Newans Tim, Bellinger Phillip, Buxton Simon, Quinn Karlee, Minahan Clare
Griffith Sports Science, Griffith University, Gold Coast, QLD, Australia.
Queensland Academy of Sport, Nathan, QLD, Australia.
Front Sports Act Living. 2021 Feb 11;3:618913. doi: 10.3389/fspor.2021.618913. eCollection 2021.
As women's rugby league grows, the need for understanding the movement patterns of the sport is essential for coaches and sports scientists. The aims of the present study were to quantify the position-specific demographics, technical match statistics, and movement patterns of the National Rugby League Women's (NRLW) Premiership and to identify whether there was a change in the intensity of play as a function of game time played. A retrospective observational study was conducted utilizing global positioning system, demographic, and match statistics collected from 117 players from all NRLW clubs across the full 2018 and 2019 seasons and were compared between the ten positions using generalized linear mixed models. The GPS data were separated into absolute (i.e., total distance, high-speed running distance, and acceleration load) and relative movement patterns (i.e., mean speed, mean high speed (> 12 km·h), and mean acceleration). For absolute external outputs, fullbacks covered the greatest distance (5,504 m), greatest high-speed distance (1,081 m), and most ball-carry meters (97 m), while five-eighths recorded the greatest acceleration load (1,697 m·s). For relative external outputs, there were no significant differences in mean speed and mean high speed between positions, while mean acceleration only significantly differed between wingers and interchanges. Only interchange players significantly decreased in mean speed as their number of minutes played increased. By understanding the load of NRLW matches, coaches, high-performance staff, and players can better prepare as the NRLW Premiership expands. These movement patterns and match statistics of NRLW matches can lay the foundation for future research as women's rugby league expands. Similarly, coaches, high-performance staff, and players can also refine conditioning practices with a greater understanding of the external output of NRLW players.
随着女子橄榄球联盟的发展，对于教练和体育科学家而言，了解这项运动的运动模式至关重要。本研究的目的是量化国家橄榄球联盟女子超级联赛（NRLW）特定位置的人口统计学数据、技术比赛统计数据和运动模式，并确定比赛强度是否随比赛时间的增加而变化。利用全球定位系统、人口统计学数据以及从2018年和2019年整个赛季所有NRLW俱乐部的117名球员收集的比赛统计数据进行了一项回顾性观察研究，并使用广义线性混合模型在十个位置之间进行比较。GPS数据被分为绝对运动模式（即总距离、高速奔跑距离和加速负荷）和相对运动模式（即平均速度、平均高速（>12公里·小时）和平均加速度）。对于绝对外部输出，边后卫的跑动距离最长（5504米）、高速奔跑距离最长（1081米）且带球推进距离最远（97米）；而五号中卫的加速度负荷最大（1697米·秒）。对于相对外部输出，各位置之间的平均速度和平均高速没有显著差异，而平均加速度仅在边锋和替补球员之间存在显著差异。只有替补球员的平均速度随着上场时间的增加而显著下降。通过了解NRLW比赛的负荷，随着NRLW超级联赛的扩大，教练、高水平工作人员和球员能够更好地做好准备。NRLW比赛的这些运动模式和比赛统计数据可为女子橄榄球联盟发展过程中的未来研究奠定基础。同样，教练、高水平工作人员和球员也可以在更了解NRLW球员外部输出的情况下优化训练方法。
