一种对评估运动员表现的等级方法,在精英篮球中有应用
Thiago de Paula Oliveira1,2,3, John Newell4,5
1School of Mathematical and Statistical Sciences, University of Galway, Galway, Ireland. toliveira@abacusbio.com.
Scientific reports
|January 19, 2024
概括
我们开发了ON分数,这是一个新的指标,用于评估球员和团队的表现,使用混合效应模型和主要组件分析. 这种可靠的工具为教练和经理提供了更深入的见解,以提高团队战略和球员发展.
科学领域:
- 运动分析 运动分析
- 统计建模 统计建模
- 绩效评价 绩效评价 绩效评价 绩效评价
背景情况:
- 传统的运动员表现指标往往忽视了体育数据的等级结构 (球员在球队中的季节).
- 现有的评估系统可能无法对运动员的整体贡献进行全面的,全赛季或单场比赛的评估.
研究的目的:
- 引入和验证ON分数,这是一种用于评估个人运动员和团队表现的新型指标.
- 为教练,总经理和球员代理提供可靠和高效的工具,以更深入地了解球员的贡献.
主要方法:
- 利用混合效应回归模型来解释层次数据结构 (玩家嵌套在团队内).
- 使用主要组件分析 (PCA) 来得出一个单一的,全面的ON分数,代表运动员的整体表现.
- 将该方法应用于2015-2019年国家篮球协会 (NBA) 比赛的大数据集.
主要成果:
- 通过两种系统验证方法证明了ON得分的可靠性.
- ON分数有效地捕捉了运动员的整体贡献,整个赛季的表现和单场比赛的影响.
- 与贝叶斯方法相比,该方法提供了更快的计算速度.
结论:
- ON分数为体育分析提供了强大,可靠和高效的工具,增强了团队管理的决策.
- 这种方法通过结合在其他评分系统中经常被忽视的层次数据结构,提供了对运动员表现的更全面的评估.
- ON分数作为未来体育分析和绩效评估方面的进步的基础.
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