PageRank approach to ranking national football teams
Journal
arXiv preprint arXiv:1503.01331
Date Issued
2015-04-03
Author(s)
Lazova, Verica
Abstract
The Football World Cup as world’s favorite sporting
event is a source of both entertainment and overwhelming
amount of data about the games played. In this paper we analyse
the available data on football world championships since 1930
until today. Our goal is to rank the national teams based on all
matches during the championships. For this purpose, we apply
the PageRank with restarts algorithm to a graph built from the
games played during the tournaments. Several statistics such as
matches won and goals scored are combined in different metrics
that assign weights to the links in the graph. Finally, our results
indicate that the Random walk approach with the use of right
metrics can indeed produce relevant rankings comparable to the
FIFA official all-time ranking board.
event is a source of both entertainment and overwhelming
amount of data about the games played. In this paper we analyse
the available data on football world championships since 1930
until today. Our goal is to rank the national teams based on all
matches during the championships. For this purpose, we apply
the PageRank with restarts algorithm to a graph built from the
games played during the tournaments. Several statistics such as
matches won and goals scored are combined in different metrics
that assign weights to the links in the graph. Finally, our results
indicate that the Random walk approach with the use of right
metrics can indeed produce relevant rankings comparable to the
FIFA official all-time ranking board.
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