Department of Sport Studies, Faculty of Applied Sciences, Durban University of Technology, Durban, South Africa.
Carnegie Applied Rugby Research (CARR) Centre, Institute for Sport, Physical Activity and Leisure, Carnegie School of Sport, Leeds Beckett University, Leeds, UK.
Eur J Sport Sci. 2020 Jul;20(6):722-733. doi: 10.1080/17461391.2019.1660410. Epub 2019 Sep 10.
Contemporary theories on players' intensity distribution in team sports suggest that they regulate their outputs using pacing strategies. There is currently limited information on how movement patterns and pacing strategies of rugby union players in different position groups (forwards and backs) vary when exposed to different bout types (whole game, starter or finisher). Global positioning system (GPS) and accelerometer data were collected from 100 professional match participations to determine temporal effects on movement patterns. For forwards, finishers (players who entered the game as substitutes) demonstrated significantly greater high-speed running distance (% difference, ± 90%CI; magnitude-based inference and effect size) (↑ 55, ±17%; large) and acceleration frequency (↑ 78, ±59%; large) than whole game players. For backs, starters (players who started the game and were later substituted) displayed greater high-speed running distance than whole game players (↑ 27, ±21%; ES = medium) but this difference did not achieve statistical significance ( = .07). Forwards displayed "slow-positive" pacing strategies regardless of bout type, while backs displayed "flat" pacing strategies. Forwards and backs adopt different pacing strategies regardless of bout type, with forwards demonstrating progressively greater performance decrements over the course of the match. These findings reflect differing physical demands, notably contact and running loads, of players in different positions.
当代团队运动中运动员强度分布的理论表明,他们使用调整策略来控制自己的输出。目前关于橄榄球联盟中不同位置组(前锋和后卫)的运动员在不同回合类型(全场比赛、首发或替补)下的运动模式和调整策略如何变化的信息有限。通过全球定位系统 (GPS) 和加速度计收集了 100 名职业比赛参与者的数据,以确定对运动模式的时间影响。对于前锋来说,终结者(替补上场的球员)的高速跑动距离(%差异,±90%CI;基于幅度的推断和效应大小)(↑ 55,±17%;大)和加速度频率(↑ 78,±59%;大)明显高于全场比赛球员。对于后卫来说,首发球员(首发并随后被替换的球员)的高速跑动距离大于全场比赛球员(↑ 27,±21%;ES=中),但这一差异没有达到统计学意义(=0.07)。无论回合类型如何,前锋都表现出“缓慢积极”的调整策略,而后卫则表现出“平稳”的调整策略。无论回合类型如何,前锋和后卫都采用不同的调整策略,前锋在比赛过程中表现出逐渐增大的性能下降。这些发现反映了不同位置球员的不同身体需求,特别是接触和跑动负荷。