한국 프로야구 타자의 경기력요인 분석

Abstract

Modern baseball is a popular sport in many countries. Thus, numerous records are produced and accumulated data are analyzed by a variety of methods. The purpose of this study is to analyze performance of professional Korean baseball batters. The data were collected from official records issued by KBO(Korea Baseball Organization), and composed of the records of professional Korean Baseball 307 batters from 2008 to 2014. To analysis of the data was used 13 sabermetrics indexes. It’s OPS, GPA, SECA, TA, RC, RC/27, XR, BR, ISO, PSN, wOBA, OW%, BABIP. As for its analysis method, descriptive statistics, correlation analysis, cluster analysis, principle component regression analysis were done by using SPSS Windows ver. 18.0. RC, XR, BR showed a large deviation as compared with other indexes. PSN, BABIP has a low correlation with other indexes and no different between cluster. According to principle component regression analysis, slugging percentage showed a lot of influence on the performances of the batters.