Logit models for the probability of winning football games

Detalhes bibliográficos
Autor(a) principal: Alves,Alessandro Martins
Data de Publicação: 2011
Outros Autores: Mello,João Carlos Correia Baptista Soares de, Ramos,Thiago Graça, Sant'Anna,Annibal Parracho
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Pesquisa operacional (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382011000300003
Resumo: Two ordinal logit models are applied to fit the results of matches in the Brazilian football championship. As explanatory variables are employed measures of previous performance of the teamsalong all preceding games, along recent games and when playing at home and as a visitor. The results of the models adjustment are employed in simulations performed to forecast the number of points to be earnedin the following games and to anticipate the teams' final classification.
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spelling Logit models for the probability of winning football gamesordinal logit modelsimulationpredictionfootballTwo ordinal logit models are applied to fit the results of matches in the Brazilian football championship. As explanatory variables are employed measures of previous performance of the teamsalong all preceding games, along recent games and when playing at home and as a visitor. The results of the models adjustment are employed in simulations performed to forecast the number of points to be earnedin the following games and to anticipate the teams' final classification.Sociedade Brasileira de Pesquisa Operacional2011-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382011000300003Pesquisa Operacional v.31 n.3 2011reponame:Pesquisa operacional (Online)instname:Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)instacron:SOBRAPO10.1590/S0101-74382011000300003info:eu-repo/semantics/openAccessAlves,Alessandro MartinsMello,João Carlos Correia Baptista Soares deRamos,Thiago GraçaSant'Anna,Annibal Parrachoeng2011-11-03T00:00:00Zoai:scielo:S0101-74382011000300003Revistahttp://www.scielo.br/popehttps://old.scielo.br/oai/scielo-oai.php||sobrapo@sobrapo.org.br1678-51420101-7438opendoar:2011-11-03T00:00Pesquisa operacional (Online) - Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)false
dc.title.none.fl_str_mv Logit models for the probability of winning football games
title Logit models for the probability of winning football games
spellingShingle Logit models for the probability of winning football games
Alves,Alessandro Martins
ordinal logit model
simulation
prediction
football
title_short Logit models for the probability of winning football games
title_full Logit models for the probability of winning football games
title_fullStr Logit models for the probability of winning football games
title_full_unstemmed Logit models for the probability of winning football games
title_sort Logit models for the probability of winning football games
author Alves,Alessandro Martins
author_facet Alves,Alessandro Martins
Mello,João Carlos Correia Baptista Soares de
Ramos,Thiago Graça
Sant'Anna,Annibal Parracho
author_role author
author2 Mello,João Carlos Correia Baptista Soares de
Ramos,Thiago Graça
Sant'Anna,Annibal Parracho
author2_role author
author
author
dc.contributor.author.fl_str_mv Alves,Alessandro Martins
Mello,João Carlos Correia Baptista Soares de
Ramos,Thiago Graça
Sant'Anna,Annibal Parracho
dc.subject.por.fl_str_mv ordinal logit model
simulation
prediction
football
topic ordinal logit model
simulation
prediction
football
description Two ordinal logit models are applied to fit the results of matches in the Brazilian football championship. As explanatory variables are employed measures of previous performance of the teamsalong all preceding games, along recent games and when playing at home and as a visitor. The results of the models adjustment are employed in simulations performed to forecast the number of points to be earnedin the following games and to anticipate the teams' final classification.
publishDate 2011
dc.date.none.fl_str_mv 2011-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382011000300003
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382011000300003
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0101-74382011000300003
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Pesquisa Operacional
publisher.none.fl_str_mv Sociedade Brasileira de Pesquisa Operacional
dc.source.none.fl_str_mv Pesquisa Operacional v.31 n.3 2011
reponame:Pesquisa operacional (Online)
instname:Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)
instacron:SOBRAPO
instname_str Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)
instacron_str SOBRAPO
institution SOBRAPO
reponame_str Pesquisa operacional (Online)
collection Pesquisa operacional (Online)
repository.name.fl_str_mv Pesquisa operacional (Online) - Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)
repository.mail.fl_str_mv ||sobrapo@sobrapo.org.br
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