Applied Sport Technology Exercise and Medicine Research Centre (A-STEM), College of Engineering, Swansea University, Swansea, Wales.
School of Psychology and Therapeutic Studies, University of South Wales, Rhondda Cynon Taff, Wales.
PLoS One. 2018 Sep 12;13(9):e0202811. doi: 10.1371/journal.pone.0202811. eCollection 2018.
The use of physical tests to profile physical capabilities, and provide training direction to athletes is common practice. Likewise, in professional team sports, notational analysis codes the key contributions of each player during competition. Limited studies have however investigated relationships between physical capabilities and key performance indicators (KPIs) of rugby union match-play. Elite professional players, categorised as forwards (n = 15) or backs (n = 14), from an international rugby union squad (n = 29) undertook assessments of isometric mid-thigh pull (IMTP), bilateral and unilateral countermovement jumps (CMJ) and drop jumps (DJ; from 40 and 20 cm, respectively), and assessment of acceleration (10 m), a 5 m weighted sled drive, and a Yo-Yo intermittent recovery test level 1 (Yo-Yo IRTL1). Game statistics of the same players from 92 matches (~23 matches per player) during the 2014-15 season were analysed for effort and performance-based metrics. For forwards, Yo-Yo IRTL1 correlated significantly with; number of tackles made (r = 0.717), first three players at a ruck in both attack (r = 0.568) and defence (r = 0.581), number of effective rucks (r = 0.630), total possessions (r = 0.522), passes made (r = 0.651), percentage of carries over the gainline (r = 0.610), effective ruck success (r = 0.600), tackle success (r = 0.540), and the number of turnovers made (r = 0.518). Drop jump performance in forwards was associated with; the number of clean breaks (r = 0.558), dominant collisions (r = 0.589), and offloads (r = 0.594). For backs, the sled-drive test correlated with; number of carries (r = -0.751), first three players at an attacking ruck (r = -0.613), effective attacking rucks (r = -0.584), number of dominant collisions (r = -0.792) and offloads (r = -0.814). Likewise, for backs, IMTP peak force was related to; the number of possessions (r = 0.793), passes made (r = 0.792), effective attacking ruck percentage (r = 0.628), and the number of offloads (r = 0.621) whilst relative peak force correlated with; the percentage of carries over the gainline (r = 0.533), percent tackle success (r = 0.603) and effective attacking ruck percentage (r = 0.584). Regression analyses highlighted that only a small number of variables (i.e., carries, tackles, attacking and defensive first three at ruck) returned practically achievable changes (<20%) in physical qualities. In spite of this, and while leaving scope identification of further physical and/or performance predictors, greater strength, power and intermittent running performance were positively related to match-derived KPIs during competition. This may provide a basis for better integrating the strategies used by physical and technical performance-focused coaching staff to improve key performance indicators, and thus match performance, of rugby union players.
使用物理测试来描绘身体能力,并为运动员提供训练方向是常见的做法。同样,在职业团队运动中,记录分析代码记录了每个球员在比赛中的关键贡献。然而,有限的研究调查了橄榄球联盟比赛中身体能力和关键绩效指标(KPI)之间的关系。来自国际橄榄球队(n = 29)的 15 名前锋(n = 15)或 14 名后卫(n = 14)精英职业球员接受了等长大腿中部拉力(IMTP)、双侧和单侧反跳跳(CMJ)和跳落(分别为 40 和 20 厘米)以及加速度评估(10 米)、5 米带重物雪橇驱动和 Yo-Yo 间歇性恢复测试 1 级(Yo-Yo IRTL1)的评估。在 2014-15 赛季的 92 场比赛(每个球员约 23 场比赛)中,对同一球员的比赛数据进行了分析,以了解比赛中的努力和基于表现的指标。对于前锋,Yo-Yo IRTL1 与以下指标显著相关:(r = 0.717)铲球次数,在进攻(r = 0.568)和防守(r = 0.581)中第一个到争球线的三名球员,有效争球次数(r = 0.630),总控球次数(r = 0.522),传球次数(r = 0.651),越过争球线的持球跑动百分比(r = 0.610),有效争球成功率(r = 0.600),铲球成功率(r = 0.540),以及失误次数(r = 0.518)。前锋的跳落表现与以下指标相关:(r = 0.558)干净突破次数,(r = 0.589)主导碰撞次数,(r = 0.594),和(r = 0.594)。对于后卫,雪橇驱动测试与以下指标相关:(r = -0.751)持球次数,(r = -0.613)进攻争球中前三名球员,(r = -0.584)有效进攻争球次数,(r = -0.792)主导碰撞次数和(r = -0.814),和(r = -0.814)。同样,对于后卫,IMTP 峰值力与以下指标相关:(r = 0.793),(r = 0.792)传球次数,(r = 0.628)有效进攻争球百分比,(r = 0.621),以及(r = 0.621)。而相对峰值力与以下指标相关:(r = 0.533)越过争球线的持球跑动百分比,(r = 0.603),铲球成功率百分比,(r = 0.584)和(r = 0.584)。回归分析强调,只有少数变量(即,持球跑动、铲球、争球中前三名球员)能够实现身体能力的实际可改变性(<20%)。尽管如此,并且在进一步确定身体和/或表现预测指标方面仍有空间,但更大的力量、功率和间歇性跑步表现与比赛中的比赛衍生 KPI 呈正相关。这可能为更好地整合物理和技术表现关注的教练团队使用的策略提供了基础,以提高橄榄球联盟球员的关键绩效指标,从而提高比赛表现。