Drafting agent-based modeling into basketball analytics
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.
Tesis completa: Basketball analytics
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