Journal of the Korean Data and Information Science Society

The Korean Data and Information Science Society (한국데이터정보과학회)
권호 표지
DOI QR코드

DOI QR Code

Estimation of FIP coefficient in Korea professional baseball

한국프로야구에서 FIP 계수의 추정

  • Lee, Jangtaek (Department of Applied Statistics, Dankook University)
  • Received : 2017.03.01
  • Accepted : 2017.03.27
  • Published : 2017.05.31
Download PDF
⟨ Previous Next ⟩

Abstract

Fielding Independent Pitching (FIP) is a statistic that measure pitcher performance by eliminating plate appearance outcomes that involve defensive play. FIP uses pitcher dependent outcomes such that walks, strikeouts, hit by pitches, and home runs allowed. The FIP equation derived from linear weights uses three coefficients 13, 3, -2 for evaluating Major League Baseball pitchers. However, these coefficients derived from run value of major league baseball are not suitable to Korea Baseball Organization pitchers due to baseball circumstances. In this study, new FIP called kFIP for Korea Baseball Organization pitchers are provided. We recalculate coefficients and get 14, 3, -1 for evaluating Korean Baseball pitchers. As a result, kFIP is statistically significantly better than FIP at predicting pitcher ERA in KBO League.

수비무관 평균자책점 (FIP)는 운과 수비력을 제외한 투수가 가진 고유의 능력만을 평가하는 지표로 야구팬들에게 매우 지지도가 높다. 미국 메이저리그 야구에서는 홈런, 볼넷, 삼진, 사구만을 이용하여 계산하는 FIP의 계수를 13, 3, -2로 사용한다. 그러나 메이저리그 야구의 득점가치를 바탕으로 정해진 계수들을 한국 프로야구에 접목시키면 팀이나 선수들의 평가가 적절하지 않을 수 있다. 본 연구에서는 한국프로야구에 적합한 FIP의 계수를 제안하고 평균자책점 (ERA)과의 연관성을 살펴본다. 그 결과 제안된 방법 kFIP는 한국프로야구에서 기존의 FIP에 비해 통계적으로 매우 유의하게 평균자책점에 대한 연관성을 높일 수 있었다.

Keywords

References

  1. Cho, D. H. (2016). The winning probability in Korean series of Korean professional baseball. Journal of the Korean Data & Information Science Society, 27, 663-676. https://doi.org/10.7465/jkdi.2016.27.3.663
  2. Flanagan, J. (2014). Improving the FIP model, Degree of bachelor of science, Worcester Polytechnic Institute, USA.
  3. Hong, C. S., Kim, J. Y. and Shin, D. S. (2016). Alternative hitting ability index for KBO. Journal of the Korean Data & Information Science Society, 27, 677-687. https://doi.org/10.7465/jkdi.2016.27.3.677
  4. Kim, H. J. (2012). Effects of on-base and slugging ability on run productivity in Korean professional baseball. Journal of the Korean Data & Information Science Society, 23, 1065-1074. https://doi.org/10.7465/jkdi.2012.23.6.1065
  5. Kim, S. K. and Lee, Y. H. (2016). The estimation of winning rate in Korean professional baseball league. Journal of the Korean Data & information Science Society, 27, 653-661. https://doi.org/10.7465/jkdi.2016.27.3.653
  6. Lee, J. T. (2014a). Pitching grade index in Korean pro-baseball. Journal of the Korean Data & Information Science Society, 25, 485-492. https://doi.org/10.7465/jkdi.2014.25.3.485
  7. Lee, J. T. (2014b). Measurements for hitting ability in the Korean pro- baseball. Journal of the Korean Data & Information Science Society, 25, 349?356. https://doi.org/10.7465/jkdi.2014.25.2.349
  8. Lee, J. T. (2014c). Estimation of OBP coefficient in Korean professional baseball. Journal of the Korean Data & Information Science Society, 25, 357?363. https://doi.org/10.7465/jkdi.2014.25.2.357
  9. McCracken, V. (2001). Pitching and defense: How much control do hurlers have?, http://www.baseballpro spectus.com/article.php?articleid=878.
  10. Palmer, P. and Thorn, T. (1985). The hidden game of baseball , MA: Doubleday, Boston.
  11. Tango, T. M., Lichtman, M. G. and Dolphin, A. E. (2007). The book: playing the the percentages in baseball , Potomac Books, Washington, DC.