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

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書誌詳細
出版年:	IAENG International Journal of Applied Mathematics vol. 55, no. 7 (Jul 2025), p. 1921-1926
第一著者:	Endo, Noriaki
その他の著者:	Iaeng, Yamaguchi, Yasumasa, Uchino, Hidetaka, Hashimoto, Chiaki
出版事項:	International Association of Engineers
主題:	Yahoo Japan Major League Baseball Software Principal components analysis Performance evaluation Computer science Players Professional baseball Baseball Classification Feature selection Statistical analysis
オンライン･アクセス:	Citation/Abstract Full Text Full Text - PDF
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その他の書誌記述
抄録:	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
ソース:	Computer Science Database