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Activity Number: 272
Type: Contributed
Date/Time: Tuesday, August 4, 2009 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistics in Sports
Abstract - #305568
Title: Paired Comparison Models for Ranking National Soccer Teams
Author(s): Andrew W. Swift*+ and Shawn Hallinan
Companies: University of Nebraska at Omaha and IMS Health
Address: , , 68182,
Keywords: Bayesian estimation ; Bradley-Terry ; Paired Comparisons ; Sports ; Rankings
Abstract:

National soccer teams are currently ranked by soccer's governing body, FIFA. Although the system is thorough, taking into account many different factors, many of the weights used in the system's calculations are somewhat arbitrary. It is investigated here how the use of a statistical model might better compare the teams for ranking purposes. By treating each game played as a pair-wise comparison experiment and by using the Bradley-Terry model as a starting point some suitable models are presented. A key component of the final model introduced here its ability to differentiate between types of matches.


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