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http://dx.doi.org/10.11627/jksie.2022.45.2.030

A DEA Analysis of the Effect of High Efficient Pitchers on the Team's Advance to the Post Season of the Korean Baseball League  

Kim, Jae-Hong (Graduate School of Management Consulting, Hanyang University)
Hwang, Seung-June (Graduate School of Management Consulting, Hanyang University)
Publication Information
Journal of Korean Society of Industrial and Systems Engineering / v.45, no.2, 2022 , pp. 30-36 More about this Journal
Abstract
This study analyzed the relationship between efficient pitchers and teams advancing to the postseason in Korean professional baseball through DEA. A total of 1,133 pitchers who threw more than one inning from the 2014 season to the 2018 season were selected for this study. For DEA analysis, input variables were selected as annual salary and inning output variables as Wins, Saves, and Holds and the number of efficient pitchers for each season was classified using the input-oriented BCC model. After that, it was divided into two groups based on joining the postseason or not, and the number of efficient pitchers was compared through a prop test. As a result of the analysis, the groups that advanced to the postseason in the rest of the season except for the 2014 and 2017 seasons had more efficient pitchers. Considering that the 2014 season recorded the highest WAR (Wins Above Replacement) at 183.56 compared to other seasons, most pitchers threw well, and in the 2017 season, they made more mistakes in pitching than in other seasons, but they performed well in batters. The results of this study have expanded the research field using efficiency analysis in professional baseball and can be used as useful data for practical research.
Keywords
Data Envelopment Analysis; Korean Baseball League; Post season; Pitcher;
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