Evaluation of Major League Baseball Offensive Statistics Underscores Shohei Ohtani's Exceptional Batting Performance
Guardado en:
| Publicado en: | IAENG International Journal of Applied Mathematics vol. 55, no. 7 (Jul 2025), p. 1921-1926 |
|---|---|
| Autor principal: | |
| Otros Autores: | , , , |
| Publicado: |
International Association of Engineers
|
| Materias: | |
| Acceso en línea: | Citation/Abstract Full Text Full Text - PDF |
| Etiquetas: |
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
MARC
| LEADER | 00000nab a2200000uu 4500 | ||
|---|---|---|---|
| 001 | 3248728347 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 1992-9978 | ||
| 022 | |a 1992-9986 | ||
| 035 | |a 3248728347 | ||
| 045 | 2 | |b d20250701 |b d20250731 | |
| 100 | 1 | |a Endo, Noriaki |u Professor in the Department of Sports Intelligence and Mass Media, Faculty of Sports Science, Sendai University, Shibata, Miyagi Prefecture, Japan | |
| 245 | 1 | |a Evaluation of Major League Baseball Offensive Statistics Underscores Shohei Ohtani's Exceptional Batting Performance | |
| 260 | |b International Association of Engineers |c Jul 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a 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. | |
| 610 | 4 | |a Yahoo Japan Major League Baseball | |
| 653 | |a Software | ||
| 653 | |a Principal components analysis | ||
| 653 | |a Performance evaluation | ||
| 653 | |a Computer science | ||
| 653 | |a Players | ||
| 653 | |a Professional baseball | ||
| 653 | |a Baseball | ||
| 653 | |a Classification | ||
| 653 | |a Feature selection | ||
| 653 | |a Statistical analysis | ||
| 700 | 1 | |a Iaeng | |
| 700 | 1 | |a Yamaguchi, Yasumasa |u Assistant professor in the Department of Sports Intelligence and Mass Media, Faculty of Sports Science, Sendai University, Shibata, Miyagi Prefecture, Japan | |
| 700 | 1 | |a Uchino, Hidetaka |u Associate professor in the Department of Sports Intelligence and Mass Media, Faculty of Sports Science, Sendai University, Shibata, Miyagi Prefecture, Japan | |
| 700 | 1 | |a Hashimoto, Chiaki |u Associate professor in the Department of Sports Intelligence and Mass Media, Faculty of Sports Science, Sendai University, Shibata, Miyagi Prefecture, Japan | |
| 773 | 0 | |t IAENG International Journal of Applied Mathematics |g vol. 55, no. 7 (Jul 2025), p. 1921-1926 | |
| 786 | 0 | |d ProQuest |t Computer Science Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3248728347/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text |u https://www.proquest.com/docview/3248728347/fulltext/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3248728347/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch |