强度梯度:在足球中解释外部负载的新方法
Ruairidh McGregor1,2, Liam Anderson2, Matthew Weston3,4
1Rangers Football Club, Glasgow, United Kingdom.
概括
将全球导航卫星系统 (GNSS) 数据转换为梯度可以减少变化,并改善对团队体育活动需求的测量. 与传统的每分钟指标相比,这种渐变方法提供了一种更一致的方法来分析玩家强度.
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:
- 全球导航卫星系统 (GNSS) 设备对于量化团队体育活动需求至关重要.
- 当前的方法经常使用离散区域和每分钟计算,这些对持续时间测量错误很敏感,并且可以产生可变的结果.
- 另一种方法是将GNSS数据转换为梯度,以提高测量的一致性.
研究的目的:
- 通过使用GNSS数据,批判性地评估梯度方法测量团队体育活动需求的有效性.
- 为了比较梯度衍生指标的变化性和一致性与传统的每分钟指标.
- 评估梯度在区分不同比赛类型和球员位置方面的有用性.
主要方法:
- 收集了来自129场第一队和73场学院足球比赛的GNSS数据.
- 计算速度,加速度和减速区的梯度指标.
- 将梯度指标与标准每分钟指标进行比较,分析平均值,95%的置信区间,以及各级,各位置和各个人的主体内变化系数.
主要成果:
- 梯度方法与每分钟指标的一致性证明了游戏级别和位置组的一致性.
- 与大多数每分钟变量 (10.7%84.5%) 相比,梯度的变化率较低 (变率10.8%26.9%).
- 这表明梯度提供了更稳定的活动强度表示.
结论:
- 梯度指标代表了一种潜在的有价值的方法来描述团队运动中的强度.
- 梯度与现有的强度变量相比较有利,可以区分比赛类型和球员位置.
- 有证据支持使用梯度变量来监测团队运动中的比赛和训练强度.
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