在精英女子足球赛中,加速速度分析所需的最低赛事数量
Patrick Cormier1,2,3, Ming-Chang Tsai1, Cesar Meylan1,3,4
1Canadian Sport Institute Pacific, Victoria, BC, Canada.
International journal of sports physiology and performance
|September 23, 2023
概括
有效的加速速度 (AS) 配置文件可以从全球导航卫星系统 (GNSS) 数据中可靠地估计,使用至少九个训练或比赛事件. 这一发现对于优化足球运动员表现监测至关重要.
科学领域:
- 运动科学 运动科学 运动科学
- 生物力学 生物力学
- 绩效分析 绩效分析
背景情况:
- 准确评估运动员的身体表现对于训练处方和伤害预防至关重要.
- 全球导航卫星系统 (GNSS) 技术提供了一种可行的方法,可以在训练和比赛期间跟踪运动员的运动.
- 来自GNSS数据的加速-速度 (AS) 配置文件需要足够的数据点来进行可靠的估计.
研究的目的:
- 为了确定使用GNSS数据生成有效的加速速度 (AS) 配置文件所需的最低训练或比赛事件数量.
- 为了比较从聚合事件中获得的AS配置指标与从专用冲刺测试中获得的信息.
主要方法:
- 分析了9名精英女足球运动员在4周的训练营中参加的19场比赛的数据.
- 加速速度 (AS) 配置文件是从GNSS 10-Hz数据计算出来的,并与冲刺测试中的力-速度 (FV) 配置文件进行比较.
- 使用线性混合模型和Dunnett hoc后期测试来根据聚合事件的数量确定AS指标的意义.
主要成果:
- 理论上的最大速度和加速度指标在统计学上与919和619事件的冲刺测试参考结果相似.
- 在所有测试的事件组合 (119事件) 中,斜率指标与参考值没有显著差异.
- 在从9个或更多事件汇总时,观察到关键AS个人资料指标的小到微不足道的差异.
结论:
- 至少9天的GNSS跟踪数据足以估计精英女足球运动员的有效加速度概况.
- 这一发现支持使用汇总的培训和匹配数据进行绩效监测.
- 建议进行进一步的研究,以探索从更少的事件中获得AS配置文件的方法.
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