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Activity Number: 195
Type: Contributed
Date/Time: Monday, July 30, 2012 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistics in Sports
Abstract - #306556
Title: A Modification of OPS: Widely Used to Measure a Baseball Batter's Performance
Author(s): Chulmin Kim*+
Companies: Rochester Institute of Technology
Address: 85 Lomb Memorial Drive, Rochester, NY, 14623, United States
Keywords: regression ; correlation coefficient ; longitudinal data ; baseball statistics
Abstract:

Batting average, home runs, and runs batted in have been the most dominant statistics to measure a baseball batter's performance. Since each of those contains a meaningful interpretation but also some drawback to explain a batter's ability at the same time, often we use those three together. Slugging percentage (SLG) and on-base percentage (OBP) have been used as alternatives of the traditional three statistics. SLG measures how often a batter hits and how valuable the hits are and OBP measures how often a batter reaches bases. Whereas SLG ignores reaching bases by hits by pitched ball or walks, OBP is limited to measure the quality of the hits. A combination of these two is called OPS, the sum of OBP and SLG, which has become more widely used. We introduced a variation of OPS, K, which is a single number explaining not only a batter's hitting performance but also his non-hitting perform


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