Adjusting Winning-Percentage Standard Deviations and a Measure of Competitive Balance for Home Advantage
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One measure of sports league competitive balance uses a ratio: the standard deviation of team winning percentages is divided by the so-called ideal standard deviation, which assumes a game between evenly-skilled teams is equally likely to be won by either team. In fact, a team is more likely to win when playing at home than when playing on the road. The extent of this advantage differs across sports leagues. Home advantage reduces the variability of season-long team records. Ignoring home advantage biases upward the traditionally measured ideal standard deviation and bias downward the ratio of standard deviations. The authors derive a balanced league standard deviation formula that accounts for home advantage, use it to recompute the ratio of standard deviations for major sports leagues, and consider how the adjustment affects comparisons of competitive balance across those leagues.
©2011 Walter de Gruyter GmbH & Co. KG, Berlin/Boston
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- Having the Second Leg at Home - Advantage in the UEFA Champions League Knockout Phase?
- Study of the Technical and Tactical Variables Determining Set Win or Loss in Top-Level European Men's Volleyball
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Articles in the same Issue
- Article
- Adjusting Winning-Percentage Standard Deviations and a Measure of Competitive Balance for Home Advantage
- Comparing Team Performance of the English Premier League, Serie A, and La Liga for the 2008-2009 Season
- Optimal Targets for the Bank Shot in Men's Basketball
- Model Averaging in Factor Analysis: An Analysis of Olympic Decathlon Data
- How to Catch a Tiger: Understanding Putting Performance on the PGA TOUR
- Having the Second Leg at Home - Advantage in the UEFA Champions League Knockout Phase?
- Study of the Technical and Tactical Variables Determining Set Win or Loss in Top-Level European Men's Volleyball
- Socioeconomic Predictors of the 2010 FIFA World Cup
- Yellow Cards: Do They Matter?
- The ISOPAR Method: A New Approach to Performance Analysis in Golf