Comparison of Home Advantage in European Football Leagues

Clicks: 294
ID: 113972
2020
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Abstract
Home advantage in sports is important for coaches, players, fans, and commentators and has a key role in sports prediction models. This paper builds on results of recent research that—instead of points gained—used goals scored and goals conceded to describe home advantage. This offers more detailed look at this phenomenon. Presented description understands a home advantage in leagues as a random variable that can be described by a trinomial distribution. The paper uses this description to offer new ways of home advantage comparison—based on the Jeffrey divergence and the test for homogeneity—in different leagues. Next, a heuristic procedure—based on distances between probability descriptions of home advantage in leagues—is developed for identification of leagues with similar home advantage. Publicly available data are used for demonstration of presented procedures in 19 European football leagues between the 2007/2008 and 2016/2017 seasons, and for individual teams of one league in one season. Overall, the highest home advantage rate was identified in the highest Greek football league, and the lowest was identified in the fourth level English football league.
Reference Key
marek2020riskscomparison Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Patrice Marek;František Vávra;Marek, Patrice;Vávra, František;
Journal risks
Year 2020
DOI
10.3390/risks8030087
URL
https://www.mdpi.com/2227-9091/8/3/87
Keywords
football performance analysis home advantage jeffrey divergence comparison test for homogeneity of parallel samples

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