The causal effect of the two-for-one strategy in the national basketball association

Abstract This study evaluates the effectiveness of the “two-for-one” strategy in basketball by applying a causal inference framework to play-by-play data from the 2018–19 and 2021–22 National Basketball Association regular seasons. Incorporating factors such as player lineup, betting odds, and player ratings, we compute the average treatment effect and find that the two-for-one strategy has a positive impact on game outcomes, suggesting it can benefit teams when employed effectively. Additionally, we investigate potential heterogeneity in the strategy’s effectiveness using the causal forest framework, with tests indicating no significant variation across different contexts. These findings offer valuable insights into the tactical advantages of the two-for-one strategy in professional basketball.

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Publication Details

Journal
Journal of Quantitative Analysis in Sports
Published
2026-02-16
DOI
https://doi.org/10.1515/jqas-2024-0174
Primary Topic
Advanced Causal Inference Techniques
Type
article
Field-Weighted Citation Impact
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article

The causal effect of the two-for-one strategy in the national basketball association

Prateek Sasan, Daryl Swartzentruber
Journal of Quantitative Analysis in Sports
Advanced Causal Inference Techniques
article

The causal effect of the two-for-one strategy in the national basketball association

Prateek Sasan, Daryl Swartzentruber
article en

Abstract

Abstract This study evaluates the effectiveness of the “two-for-one” strategy in basketball by applying a causal inference framework to play-by-play data from the 2018–19 and 2021–22 National Basketball Association regular seasons. Incorporating factors such as player lineup, betting odds, and player ratings, we compute the average treatment effect and find that the two-for-one strategy has a positive impact on game outcomes, suggesting it can benefit teams when employed effectively. Additionally, we investigate potential heterogeneity in the strategy’s effectiveness using the causal forest framework, with tests indicating no significant variation across different contexts. These findings offer valuable insights into the tactical advantages of the two-for-one strategy in professional basketball.

Journal of Quantitative Analysis in Sports
Centre College (US), The Ohio State University (US)
Openalex Percentile: Top 56%
Advanced Causal Inference Techniques
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