The causal effect of a timeout at stopping an opposing run in the NBA
Connor Gibbs, Ryan Elmore, Bailey Fosdick

TL;DR
This paper uses causal inference to evaluate whether calling a timeout during an opposing team's run in the NBA affects game outcomes, revealing nuanced effects that vary by franchise.
Contribution
It introduces a novel causal analysis framework for timeout effects in basketball, considering SUTVA and a new outcome measure based on score difference.
Findings
Timeouts during opposing runs are slightly disadvantageous overall.
The effect of timeouts varies significantly across different NBA franchises.
Comebacks are common after runs, but timing of timeouts influences success.
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, e.g., 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…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSports Analytics and Performance
