The application of match-event and instrumented mouthguard data to inform match limits: An example using rugby union Premiership and rugby league Super League data from England

Thomas Sawczuk, Matt Cross, Cameron Owen, Gregory Roe, Keith Stokes, Simon Kemp, James Tooby, David Allan, Éanna Falvey, Lindsay Starling, Gregory Tierney, Ross Tucker, Ben Jones
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Abstract

The study aimed to illustrate how contact (from match-event data) and head acceleration event (HAE) (from instrumented mouthguard [iMG]) data can be combined to inform match limits within rugby. Match-event data from one rugby union and rugby league season, including all competitive matches involving players from the English Premiership and Super League, were used. Playing exposure was summarised as full game equivalents (FGE; total minutes played/80). Expected contact and HAE exposures at arbitrary thresholds were estimated using match-event and iMG data. Generalised linear models were used to identify differences in contact and HAE exposure per FGE. For 30 FGEs, forwards had greater contact than backs in rugby union (n = 1272 vs. 618) and league (n = 1569 vs. 706). As HAE magnitude increased, the differences between positional groups decreased (e.g., rugby union; n = 34 and 22 HAE >40 g for forwards and backs playing 30 FGEs). Currently, only a relatively small proportion of rugby union (2.5%) and league (7.3%) players exceeded 25 FGEs. Estimating contact and HAEs per FGE allows policymakers to prospectively plan and model estimated overall and position-specific loads over a season and longer term. Reducing FGE limits by a small amount would currently only affect contact and HAE exposure for a small proportion of players who complete the most minutes. This may be beneficial for this cohort but is not an effective HAE and contact exposure reduction strategy at a population level, which requires individual player management. Given the positional differences, FGE limits should exist to manage appropriate HAE and contact exposure.

Abstract Image

应用比赛事件和仪器化护齿器数据为比赛限制提供信息:以英格兰橄榄球联盟英超联赛和橄榄球联盟超级联赛数据为例。
该研究旨在说明如何将接触(来自比赛事件数据)和头部加速度事件(HAE)(来自仪器护齿 [iMG])数据结合起来,为橄榄球比赛限制提供信息。我们使用了一个橄榄球联盟和橄榄球联赛赛季的比赛事件数据,包括涉及英超和超级联赛球员的所有竞技比赛。比赛暴露总结为全场比赛当量(FGE;比赛总分钟数/80)。利用比赛事件和 iMG 数据估算任意阈值下的预期接触暴露和 HAE 暴露。使用广义线性模型确定每个 FGE 的接触和 HAE 暴露差异。在 30 个 FGE 中,橄榄球联盟(n = 1272 对 618)和联赛(n = 1569 对 706)中前锋的接触比后卫多。随着 HAE 值的增加,位置组之间的差异也在缩小(例如橄榄球联盟;前锋和后卫在 30 次 FGE 中的 HAE 值大于 40 g 的人数分别为 34 人和 22 人)。目前,只有相对较小比例的橄榄球联盟(2.5%)和联赛(7.3%)球员超过 25 个 FGEs。通过估算每个 FGE 的接触和 HAE,政策制定者可以前瞻性地规划和模拟一个赛季或更长时期内估计的整体负荷和特定位置负荷。目前,少量降低 FGE 限制只会影响一小部分上场时间最长的球员的接触和 HAE 暴露。这可能对这部分球员有利,但在人口层面上,这并不是一种有效的减少 HAE 和接触暴露的策略,因为这需要对球员进行个体管理。鉴于位置上的差异,FGE 限制应存在,以管理适当的 HAE 和接触暴露。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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