Using Simulation to Estimate the Impact of Baserunning Ability in Baseball

Baumer Ben S
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Baumer Ben S: CUNY Graduate School and University Center

Journal of Quantitative Analysis in Sports, 2009, vol. 5, issue 2, 18

Abstract: In baseball, an offensive team's run scoring ability is dependent not only upon the batting skills of its players, but also their baserunning abilities. Using a Monte Carlo simulation based on actual statistics of real players, we estimate the magnitude of the effect of baserunning skills upon a team's run scoring ability. Our results largely confirm previous non-academic estimates that the impact of baserunning upon a team's run scoring ability is typically less than ±25 runs per season. However, we show using simple heuristic algorithms, that a team composed of the best (worst) nine baserunners could gain (lose) as many as 70 (55), runs per season due to baserunning.

Keywords: baseball; baserunning; simulation; Monte Carlo; sports (search for similar items in EconPapers)
Date: 2009
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Citations: View citations in EconPapers (2)

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DOI: 10.2202/1559-0410.1174

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