Predicting NBA Player’s Salary Based on Statistics from the Game Using Linear Regression

Mohan Cao

2024

Abstract

For professional sport league like NBA, settling a proper salary for players is vital for the long-term development of a team, since hold players whose performance is out of proportion with its salary could harm the team, especially in a league that set the upper bound of salary. However, it’s hard to quantify a player’s performance by data, then use the “performance” to further predict the salary. Thus, this study focuses on predicting NBA players’ salary by using linear regression of multiple factors to find a direct relationship between specific kind of data on court that correlates to salary at a high extent. The main procedures of this study contain the characterization of different data, which determine whether they correlate well with salary; the processing of the rough data; and the application of the linear regression model with multiple variables that have a strong relationship with the salary. The result of this program is a model that could predict the salary of player in the next few coming season. With this model, teams and fans could predict the salary, given the dataset of those players. The original salary could be a reference to determine the accuracy of the prediction. Also, the weightings and factors of formula in this work could be slightly changed to meet the demands of different cases.

Paper Citation

in Harvard Style

Cao M. (2024). Predicting NBA Player’s Salary Based on Statistics from the Game Using Linear Regression. In Proceedings of the 1st International Conference on Data Science and Engineering - Volume 1: ICDSE; ISBN 978-989-758-690-3, SciTePress, pages 476-480. DOI: 10.5220/0012823900004547

in Bibtex Style

@conference{icdse24,
author={Mohan Cao},
title={Predicting NBA Player’s Salary Based on Statistics from the Game Using Linear Regression},
booktitle={Proceedings of the 1st International Conference on Data Science and Engineering - Volume 1: ICDSE},
year={2024},
pages={476-480},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012823900004547},
isbn={978-989-758-690-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Data Science and Engineering - Volume 1: ICDSE
TI - Predicting NBA Player’s Salary Based on Statistics from the Game Using Linear Regression
SN - 978-989-758-690-3
AU - Cao M.
PY - 2024
SP - 476
EP - 480
DO - 10.5220/0012823900004547
PB - SciTePress