Effect of match break, distance travelled, players’ age and time played in high level basketball
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10348/8417 |
Resumo: | The aim of this study was examine the variation of individual performance profiles in basketball, between national and international leagues and examine if the magnitude of this variation is affected by age and playing position. The players’ profiles, including age and playing position were collected from official league websites. A total of 1627 official boxscores from national and international leagues, from 2014-2015 and 2015-2016 seasons, were considered for this study. Besides the traditional notational analysis, we also computed the distance traveled and days of rest between national and international matches. Firstly, was realized a two-step cluster analysis to group the players into different groups. Posteriorly, one-way independent measure ANOVA was used to explore the difference of the within and between the obtained clusters; and finally, a descriptive discriminant analysis was conducted to identify which variables best discriminate the obtained clusters. The results showed that the number of clusters is different between both competitions, revealing a variation in the individual performance profiles. Factors such as distance traveled, time played and players' age, affected the performances in the international competition, however in the national competitions, distance traveled, match break and time played were the variables with a great discriminatory influence. This information can help in the development and optimization of performance specific profiles according with competitions, and can facilitate the detailed planning for specific groups of players and teams, contemplating the performance on the training session and on the game. |
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Effect of match break, distance travelled, players’ age and time played in high level basketballBasquetebolEuroleagueperfis de desempenhoagrupamentosThe aim of this study was examine the variation of individual performance profiles in basketball, between national and international leagues and examine if the magnitude of this variation is affected by age and playing position. The players’ profiles, including age and playing position were collected from official league websites. A total of 1627 official boxscores from national and international leagues, from 2014-2015 and 2015-2016 seasons, were considered for this study. Besides the traditional notational analysis, we also computed the distance traveled and days of rest between national and international matches. Firstly, was realized a two-step cluster analysis to group the players into different groups. Posteriorly, one-way independent measure ANOVA was used to explore the difference of the within and between the obtained clusters; and finally, a descriptive discriminant analysis was conducted to identify which variables best discriminate the obtained clusters. The results showed that the number of clusters is different between both competitions, revealing a variation in the individual performance profiles. Factors such as distance traveled, time played and players' age, affected the performances in the international competition, however in the national competitions, distance traveled, match break and time played were the variables with a great discriminatory influence. This information can help in the development and optimization of performance specific profiles according with competitions, and can facilitate the detailed planning for specific groups of players and teams, contemplating the performance on the training session and on the game.O objetivo deste estudo foi examinar a variação dos perfis de desempenho individuais no basquete, entre as ligas nacionais e internacionais e examinar se a magnitude dessa variação é afetada pela idade e posição de jogo. Os perfis dos jogadores, incluindo idade e posição de jogo, foram coletados dos sites oficiais da liga. Um total de 1627 boletins oficiais das ligas nacionais e internacionais, das épocas 2014-2015 e 2015-2016, foram considerados para este estudo. Além da análise notacional tradicional, calculamos também a distância percorrida e os dias de descanso entre os jogos nacionais e internacionais. Em primeiro lugar, realizou-se uma análise de cluster de dois passos para agrupar os jogadores em diferentes grupos. Posteriormente, uma análise de variância ANOVA foi utilizada para explorar a diferença entre os clusters dos agrupamentos obtidos; e, finalmente, uma análise discriminante descritiva foi conduzida para identificar quais variáveis melhor discriminam os clusters obtidos. Os resultados mostraram que o número de clusters é diferente entre as duas competições, revelando uma variação nos perfis de desempenho individuais. Fatores como a distância percorrida, o tempo jogado e a idade dos jogadores afetaram os desempenhos na competição internacional, no entanto, nas competições nacionais, a distância percorrida, intervalo entre jogos e o tempo jogado foram as variáveis com a maior influência discriminatória. Esta informação pode ajudar no desenvolvimento e otimização de perfis específicos de desempenho, de acordo com as competições e pode facilitar o planeamento detalhado para grupos específicos de jogadores e equipes, contemplando o desempenho na sessão de treinamento e no jogo.2018-04-26T14:45:51Z2018-01-19T00:00:00Z2018-01-19info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10348/8417TID:202325130engTorres, Ivan Jorge Mirandainfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-02-02T12:26:23Zoai:repositorio.utad.pt:10348/8417Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:59:56.126152Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Effect of match break, distance travelled, players’ age and time played in high level basketball |
title |
Effect of match break, distance travelled, players’ age and time played in high level basketball |
spellingShingle |
Effect of match break, distance travelled, players’ age and time played in high level basketball Torres, Ivan Jorge Miranda Basquetebol Euroleague perfis de desempenho agrupamentos |
title_short |
Effect of match break, distance travelled, players’ age and time played in high level basketball |
title_full |
Effect of match break, distance travelled, players’ age and time played in high level basketball |
title_fullStr |
Effect of match break, distance travelled, players’ age and time played in high level basketball |
title_full_unstemmed |
Effect of match break, distance travelled, players’ age and time played in high level basketball |
title_sort |
Effect of match break, distance travelled, players’ age and time played in high level basketball |
author |
Torres, Ivan Jorge Miranda |
author_facet |
Torres, Ivan Jorge Miranda |
author_role |
author |
dc.contributor.author.fl_str_mv |
Torres, Ivan Jorge Miranda |
dc.subject.por.fl_str_mv |
Basquetebol Euroleague perfis de desempenho agrupamentos |
topic |
Basquetebol Euroleague perfis de desempenho agrupamentos |
description |
The aim of this study was examine the variation of individual performance profiles in basketball, between national and international leagues and examine if the magnitude of this variation is affected by age and playing position. The players’ profiles, including age and playing position were collected from official league websites. A total of 1627 official boxscores from national and international leagues, from 2014-2015 and 2015-2016 seasons, were considered for this study. Besides the traditional notational analysis, we also computed the distance traveled and days of rest between national and international matches. Firstly, was realized a two-step cluster analysis to group the players into different groups. Posteriorly, one-way independent measure ANOVA was used to explore the difference of the within and between the obtained clusters; and finally, a descriptive discriminant analysis was conducted to identify which variables best discriminate the obtained clusters. The results showed that the number of clusters is different between both competitions, revealing a variation in the individual performance profiles. Factors such as distance traveled, time played and players' age, affected the performances in the international competition, however in the national competitions, distance traveled, match break and time played were the variables with a great discriminatory influence. This information can help in the development and optimization of performance specific profiles according with competitions, and can facilitate the detailed planning for specific groups of players and teams, contemplating the performance on the training session and on the game. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-04-26T14:45:51Z 2018-01-19T00:00:00Z 2018-01-19 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10348/8417 TID:202325130 |
url |
http://hdl.handle.net/10348/8417 |
identifier_str_mv |
TID:202325130 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799137082840449024 |