Decision tree modeling for football game prediction

Detalhes bibliográficos
Autor(a) principal: Silva, Adenilson Borba Lopes
Data de Publicação: 2020
Outros Autores: Barros, Klebe Napoleão Nunes de Oliveira, Albuquerque, Mácio Augusto
Tipo de documento: Artigo
Idioma: por
Título da fonte: Research, Society and Development
Texto Completo: https://rsdjournal.org/index.php/rsd/article/view/6869
Resumo: After technological advances, data analysis for sports purposes has become of fundamental importance for tactical evolution and obtaining good results. In football, the use of these analyzes has been growing and bringing numerous benefits, both for the tactical development, as well as in the physical part of the athletes. In addition to tactical and technical collaboration for football, statistics are also widely used in predictions, ranging from a penalty kick to the final result of the game. The objective of this work is to find a model for predicting the results of soccer matches. Mandante (Mandante Team wins) Draw or Visitor (Visiting Team wins) using the Decision Tree method, where, after modeling the data and analyzing the accuracy of the model, which house would be more profitable was analyzed.
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spelling Decision tree modeling for football game predictionModelo de árbol de decisión para la predicción de juegos de fútbolModelagem via árvore de decisão para previsão de jogos de futebolFutebolCasa de apostasEstatísticaÁrvore de decisão.SoccerBookmakersStatisticDecision tree.FútbolCorredor de apuestasEstadísticaÁrbol de decisión.After technological advances, data analysis for sports purposes has become of fundamental importance for tactical evolution and obtaining good results. In football, the use of these analyzes has been growing and bringing numerous benefits, both for the tactical development, as well as in the physical part of the athletes. In addition to tactical and technical collaboration for football, statistics are also widely used in predictions, ranging from a penalty kick to the final result of the game. The objective of this work is to find a model for predicting the results of soccer matches. Mandante (Mandante Team wins) Draw or Visitor (Visiting Team wins) using the Decision Tree method, where, after modeling the data and analyzing the accuracy of the model, which house would be more profitable was analyzed.Después de los avances tecnológicos, el análisis de datos para fines deportivos se ha convertido en una importancia fundamental para la evolución táctica y la obtención de buenos resultados. En el fútbol, ​​el uso de estos análisis ha ido creciendo y trayendo numerosos beneficios, tanto para el desarrollo táctico como para la parte física de los atletas. Además de la colaboración táctica y técnica para el fútbol, ​​las estadísticas también se usan ampliamente en las predicciones, que van desde un tiro penal hasta el resultado final del juego. El objetivo de este trabajo es encontrar un modelo para predecir los resultados de los partidos de fútbol. Mandante (gana el equipo Mandante) Empate o visitante (gana el equipo visitante) utilizando el método del árbol de decisión, donde, después de modelar los datos y analizar la precisión del modelo, se analizó qué casa sería más rentable.Após avanço tecnológico a análise de dados voltada para fins esportivos se tornou de fundamental importância para evolução tática e obtenção de bons resultados. No futebol, a utilização dessas análises vem crescendo e trazendo inúmeros benefícios, tanto para o desenvolvimento tático, quanto na parte física dos atletas. Além da colaboração tática e técnica para o futebol, a estatística também é bastante utilizada em previsões, que abrange desde uma cobrança de pênalti até o resultado final do jogo. O Objetivo deste trabalho é encontrar um modelo para previsão de resultados de partidas de futebol. Mandante (Time Mandante sair vencedor) Empate ou Visitante (Time Visitante sair vencedor) usando o método de Árvore de decisão, onde, após modelagem dos dados e análise da precisão do modelo foi analisada qual casa seria mais rentável.Research, Society and Development2020-08-16info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/686910.33448/rsd-v9i9.6869Research, Society and Development; Vol. 9 No. 9; e204996869Research, Society and Development; Vol. 9 Núm. 9; e204996869Research, Society and Development; v. 9 n. 9; e2049968692525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/6869/6338Copyright (c) 2020 Mácio Augusto Albuquerque, Klebe Napoleão N. Oliveira Barroshttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessSilva, Adenilson Borba LopesBarros, Klebe Napoleão Nunes de OliveiraAlbuquerque, Mácio Augusto2020-09-18T01:42:11Zoai:ojs.pkp.sfu.ca:article/6869Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:29:49.572985Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false
dc.title.none.fl_str_mv Decision tree modeling for football game prediction
Modelo de árbol de decisión para la predicción de juegos de fútbol
Modelagem via árvore de decisão para previsão de jogos de futebol
title Decision tree modeling for football game prediction
spellingShingle Decision tree modeling for football game prediction
Silva, Adenilson Borba Lopes
Futebol
Casa de apostas
Estatística
Árvore de decisão.
