Performance analysis of professional soccer goalkeepers by Composition of Probabilistic Preferences

Detalhes bibliográficos
Autor(a) principal: Gavião,Luiz Octávio
Data de Publicação: 2021
Outros Autores: Gavião,Erick Vieira, Sant’Anna,Annibal Parracho, Lima,Gilson Brito Alves, Garcia,Pauli Adriano de Almada
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Brasileira de Ciências do Esporte (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-32892021000100217
Resumo: ABSTRACT This research aims to assist managers and technical commissions to choose professional soccer goalkeepers. A sample of 64 goalkeepers playing in Argentina and Brazil was studied. Their performance in the matches of two seasons were analyzed considering three criteria: goals against per minute played, percentage of goals and percentage of matches without conceded goals. The Composition of Probabilistic Preferences (CPP) was the method chosen for modeling, considering the random variability in the problem data and in football, considered one of the most unpredictable sports. CPP allowed to compare the choice based on the data analysis to the latest goalkeeper call-ups for these countries’ national teams. The selected goalkeepers corresponded to those presenting the best individual performance, which confirms the model.
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spelling Performance analysis of professional soccer goalkeepers by Composition of Probabilistic PreferencesSoccerEvaluationGoalkeepersComposition of Probabilistic PreferencesABSTRACT This research aims to assist managers and technical commissions to choose professional soccer goalkeepers. A sample of 64 goalkeepers playing in Argentina and Brazil was studied. Their performance in the matches of two seasons were analyzed considering three criteria: goals against per minute played, percentage of goals and percentage of matches without conceded goals. The Composition of Probabilistic Preferences (CPP) was the method chosen for modeling, considering the random variability in the problem data and in football, considered one of the most unpredictable sports. CPP allowed to compare the choice based on the data analysis to the latest goalkeeper call-ups for these countries’ national teams. The selected goalkeepers corresponded to those presenting the best individual performance, which confirms the model.Colégio Brasileiro de Ciências do Esporte2021-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-32892021000100217Revista Brasileira de Ciências do Esporte v.43 2021reponame:Revista Brasileira de Ciências do Esporte (Online)instname:Colégio Brasileiro de Ciências do Esporte (CBCE)instacron:CBCE10.1590/rbce.43.e011420info:eu-repo/semantics/openAccessGavião,Luiz OctávioGavião,Erick VieiraSant’Anna,Annibal ParrachoLima,Gilson Brito AlvesGarcia,Pauli Adriano de Almadaeng2021-07-16T00:00:00Zoai:scielo:S0101-32892021000100217Revistahttp://www.rbceonline.org.brhttps://old.scielo.br/oai/scielo-oai.phprbceonline@gmail.com||fernandom@unb.br2179-32550101-3289opendoar:2023-01-05T15:22:16.973769Revista Brasileira de Ciências do Esporte (Online) - Colégio Brasileiro de Ciências do Esporte (CBCE)true
dc.title.none.fl_str_mv Performance analysis of professional soccer goalkeepers by Composition of Probabilistic Preferences
title Performance analysis of professional soccer goalkeepers by Composition of Probabilistic Preferences
spellingShingle Performance analysis of professional soccer goalkeepers by Composition of Probabilistic Preferences
Gavião,Luiz Octávio
Soccer
Evaluation
Goalkeepers
Composition of Probabilistic Preferences
title_short Performance analysis of professional soccer goalkeepers by Composition of Probabilistic Preferences
title_full Performance analysis of professional soccer goalkeepers by Composition of Probabilistic Preferences
title_fullStr Performance analysis of professional soccer goalkeepers by Composition of Probabilistic Preferences
title_full_unstemmed Performance analysis of professional soccer goalkeepers by Composition of Probabilistic Preferences
title_sort Performance analysis of professional soccer goalkeepers by Composition of Probabilistic Preferences
author Gavião,Luiz Octávio
author_facet Gavião,Luiz Octávio
Gavião,Erick Vieira
Sant’Anna,Annibal Parracho
Lima,Gilson Brito Alves
Garcia,Pauli Adriano de Almada
author_role author
author2 Gavião,Erick Vieira
Sant’Anna,Annibal Parracho
Lima,Gilson Brito Alves
Garcia,Pauli Adriano de Almada
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Gavião,Luiz Octávio
Gavião,Erick Vieira
Sant’Anna,Annibal Parracho
Lima,Gilson Brito Alves
Garcia,Pauli Adriano de Almada
dc.subject.por.fl_str_mv Soccer
Evaluation
Goalkeepers
Composition of Probabilistic Preferences
topic Soccer
Evaluation
Goalkeepers
Composition of Probabilistic Preferences
description ABSTRACT This research aims to assist managers and technical commissions to choose professional soccer goalkeepers. A sample of 64 goalkeepers playing in Argentina and Brazil was studied. Their performance in the matches of two seasons were analyzed considering three criteria: goals against per minute played, percentage of goals and percentage of matches without conceded goals. The Composition of Probabilistic Preferences (CPP) was the method chosen for modeling, considering the random variability in the problem data and in football, considered one of the most unpredictable sports. CPP allowed to compare the choice based on the data analysis to the latest goalkeeper call-ups for these countries’ national teams. The selected goalkeepers corresponded to those presenting the best individual performance, which confirms the model.
publishDate 2021
dc.date.none.fl_str_mv 2021-01-01
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=S0101-32892021000100217
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-32892021000100217
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/rbce.43.e011420
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 Colégio Brasileiro de Ciências do Esporte
publisher.none.fl_str_mv Colégio Brasileiro de Ciências do Esporte
dc.source.none.fl_str_mv Revista Brasileira de Ciências do Esporte v.43 2021
reponame:Revista Brasileira de Ciências do Esporte (Online)
instname:Colégio Brasileiro de Ciências do Esporte (CBCE)
instacron:CBCE
instname_str Colégio Brasileiro de Ciências do Esporte (CBCE)
instacron_str CBCE
institution CBCE
reponame_str Revista Brasileira de Ciências do Esporte (Online)
collection Revista Brasileira de Ciências do Esporte (Online)
repository.name.fl_str_mv Revista Brasileira de Ciências do Esporte (Online) - Colégio Brasileiro de Ciências do Esporte (CBCE)
repository.mail.fl_str_mv rbceonline@gmail.com||fernandom@unb.br
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