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Top batter select through the BAI in 2016 KBO -Focusing on the sabermetrics statistics WAR
Journal of the Korean Data & Information Science Society 2017;28:1501-9
Published online November 30, 2017
© 2017 Korean Data & Information Science Society.

Hyeon-Gyu Kim1 · Jea-Young Lee2 · Gyu-Tae Cho3

12Department of Statistics, Yeungnam University
3Department of Civil Engineering, Yeungnam University
Correspondence to: Gyu-Tae Cho
Professor, Department of Civil Engineering, Yeungnam University, Kyungsan 38541, Korea. E-mail:
Received September 15, 2017; Revised November 1, 2017; Accepted November 14, 2017.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Wins above replacement (WAR) is the most commonly used statistics of the sabermetrics that measure baseball players’ abilities. The advantage of a WAR is that it enables to compare performances of players even though they have different roles such as pitcher and hitter. However, WAR is difficult to obtain with common records. Thus, a past studies (Lee and Kim, 2016) suggested the batting ability index to determine the ability of the batter focused on the sabermetrics statistics WAR. In this paper, we selected the best hitter with applying Korea baseball 2016 data based on a proposed model and then observed a total raking of others according to BAI. We are assured that BAI is very excellent statistics through comparing BAI and WAR which is in the spotlight in evaluating performances of players.
Keywords : Principal component regression, sabermatrics, wins above replacement