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Modeling Player and Team Performance in Basketball
Annual Review of Statistics and Its Application ( IF 7.4 ) Pub Date : 2021-03-08 , DOI: 10.1146/annurev-statistics-040720-015536
Zachary Terner 1 , Alexander Franks 1
Affiliation  

In recent years, analytics has started to revolutionize the game of basketball: Quantitative analyses of the game inform team strategy; management of player health and fitness; and how teams draft, sign, and trade players. In this review, we focus on methods for quantifying and characterizing basketball gameplay. At the team level, we discuss methods for characterizing team strategy and performance, while at the player level, we take a deep look into a myriad of tools for player evaluation. This includes metrics for overall player value, defensive ability, and shot modeling, and methods for understanding performance over multiple seasons via player production curves. We conclude with a discussion on the future of basketball analytics and, in particular, highlight the need for causal inference in sports.

中文翻译:


模拟篮球运动员和球队的表现

近年来,分析已开始彻底改变篮球比赛:对比赛的定量分析可为球队策略提供参考;球员健康和健身管理;以及团队如何起草,签署和交易球员。在这篇评论中,我们集中于量化和表征篮球比赛玩法的方法。在团队层面,我们讨论了表征团队战略和绩效的方法,而在球员层面,我们深入研究了众多评估球员的工具。其中包括球员总体价值,防守能力和投篮模型的度量标准,以及通过球员生产曲线了解多个赛季表现的方法。最后,我们讨论了篮球分析的未来,并特别强调了运动中因果推理的必要性。

更新日期:2021-03-09
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