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Soccer matches as experiments: how often does the 'best' team win?

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Skinner, G. K. and Freeman, Guy. (2009) Soccer matches as experiments: how often does the 'best' team win? Journal of Applied Statistics, Vol.36 (No.10). pp. 1087-1095. ISSN 0266-4763

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Official URL: http://dx.doi.org/10.1080/02664760802715922

Abstract

Models in which the number of goals scored by a team in a soccer match follow a Poisson distribution, or a closely related one, have been widely discussed. We here consider a soccer match as an experiment to assess which of two teams is superior and examine the probability that the outcome of the experiment (match) truly represents the relative abilities of the two teams. Given a final score, it is possible by using a Bayesian approach to quantify the probability that it was or was not the case that 'the best team won'. For typical scores, the probability of a misleading result is significant. Modifying the rules of the game to increase the typical number of goals scored would improve the situation, but a level of confidence that would normally be regarded as satisfactory could not be obtained unless the character of the game was radically changed.

Item Type: Journal Article
Subjects: Q Science > QA Mathematics
Divisions: Faculty of Science > Statistics
Journal or Publication Title: Journal of Applied Statistics
Publisher: Routledge
ISSN: 0266-4763
Date: 2009
Volume: Vol.36
Number: No.10
Number of Pages: 9
Page Range: pp. 1087-1095
Identification Number: 10.1080/02664760802715922
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
URI: http://wrap.warwick.ac.uk/id/eprint/17255

Data sourced from Thomson Reuters' Web of Knowledge

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