All about momentum: Investigating high-pressure situations in the NBA through scoring probability
Year: 2025
Type: article
Abstract: One of the defining characteristics of real basketball stars, and even great role players, is how well they perform under immense mental pressure. This paper presents a method to identify high-pressure situations during a basketball game through shooting success. Our analysis incorporates a novel feature set that emphasizes both player- and team-level momentum, including scoring streaks. Additionally, we redefine player roles using a clustering-based approach with deep learning techniques, allowing for a more nuanced evaluation of performance under pressure. Using six seasons of NBA data, we find that shotmaking is mainly impacted by the so-called momentum , i.e., when a team outscores their opponent significantly over a short period of time.
Authors: Balázs Mihályi, Gergely Biczók, László Toka
Language: English
Subfield: Economics and Econometrics
Domain: Social Sciences
Open Access status: bronze
Awards: G1488728551, G8165792081
OpenAlex ID: W4409721930
