DRAFTING AGENT-BASED MODELING INTO BASKETBALL ANALYTICS

被引:1
作者
Oldham, Matthew [1 ]
Crooks, Andrew T. [1 ]
机构
[1] George Mason Univ, Dept Computat & Data Sci, 4400 Univ Dr, Fairfax, VA 22030 USA
来源
2019 SPRING SIMULATION CONFERENCE (SPRINGSIM) | 2019年
关键词
agent-based modeling; sports analytics; hot-hand effect; HOT HAND; SPORTS;
D O I
10.23919/springsim.2019.8732893
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The growth of sports analytics (SA) has raised numerous research topics across a variety of sports, including basketball. Agent-based modeling (ABM) has great potential to assist and inform SA, but to date it has not been utilized. To support the use of ABM in SA, a model of a basketball game, which considers most fundamentals of play, is presented. Additionally, player behavior is partially predicated on assessing the length of a player's shooting streak (testing the "hot-hand" effect) and the consideration a team gives to a streak and their franchise player. The model's output is used to calibrate and validate it against statistics from the National Basketball Association (NBA). Via a set of experiments, the model indicates that an increased belief in the franchise player leads to increased scoring action, but a belief in the hot-hand a minor effect. Thereby, demonstrating the utility of ABM to SA, thus opening a new research field.
引用
收藏
页数:12
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