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Player Tracking Data in Sports
Annual Review of Statistics and Its Application ( IF 7.9 ) Pub Date : 2022-11-01 , DOI: 10.1146/annurev-statistics-033021-110117
Stephanie A. Kovalchik 1
Affiliation  

There has been rapid growth in the collection of player tracking data in recent years. These data, providing spatiotemporal locations of players and ball at high resolution, have spurred methodological developments in a range of sports. There have been impacts in the development of player performance measurement (e.g., distance traveled) and in the attribution of value to specific plays (e.g., expected points from a given position) or even specific actions within a play. This review highlights key methodological contributions via statistical and machine learning approaches. The studies and outcomes discussed show how sports can be a playground for extending analytical techniques in a range of areas. The review also describes the ongoing methodological challenges associated with the use of tracking data.

中文翻译:

体育运动中的球员追踪数据

近年来,玩家跟踪数据的收集迅速增长。这些数据以高分辨率提供了运动员和球的时空位置,促进了一系列运动方法的发展。对球员表现测量(例如,行进距离)的发展以及对特定比赛的价值归属(例如,给定位置的预期得分)甚至比赛中的特定动作的发展产生了影响。这篇综述强调了通过统计和机器学习方法做出的关键方法论贡献。讨论的研究和结果表明,体育如何成为在一系列领域扩展分析技术的游乐场。该评论还描述了与跟踪数据的使用相关的持续方法论挑战。
更新日期:2022-11-01
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