Decision making for basketball clutch shots: A data driven approach

Pub Date : 2023-08-23 DOI:10.3233/jsa-220682
Yuval Eppel, M. Kaspi, Amichai Painsky
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Abstract

Decision making is considered one of the most important aspects for winning a basketball game. In the final minutes of the game (clutch time), these decisions become even more crucial. In particular –who shall take the final, game-winning shots? While some coaches believe it is the team’s star, others may prefer the ‘clutch’ player (who seemingly performs better in clutch time), or the ‘hot’ player who was having a great game that night. In this work we study policy making in clutch minutes. Specifically, we introduce different policies for choosing the shot-taker (for example, according to field goal percentage). Then, we compare the policies and rank them to create a policy hierarchy, which serves as a decision guide for the coach. We show that when our recommendations are implemented (i.e., the highest ranked player takes the shot) the success rate is significantly greater: 51.2%, compared to 41.3% in commonly taken clutch shots. Furthermore, our results indicate that players who excelled in past clutch shots are more likely to succeed, independently to their performance in the current game.
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篮球关键投篮决策:一种数据驱动的方法
决策被认为是赢得篮球比赛最重要的方面之一。在比赛的最后几分钟(关键时刻),这些决定变得更加关键。特别是,谁将在最后赢得比赛?虽然一些教练认为这是球队的明星,但其他人可能更喜欢“关键”球员(他似乎在关键时刻表现更好),或者当晚表现出色的“热门”球员。在这项工作中,我们研究了关键时刻的政策制定。具体来说,我们引入了不同的策略来选择击球手(例如,根据投篮命中率)。然后,我们比较策略并对其进行排序,以创建一个策略层次结构,作为教练的决策指南。我们发现,当我们的建议得到实施时(即,排名最高的球员投篮),成功率明显更高:51.2%,而通常的关键投篮成功率为41.3%。此外,我们的研究结果表明,在过去的关键投篮中表现出色的球员更有可能成功,这与他们在当前比赛中的表现无关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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