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http://dx.doi.org/10.5351/KJAS.2014.27.5.731

Explanation of Run Productivity Using Weighted Adjusted OPS in Korean Professional Baseball  

Kim, Hyuk Joo (Division of Mathematics & Informational Statistics, Wonkwang University)
Kim, Yea Hyoung (Division of Mathematics & Informational Statistics, Wonkwang University)
Publication Information
The Korean Journal of Applied Statistics / v.27, no.5, 2014 , pp. 731-741 More about this Journal
Abstract
We suggested an adjusted OPS and weighted adjusted OPS as indices to explain run productivity of teams using the slugging average and adjusted OBP from Korean professional baseball. First, we defined adjusted OBP by modifying currently used OBP. Next, we defined adjusted OPS as the sum of adjusted OBP and slugging average. We also defined weighted adjusted OPS as the weighted average of adjusted OBP and slugging average. Analysis of the data from all games in the regular seasons from 1982~2013 shows that adjusted OPS better explains runs than OPS. For 25 seasons out of 32 seasons, adjusted OPS explains runs better than OPS. Further, weighted adjusted OPS consisting of adjusted OBP (with weight 60%) and slugging average (with weight 40%) gives the best explanation of run productivity. Weighted adjusted OPS has been found to explain run productivity better than weighted OPS proposed in Kim (2012).
Keywords
Adjusted OBP; adjusted OPS; weighted adjusted OPS; run; correlation coefficient;
Citations & Related Records
Times Cited By KSCI : 7  (Citation Analysis)
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