Key variables for predicting scoring success in Brazilian basketball games

The objective of this study was to identify the variables that can predict the number of points scored by teams in Brazil's national basketball league. A total of 182 NBB games were analyzed using scouting variables including free-throw, 2-point, and 3-point shooting percentages; free-throw, 2-point, and 3-point attempts; number of defensive and offensive rebounds; number of assists, steals, turnovers, violations, and fouls committed and received. A Multiple Linear Regression analysis (SPSS, v.19) was used to determine which variables predict the number of points scored in a game. The prediction of the number of points scored was achieved (a) without considering shooting variables, (b) considering only shooting-related variables, and (c) considering all analyzed variables, explaining 30.5%, 62.9%, and 63.2% of the variation in scoring behavior, respectively. These findings can be used to enhance basketball training by focusing on the most determinant variables for scoring in games.

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Publication Details

Journal
MOJ Sports Medicine
Published
2024-09-18
DOI
https://doi.org/10.15406/mojsm.2024.07.00171
Primary Topic
Sports Performance and Training
Type
article
Field-Weighted Citation Impact
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article

Key variables for predicting scoring success in Brazilian basketball games

Victor Hugo Alves Okazaki, Emanuel Messias Oliveira de Carvalho
MOJ Sports Medicine
Sports Performance and Training
article

Key variables for predicting scoring success in Brazilian basketball games

Victor Hugo Alves Okazaki, Emanuel Messias Oliveira de Carvalho
article en

Abstract

The objective of this study was to identify the variables that can predict the number of points scored by teams in Brazil's national basketball league. A total of 182 NBB games were analyzed using scouting variables including free-throw, 2-point, and 3-point shooting percentages; free-throw, 2-point, and 3-point attempts; number of defensive and offensive rebounds; number of assists, steals, turnovers, violations, and fouls committed and received. A Multiple Linear Regression analysis (SPSS, v.19) was used to determine which variables predict the number of points scored in a game. The prediction of the number of points scored was achieved (a) without considering shooting variables, (b) considering only shooting-related variables, and (c) considering all analyzed variables, explaining 30.5%, 62.9%, and 63.2% of the variation in scoring behavior, respectively. These findings can be used to enhance basketball training by focusing on the most determinant variables for scoring in games.

MOJ Sports MedicineVol. 7(3)
Openalex Percentile: Top 78%
Sports Performance and Training
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