`If the Team Doesn't Win, Nobody Wins:' A Team-Level Analysis of Pay and Performance Relationships in Major League Baseball
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Nicholas S Miceli
This analysis of team-level major league baseball performance, for the 1985 through 2001 seasons, addresses four questions: (1) 'Is there a relationship between winning and performance?' (2) 'Is there a relationship between pay and performance?' (3) 'Is there a relationship between winning and pay?' and (4) 'Is there interaction between batting and pitching?' The findings are that: (1) the relationship between performance and winning is significant. Pitching explains 2/3 of the variance, with batting covering the other 1/3; (2) the pay and performance relationship is significant, but the practical importance of the relationships is low, because non-performance factors exert stronger influence on pay levels; (3) the pay and winning relationship is significant, but becomes non-significant when performance variables are used to predict winning; and (4) the batting and pitching interaction is significant, but weak, with limited effects. This type of analysis should help teams be managed more effectively than may presently be the case.
©2011 Walter de Gruyter GmbH & Co. KG, Berlin/Boston
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- 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
Articles in the same Issue
- 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