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Evaluation of Major League Baseball Offensive Statistics Underscores Shohei Ohtani's Exceptional Batting Performance

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Pubblicato in:IAENG International Journal of Applied Mathematics vol. 55, no. 7 (Jul 2025), p. 1921-1926
Autore principale: Endo, Noriaki
Altri autori: Iaeng, Yamaguchi, Yasumasa, Uchino, Hidetaka, Hashimoto, Chiaki
Pubblicazione:
International Association of Engineers
Soggetti:
Yahoo Japan Major League Baseball
Software
Principal components analysis
Performance evaluation
Computer science
Players
Professional baseball
Baseball
Classification
Feature selection
Statistical analysis
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Abstract:Abstract-This study aims to objectively evaluate the offensive performance of Major League Baseball players. We analyzed offensive statistics for the 2023 season, focusing on the top 30 players in the American League by batting average. Principal component analysis was conducted to reduce the number of parameters and summarize key aspects of batting performance. The first and second principal components effectively captured players' overall abilities. Scatter plots of these components also clearly illustrated distinct player characteristics. Notably, Shohei Ohtani's scores differed markedly from those of other players, indicating his exceptional performance even when assessed solely on 2023 batting data.
ISSN:1992-9978
1992-9986
Fonte:Computer Science Database