Using Machine Learning Models to Predict Win Rate of NBA Teams

NBA is the biggest sports organizations, the behavior of teams and the players in the teams have a big influence on the economic developments. When selecting different players for the team, the coach needs to consider about the data and the thorough behavior of players. Big data and machine learning provide this question a more precise and proper solutions. In this paper, a forecasting method of player’s influence on team’s winning rate based on technical statistics of players. Experiment shows that the proposed method is effective.

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Publication Details

Journal
Highlights in Science Engineering and Technology
Published
2024-12-15
DOI
https://doi.org/10.54097/n8pqf467
Primary Topic
Sports Analytics and Performance
Type
article
Field-Weighted Citation Impact
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article

Using Machine Learning Models to Predict Win Rate of NBA Teams

Jieyu Han
Highlights in Science Engineering and Technology
Sports Analytics and Performance
article

Using Machine Learning Models to Predict Win Rate of NBA Teams

Jieyu Han
article en

Abstract

NBA is the biggest sports organizations, the behavior of teams and the players in the teams have a big influence on the economic developments. When selecting different players for the team, the coach needs to consider about the data and the thorough behavior of players. Big data and machine learning provide this question a more precise and proper solutions. In this paper, a forecasting method of player’s influence on team’s winning rate based on technical statistics of players. Experiment shows that the proposed method is effective.

Highlights in Science Engineering and TechnologyVol. 122
Renmin University of China (CN)
Openalex Percentile: Top 71%
Sports Analytics and Performance
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Using Machine Learning Models to Predict Win Rate of NBA Teams — Jieyu Han · Highlights in Science Engineering and Technology (2024) | TGRS Research Map | TGRS