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Using Simulation to Estimate the Impact of Baserunning Ability in Baseball
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Ben S Baumer
Veröffentlicht/Copyright:
1. Mai 2009
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.
Published Online: 2009-5-1
©2011 Walter de Gruyter GmbH & Co. KG, Berlin/Boston
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Artikel in diesem Heft
- Conference Paper
- A Statistical Analysis of NFL Quarterback Rating Variables
- Optimizing Football Game Play Calling
- Assessing Methods for College Football Rankings
- Chasing DiMaggio: Streaks in Simulated Seasons Using Non-Constant At-Bats
- Modeling Baseball Player Ability with a Nested Dirichlet Distribution
- `If the Team Doesn't Win, Nobody Wins:' A Team-Level Analysis of Pay and Performance Relationships in Major League Baseball
- Keeping the Hitter Off Balance: Mixed Strategies in Baseball
- Using Simulation to Estimate the Impact of Baserunning Ability in Baseball
- A New Handicapping System for Golf
- Scramble Teams for the Pinehurst Terrapin Classic
- Pythagoras and the National Hockey League
