将进球概率值赋予足球中高强度的比赛
Sam Gregory1,2, Sam Robertson1, Robert Aughey1
1Institute for Health & Sport, Victoria University, Melbourne, Australia.
PloS one
|September 12, 2024
概括
足球中的高强度跑步现在通过目标概率模型来评估其有效性. 这项研究将玩家的速度和加速与有价值的运行联系起来,提供了超越简单工作率指标的更深入的见解.
科学领域:
- 运动科学 运动科学 运动科学
- 足球分析 足球分析
- 生物力学 生物力学
背景情况:
- 高强度运行计数是足球研究中常见的指标,测量球员工作率.
- 然而,这些计数并不能说明这些高强度跑步的有效性或价值.
- 需要将跑步强度与绩效结果联系起来.
研究的目的:
- 使用光学跟踪数据开发足球高强度跑步的价值模型.
- 为了将玩家的运动特征 (速度,加速度,扭曲度) 与运行值相关联.
- 探索高价值运行中的团队协调和位置差异.
主要方法:
- 利用光学跟踪数据将连续值分配给每个,基于拥有球队的进球概率.
- 分析了高强度跑步与分配的目标概率值之间的关系.
- 研究了运行特征 (速度,加速度,曲率) 和运行值之间的相关性,以及并发的高强度运行和位置差异.
主要成果:
- 在更高的速度和加速与高价值运行之间发现了积极的相关性.
- 在曲率 (路径曲率) 和高价值运行之间观察到负相关性.
- 同时进行高强度运行和运行执行的位置变化与团队价值创造有关.
结论:
- 对高强度运行赋值提供了超出简单的体积或强度指标的关键上下文.
- 这种方法可以更细致地了解足球中的球员表现和团队动态.
- 实践者可以使用价值调整的指标来更深入地了解战术有效性.
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