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  • 标题:Predicting Match Outcomes in the English Premier League: Which Will Be the Final Rank?
  • 本地全文:下载
  • 作者:Francisco Louzada ; Adriano K. Suzuki ; Luis E. B. Salasa
  • 期刊名称:Journal of Data Science
  • 印刷版ISSN:1680-743X
  • 电子版ISSN:1683-8602
  • 出版年度:2014
  • 卷号:12
  • 期号:2
  • 页码:235-254
  • 出版社:Tingmao Publish Company
  • 摘要:In any sport competition, there is a strong interest in knowingwhich team shall be the champion at the end of the championship. Besidesthis, the end result of a match, the chance of a team to be quali ed fora speci c tournament, the chance of being relegated, the best attack, thebest defense, among others, are also subject of interest. In this paper wepresent a simple method with good predictive quality, easy implementation,low computational e ort, which allows the calculation of all the interestingquantities above. Following Lee (1997), we estimate the average goals scoredby each team by assuming that the number of goals scored by a team ina match follows a univariate Poisson distribution but we consider linearmodels that express the sum and the di erence of goals scored in terms of ve covariates: the goal average in a match, the home-team advantage, theteam's o ensive power, the opponent team's defensive power and a crisisindicator. The methodology is applied to the 2008-2009 English PremierLeague.
  • 关键词:Linear Model; Premier Football League; Simulation; Poisson;Distribution.
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