Journal of the Korean Data and Information Science Society

The Korean Data and Information Science Society (한국데이터정보과학회)
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Estimation of OBP coefficient in Korean professional baseball

한국프로야구에서 출루율 계수의 추정

  • Received : 2014.01.18
  • Accepted : 2014.02.26
  • Published : 2014.03.31
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Abstract

OPS is a sabermetric baseball statistic calculated as the sum of a player's on base percentage (OBP) and slugging percentage (SLG). One of the frequently cited problem with OPS is that OPS gives equal weight to its two components, OBP and SLG. In fact, OBP contributes significantly more to scoring runs than SLG does. This paper provides some exploration into the correct weighting of OBP to SLG when adding the two together. By correlating different coefficients of OBP to runs scored per game, the weighted OPS that weighting OBP 56% in two place more than SLG produced the highest correlation. We found that the weight of OBP increases as RPG increases. Also we suggest the linear regression equation of the best OBP coefficient against RPG.

타자들의 타격능력을 나타내는 OPS를 계산할 때 출루율을 단순하게 장타율과 더한다. 하지만 실제로 출루율에 가중치를 부여하여 계산한 OPS가 게임당 평균득점과 상관관계가 더 커지게 되는데, 본 연구에서는 한국프로야구에 있어서 가장 적합한 가중치를 전체 데이터 및 연대별 데이터를 이용하여 추정하였다. 제안된 가중치는 게임당 평균득점의 영향을 받으며, 가중치와 게임당 득점과의 관계는 회귀직선으로 설명하였다.

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References

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