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Tackle Height and Tackle Success-An Analysis of 52,204 Tackle Events.

aut.relation.articlenumbere70003
aut.relation.issue8
aut.relation.journalEur J Sport Sci
aut.relation.startpagee70003
aut.relation.volume25
dc.contributor.authorHendricks, S
dc.contributor.authorTill, K
dc.contributor.authorScantlebury, S
dc.contributor.authorDalton-Barron, N
dc.contributor.authorden Hollander, S
dc.contributor.authorGill, N
dc.contributor.authorKemp, S
dc.contributor.authorKilding, A
dc.contributor.authorLambert, M
dc.contributor.authorMackreth, P
dc.contributor.authorO'Reilly, J
dc.contributor.authorOwen, C
dc.contributor.authorSpencer, K
dc.contributor.authorStokes, K
dc.contributor.authorTee, J
dc.contributor.authorTucker, R
dc.contributor.authorVaz, L
dc.contributor.authorWeaving, D
dc.contributor.authorWest, SW
dc.contributor.authorDane, K
dc.contributor.authorMcKnight, F
dc.contributor.authorJones, B
dc.date.accessioned2025-07-23T23:52:15Z
dc.date.available2025-07-23T23:52:15Z
dc.date.issued2025-07-12
dc.description.abstractTo compare the probability of tackle success (the tackler preventing the ball-carrier and ball from progressing towards the tackler try-line) when contacting the ball-carrier at different heights (shoulder, mid-torso and legs) for different types of tackles (active, passive, smother and arm) while accounting for other tackler situational factors within seven playing levels. Video footage of 271 male rugby union matches were analysed across seven playing groups (Under [U] 12, n = 25 matches; U14, n = 35; U16, n = 39; U18 Amateur n = 39; U18 Elite n = 38; Senior Amateur, n = 40 and Senior Elite, n = 50) across England, New Zealand, South Africa, Portugal and USA (a total of 51,106 tackles). A multi-level logistic regression model with tackle success as the outcome variable and first point of contact and type of tackle as the explanatory variables were computed. Included in the model as cofounders were the situational variables tackle direction, tackle sequence, number of players in the tackle and attacker intention. Post-estimation marginal effects were used to calculate the probabilities (expressed as a percentage %) of tackle success for each interaction between tackle type (active shoulder, smother, passive shoulder and arm) and the first point of contact (shoulder, mid-torso and legs). The probability of tackle success in relation to where the ball-carrier is contacted varied by tackle type and within each age group. The probabilities (Pr) for contacting the shoulder versus mid-torso at the senior levels (elite and amateur) did not differ in relation to tackle success (for instance, for active shoulder tackles within senior elite; shoulder Pr 86% 95% CI 82-89 and mid-torso Pr 82% 95% CI 77-86), whereas at the junior levels, contacting the shoulder had a higher probability than other points of contact. Active shoulder tackles had the highest probability of tackle success across the different playing levels across the different contact heights, whereas arm tackles had the lowest probability (for instance, for mid-torso tackles within senior elite, active Pr 82% 95% CI 77-86 vs. arm Pr 69% 95% CI 64-75). Coaches and practitioners can use this information to improve tackle training design and planning within the different age groups and facilitate player development.
dc.identifier.citationEur J Sport Sci, ISSN: 1746-1391 (Print); 1536-7290 (Online), Wiley, 25(8), e70003-. doi: 10.1002/ejsc.70003
dc.identifier.doi10.1002/ejsc.70003
dc.identifier.issn1746-1391
dc.identifier.issn1536-7290
dc.identifier.urihttp://hdl.handle.net/10292/19597
dc.languageeng
dc.publisherWiley
dc.relation.urihttps://onlinelibrary.wiley.com/doi/10.1002/ejsc.70003
dc.rights© 2025 The Author(s). European Journal of Sport Science published by Wiley-VCH GmbH on behalf of European College of Sport Science. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
dc.rights.accessrightsOpenAccess
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectgame analysis
dc.subjectinjury and prevention
dc.subjectperformance
dc.subjectskill
dc.subjectteam sport
dc.subject42 Health Sciences
dc.subject4207 Sports Science and Exercise
dc.subject0913 Mechanical Engineering
dc.subject1106 Human Movement and Sports Sciences
dc.subjectSport Sciences
dc.subject4207 Sports science and exercise
dc.subject5201 Applied and developmental psychology
dc.subject.meshHumans
dc.subject.meshMale
dc.subject.meshAthletic Performance
dc.subject.meshFootball
dc.subject.meshLogistic Models
dc.subject.meshVideo Recording
dc.subject.meshCompetitive Behavior
dc.subject.meshShoulder
dc.subject.meshShoulder
dc.subject.meshHumans
dc.subject.meshLogistic Models
dc.subject.meshCompetitive Behavior
dc.subject.meshFootball
dc.subject.meshVideo Recording
dc.subject.meshMale
dc.subject.meshAthletic Performance
dc.subject.meshHumans
dc.subject.meshMale
dc.subject.meshAthletic Performance
dc.subject.meshFootball
dc.subject.meshLogistic Models
dc.subject.meshVideo Recording
dc.subject.meshCompetitive Behavior
dc.subject.meshShoulder
dc.titleTackle Height and Tackle Success-An Analysis of 52,204 Tackle Events.
dc.typeJournal Article
pubs.elements-id618715

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