The causal effect of a timeout at stopping an opposing run in the NBA

11/23/2020
by   Connor Gibbs, et al.
0

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 use 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.

READ FULL TEXT

page 18

page 19

research
09/14/2020

Stop the Clock: Are Timeout Effects Real?

Timeout is a short interruption during games used to communicate a chang...
research
07/12/2020

A Probabilistic Approach to Identifying Run Scoring Advantage in the Order of Playing Cricket

In the game of cricket, the result of coin toss is assumed to be one of ...
research
04/10/2023

Linking a predictive model to causal effect estimation

A predictive model makes outcome predictions based on some given feature...
research
12/22/2020

Having a Ball: evaluating scoring streaks and game excitement using in-match trend estimation

Many popular sports involve matches between two teams or players where e...
research
11/20/2019

Bayesian Hierarchical Models for the Prediction of Volleyball Results

Statistical modelling of sports data has become more and more popular in...
research
10/22/2022

Partially Constrained Group Variable Selection to Adjust for Complementary Unit Performance in American College Football

Given the importance of accurate team rankings in American college footb...
research
05/09/2023

Evaluating plate discipline in Major League Baseball with Bayesian Additive Regression Trees

We introduce a three-step framework to determine, on a per-pitch basis, ...

Please sign up or login with your details

Forgot password? Click here to reset