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An Offensive Earned-Run Average for Baseball

Author

Listed:
  • Thomas M. Cover

    (Stanford University, Stanford, California)

  • Carroll W. Keilers

    (Probe Systems, Sunnyvale, California)

Abstract

This paper studies a baseball statistic that plays the role of an offensive earned-run average (OERA). The OERA of an individual is simply the number of earned runs per game that he would score if he batted in all nine positions in the line-up. Evaluation can be performed by hand by scoring the sequence of times at bat of a given batter. This statistic has the obvious natural interpretation and tends to evaluate strictly personal rather than team achievement. Some theoretical properties of this statistic are developed, and we give our answer to the question, “Who is the greatest hitter in baseball history?”

Suggested Citation

  • Thomas M. Cover & Carroll W. Keilers, 1977. "An Offensive Earned-Run Average for Baseball," Operations Research, INFORMS, vol. 25(5), pages 729-740, October.
    • Handle: RePEc:inm:oropre:v:25:y:1977:i:5:p:729-740
    DOI: 10.1287/opre.25.5.729
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    Cited by:

    1. Young Lee, 2011. "Is the small-ball strategy effective in winning games? A stochastic frontier production approach," Journal of Productivity Analysis, Springer, vol. 35(1), pages 51-59, February.
    2. Turocy, Theodore L., 2005. "Offensive performance, omitted variables, and the value of speed in baseball," Economics Letters, Elsevier, vol. 89(3), pages 283-286, December.
    3. Sueyoshi, Toshiyuki & Ohnishi, Kenji & Kinase, Youichi, 1999. "A benchmark approach for baseball evaluation," European Journal of Operational Research, Elsevier, vol. 115(3), pages 429-448, June.

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