September 2022 The causal effect of a timeout at stopping an opposing run in the NBA
Connor P. Gibbs, Ryan Elmore, Bailey K. Fosdick
Author Affiliations +
Ann. Appl. Stat. 16(3): 1359-1379 (September 2022). DOI: 10.1214/21-AOAS1545

Abstract

In the summer of 2017, the National Basketball Association reduced the number of total timeouts, along with other rule changes, to regulate the flow of the game. With these rule changes it becomes increasingly important for coaches to effectively manage their timeouts. Understanding the utility of a timeout under various game scenarios, for example, during an opposing team’s run, is of the utmost importance. There are two schools of thought when the opposition is on a run: (1) call a timeout and allow your team to rest and regroup, or (2) save a timeout and hope your team can make corrections during play. This paper investigates the credence of these tenets using the Rubin causal model framework to quantify the causal effect of a timeout in the presence of an opposing team’s run. Too often overlooked, we carefully consider the stable unit-treatment-value assumption (SUTVA) in this context and use the SUTVA to motivate our definition of units. To measure the effect of a timeout, we introduce a novel, interpretable outcome based on the score difference to describe broad changes in the scoring dynamics. This outcome is well suited for situations where the quantity of interest fluctuates frequently, a commonality in many sports analytics applications. We conclude from our analysis that, while comebacks frequently occur after a run, it is slightly disadvantageous to call a timeout during a run by the opposing team and further demonstrate that the magnitude of this effect varies by franchise.

Acknowledgments

We would like to thank Damian Wandler for initially posing an early variant of this problem to one of the authors. In addition, we thank the organizers and attendees of the 2019 Carnegie Mellon Sports Analytics Conference for the insightful questions, comments, and suggestions, and the organizers of the 2019 UConn Sports Analytics Symposium for funding which made presenting this work at its early stages possible. We thank the anonymous Associate Editor and reviewer for their insightful comments which substantially improved this work. Finally, thank you to Julia Campbell for listening to ramblings about this work far more than you should have to endure.

Citation

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Connor P. Gibbs. Ryan Elmore. Bailey K. Fosdick. "The causal effect of a timeout at stopping an opposing run in the NBA." Ann. Appl. Stat. 16 (3) 1359 - 1379, September 2022. https://doi.org/10.1214/21-AOAS1545

Information

Received: 1 July 2021; Published: September 2022
First available in Project Euclid: 19 July 2022

MathSciNet: MR4455884
zbMATH: 1498.62346
Digital Object Identifier: 10.1214/21-AOAS1545

Keywords: Causal inference , Matching , sports statistics

Rights: Copyright © 2022 Institute of Mathematical Statistics

Vol.16 • No. 3 • September 2022
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