Univ Lyon, UJM-Saint-Etienne, Laboratoire Interuniversitaire de Biologie de la Motricité, EA 7424, F-42023 Saint-Etienne, France.
Univ Lyon, UJM-Saint-Etienne, Laboratoire Interuniversitaire de Biologie de la Motricité, EA 7424, F-42023 Saint-Etienne, France.
J Biomech. 2021 Jun 23;123:110524. doi: 10.1016/j.jbiomech.2021.110524. Epub 2021 May 15.
Assessing football players' sprint mechanical outputs is key to the performance management process (e.g. talent identification, training, monitoring, return-to-sport). This is possible using linear sprint testing to derive force-velocity-power outputs (in laboratory or field settings), but testing requires specific efforts and the movement assessed is not specific to the football playing tasks. This proof-of-concept short communication presents a method to derive the players' individual acceleration-speed (AS) profile in-situ, i.e. from global positioning system data collected over several football sessions (without running specific tests). Briefly, raw speed data collected in 16 professional male football players over several training sessions were plotted, and for each 0.2 m/s increment in speed from 3 m/s up to the individual top-speed reached, maximal acceleration output was retained to generate a linear AS profile. Results showed highly linear AS profiles for all players (all R > 0.984) which allowed to extrapolate the theoretical maximal speed and accelerations as the individual's sprint maximal capacities. Good reliability was observed between AS profiles determined 2 weeks apart for the players tested, and further research should focus on deepening our understanding of these methodological features. Despite the need for further explorations (e.g. comparison with conceptually close force-velocity assessments that require, isolated and not football-specific linear sprint tests), this in-situ approach is promising and allows direct assessment of football players within their specific acceleration-speed tasks. This opens several perspectives in the performance and injury prevention fields, in football and likely other sprint-based team sports, and the possibility to "test players without testing them".
评估足球运动员的冲刺机械输出是绩效管理过程的关键(例如,人才识别、训练、监测、重返赛场)。这可以通过线性冲刺测试来获得力-速度-功率输出(在实验室或现场环境中),但测试需要特定的努力,并且评估的运动与足球比赛任务不特定。本概念验证性简短交流介绍了一种从几个足球训练中收集的全球定位系统数据中现场推导运动员个体加速度-速度 (AS) 曲线的方法,即无需进行特定测试。简而言之,在几个训练期间收集的 16 名职业男性足球运动员的原始速度数据被绘制出来,对于从 3 m/s 到达到的个体最高速度的每 0.2 m/s 的速度增量,保留最大加速度输出以生成线性 AS 曲线。结果表明,所有运动员的 AS 曲线都具有高度的线性(所有 R > 0.984),这允许推断出理论最大速度和加速度,作为个体的冲刺最大能力。对于接受测试的运动员,相隔 2 周确定的 AS 曲线之间观察到了良好的可靠性,进一步的研究应集中在加深对这些方法特征的理解上。尽管需要进一步探索(例如,与需要单独且非特定于足球的线性冲刺测试的概念上相近的力-速度评估进行比较),但这种现场方法很有前途,可以在特定的加速度-速度任务中直接评估足球运动员。这在足球和可能其他基于冲刺的团队运动的表现和伤害预防领域开辟了几个视角,并有可能“在不测试运动员的情况下测试他们”。