An evaluation of the hot-hand hypothesis in the NBA when accounting for shot difficulty

The hot-hand hypothesis suggests that athletes can experience periods of exceptional performance where the success of their next action is influenced by previous successes. This study examines the hot-hand phenomenon in the context of the NBA, focusing on shot difficulty as a critical factor. Previous research has yielded conflicting results, often ignoring the varying difficulty of shots and the role of defensive pressure. Utilizing shot log data from the 2014-2015 NBA season, this paper introduces new models that account for shot difficulty with defender proximity. By employing XGBoost classifiers and difficulty-weighted metrics, we find that while traditional hot-hand effects are minimal, adjusting for shot difficulty reveals a reverse hot-hand effect: players tend to perform worse following streaks of successful but difficult shots. This research provides a nuanced understanding of the hot-hand phenomenon, highlighting the importance of considering shot difficulty in sports performance analysis. These findings have implications for coaching strategies and the psychological interpretation of performance streaks in competitive basketball.

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Publication Details

Journal
International Journal of Sports Science & Coaching
Published
2025-09-09
DOI
https://doi.org/10.1177/17479541251374788
Primary Topic
Sports Analytics and Performance
Type
article
Field-Weighted Citation Impact
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article

An evaluation of the hot-hand hypothesis in the NBA when accounting for shot difficulty

Weining Shen, Arya Kondur
International Journal of Sports Science & Coaching
Sports Analytics and Performance
article

An evaluation of the hot-hand hypothesis in the NBA when accounting for shot difficulty

Weining Shen, Arya Kondur
article en

Abstract

The hot-hand hypothesis suggests that athletes can experience periods of exceptional performance where the success of their next action is influenced by previous successes. This study examines the hot-hand phenomenon in the context of the NBA, focusing on shot difficulty as a critical factor. Previous research has yielded conflicting results, often ignoring the varying difficulty of shots and the role of defensive pressure. Utilizing shot log data from the 2014-2015 NBA season, this paper introduces new models that account for shot difficulty with defender proximity. By employing XGBoost classifiers and difficulty-weighted metrics, we find that while traditional hot-hand effects are minimal, adjusting for shot difficulty reveals a reverse hot-hand effect: players tend to perform worse following streaks of successful but difficult shots. This research provides a nuanced understanding of the hot-hand phenomenon, highlighting the importance of considering shot difficulty in sports performance analysis. These findings have implications for coaching strategies and the psychological interpretation of performance streaks in competitive basketball.

International Journal of Sports Science & Coaching
University of California, Irvine (US)
Openalex Percentile: Top 67%
Sports Analytics and Performance
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