Soccer
Bookmakers
Statistic
Decision tree.
Fútbol
Corredor de apuestas
Estadística
Árbol de decisión.
title_short Decision tree modeling for football game prediction
title_full Decision tree modeling for football game prediction
title_fullStr Decision tree modeling for football game prediction
title_full_unstemmed Decision tree modeling for football game prediction
title_sort Decision tree modeling for football game prediction
author Silva, Adenilson Borba Lopes
author_facet Silva, Adenilson Borba Lopes
Barros, Klebe Napoleão Nunes de Oliveira
Albuquerque, Mácio Augusto
author_role author
author2 Barros, Klebe Napoleão Nunes de Oliveira
Albuquerque, Mácio Augusto
author2_role author
author
dc.contributor.author.fl_str_mv Silva, Adenilson Borba Lopes
Barros, Klebe Napoleão Nunes de Oliveira
Albuquerque, Mácio Augusto
dc.subject.por.fl_str_mv Futebol
Casa de apostas
Estatística
Árvore de decisão.
Soccer
Bookmakers
Statistic
Decision tree.
Fútbol
Corredor de apuestas
Estadística
Árbol de decisión.
topic Futebol
Casa de apostas
Estatística
Árvore de decisão.
Soccer
Bookmakers
Statistic
Decision tree.
Fútbol
Corredor de apuestas
Estadística
Árbol de decisión.
description After technological advances, data analysis for sports purposes has become of fundamental importance for tactical evolution and obtaining good results. In football, the use of these analyzes has been growing and bringing numerous benefits, both for the tactical development, as well as in the physical part of the athletes. In addition to tactical and technical collaboration for football, statistics are also widely used in predictions, ranging from a penalty kick to the final result of the game. The objective of this work is to find a model for predicting the results of soccer matches. Mandante (Mandante Team wins) Draw or Visitor (Visiting Team wins) using the Decision Tree method, where, after modeling the data and analyzing the accuracy of the model, which house would be more profitable was analyzed.
publishDate 2020
dc.date.none.fl_str_mv 2020-08-16
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/6869
10.33448/rsd-v9i9.6869
url https://rsdjournal.org/index.php/rsd/article/view/6869
identifier_str_mv 10.33448/rsd-v9i9.6869
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/6869/6338
dc.rights.driver.fl_str_mv Copyright (c) 2020 Mácio Augusto Albuquerque, Klebe Napoleão N. Oliveira Barros
http://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2020 Mácio Augusto Albuquerque, Klebe Napoleão N. Oliveira Barros
http://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Research, Society and Development
publisher.none.fl_str_mv Research, Society and Development
dc.source.none.fl_str_mv Research, Society and Development; Vol. 9 No. 9; e204996869
Research, Society and Development; Vol. 9 Núm. 9; e204996869
Research, Society and Development; v. 9 n. 9; e204996869
2525-3409
reponame:Research, Society and Development
instname:Universidade Federal de Itajubá (UNIFEI)
instacron:UNIFEI
instname_str Universidade Federal de Itajubá (UNIFEI)
instacron_str UNIFEI
institution UNIFEI
reponame_str Research, Society and Development
collection Research, Society and Development
repository.name.fl_str_mv Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)
repository.mail.fl_str_mv rsd.articles@gmail.com
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