechanics)	Taekwondo does not train glove/gear-based save technique or puck-tracking mechanics (generalized), Goalie performance depends heavily on stick/glove positioning, rebound control, and save selection within goalie rules (generalized)	2026	Internal reasoning	Reduces correlation: key determinants are hockey-specific (skating efficiency, stick/glove positioning, rebound handling), not taekwondo-trained.	Open source
[296]	Composure under chaos	Sparring under uncertainty and composure (generalized), Goalkeeper composure under chaotic shot sequences (generalized)	2026	Internal reasoning	Keeps correlation slightly positive since combat athletes often adapt mentally to unpredictable high-pressure events.	Open source
[297]	Perceptual-motor transfer across interactive sports (reaction + trajectory tracking)	Reactive tracking and timing transfer	N/A	Sports perceptual-cognition / motor learning synthesis (high level)	Used to set a modest positive correlation because both tennis and ice hockey goalkeeping require tracking a fast-moving puck/ball, reacting quickly, and moving explosively to a target.	Open source
[298]	Task specificity limits cross-sport technique prediction	Task-specific equipment/contact mechanics	N/A	Motor learning specificity principles (high level)	Limited because tennis involves racket-based striking and court movement, while hockey goalie success depends on stick/leg save mechanics, angles, rebound control, and rule-driven positioning in the crease.	Open source
[299]	Different locomotion constraints reduce transfer	Movement constraint differences (court vs ice + dives)	N/A	Sports biomechanics / skills transfer (high level)	Kept correlation modest: tennis footwork is on a court, whereas goalie performance requires edge control on ice and specific lateral pushes/drops/dive patterns.	Open source
[300]	Skill/transfer model (triathlon endurance/pacing + general coordination vs hockey goalie reflex/positional/reactive saves)	N/A (model-based synthesis)	2026	Internal reasoning	Used a low correlation because triathlon’s main transferable components are endurance, training discipline, and recovery, while goalie success depends on sport-specific reflex tracking, positioning within the crease, and rapid puck/shot-stopping mechanics. Carry-over is mostly indirect via fitness and practice consistency, with moderate variance for those who have prior hockey/hand-eye or reaction-training.	Open source
[301]	Transfer mapping: volleyball attacker → ice hockey goalkeeper	Internal expert-judgment mapping: volleyball attacker → ice hockey goalkeeper (technique/learning only)	2026	Internal synthesis	Granted only small overlap in technique-neutral skills: fast reaction to moving objects, body coordination, and confidence performing under pressure. Penalized strongly for goalkeeper-specific technique mismatch: save-ready stance, tracking puck angles at close range, using skates/body positioning to block the net, and stick/hand save mechanics specific to hockey. Also skating system differences (especially edgework and lateral/retreat patterns) reduce transferable technique overlap.	Open source
[302]	Priors: net striking sport → specialized crease goalkeeping	Bayesian prior for low transfer to highly specialized goalkeeping roles	2026	Internal Bayesian prior	Used a low baseline (≈0.00–0.10) because core motor programs differ (jumping/strike vs skating/crease positioning). Centered the mean near ~0.06 to allow a slight positive effect from general reaction/coordination.	Open source
[303]	Volleyball libero (reaction/positioning) to ice hockey goalkeeper (reflexes/positioning) carry-over estimate	(model-based cross-sport skill mapping)	2026	internal model	Used to estimate low-to-modest positive correlation: shared defensive/reflexive positioning and reading incoming shots/puck trajectories, plus balance and quick reaction. Down-weighted because hockey goalkeeping relies on stick/pad-save techniques, specific crease positioning rules, and ice-skating mechanics not trained by libero digging/reception.	—
[304]	Volleyball middle blocker → ice hockey goalkeeper (general reactive transfer)	Internal reactive/positioning transfer heuristic (read & react + rapid footwork)	2026	Internal model assumptions	Used a low baseline correlation from transferable skills: tracking a fast ball, anticipating trajectory, rapid repositioning, and maintaining concentration through repeated high-speed events; down-weighted because net blocking/jumping differs from goalie save mechanics.	Open source
[305]	Goaltending mechanics mismatch adjustment	Bayesian task-structure mismatch scaling (net-front timing vs stickless save angles + diving)	2026	Internal model assumptions	Reduced correlation further because goalie success depends heavily on ice skating edge control, stickless body positioning for saves, specific dive/framing mechanics, rebound/deflection reads, and dealing with shot release cues unique to hockey.	Open source
[306]	Reflexive reaction/positioning overlap in interceptive sports (overview)	N/A	N/A	Sports science / coaching consensus (no single study specified)	Supports a small positive correlation because both roles involve reacting quickly to a fast-moving object and getting into the correct position.	Open source
[307]	Goalkeeper technical mismatch: shot-stopping mechanics and skating/crease movement (overview)	N/A	N/A	Sports science / coaching consensus (no single study specified)	Caps the correlation because ice hockey goalkeeping depends heavily on puck-and-ice-specific mechanics (stance, glove/pad saves, dive angles, rebound control) and skating/crease positioning under hockey rules that volleyball setting does not train.	Open source
[308]	Sport-context mismatch: reactive defense vs offensive setup role (overview)	N/A	N/A	Sports science / coaching consensus (no single study specified)	Adds uncertainty/low predictiveness because setter success is offense orchestration (second contact) whereas goalkeeper is primarily interceptive shot-stopping with different decision loops.	Open source
[309]	General sport skill transfer principles	Sports skill transfer/general research synthesis (shared opponent-interaction + balance under pressure)	N/A	General sports science knowledge	Used to estimate a modest baseline: wrestling can carry over to hockey goalkeeping via general balance, contact/chaos tolerance, and composure under pressure.	Open source
[310]	Wrestling performance contributors	Wrestling coaching knowledge (scramble control + posture)	N/A	Coaching & applied sports science knowledge	Identified transferable elements: staying coordinated while pressured, explosive balance recovery, and maintaining positional control in close-quarters grappling scrambles.	Open source
[311]	Goalkeeper performance contributors in ice hockey (applied coaching knowledge)	Ice hockey goalkeeper coaching knowledge (reflexes + positioning + tracking)	N/A	Coaching & applied sports science knowledge	Identified dominant determinants: skating/edge work, tracking and reaction to puck, stick/blocking technique, rebound control, and reading shot/pass cues—largely not trained in wrestling.	Open source