Abstract
Does the Hot Hand phenomenon exist during basketball, especially in the NBA? This question has been controversial over the past years in the sports field. The enormous literature on the Hot Hand effect in basketball was conducted to investigate the Hot Hand hypothesis. This study analyzes this question using a novel data set of all mid-range shots from the 2023-2024 NBA regular season, combined with data on teams and players. A model was built based on the definition of the Hot Hand and potential influential variables such as distance and location to analyze the players' shot data. Supervised machine learning methods fit the model and measure its performance. The results suggest that mid-range shooting streaks do not affect making the next shot in game situations, indicating that the Hot Hand effect is not present in mid-range shooting situations.
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