Analysis and prediction of competition performance in master swimmers
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://scielo.pt/scielo.php?script=sci_arttext&pid=S1646-107X2021000400391 |
Resumo: | ABSTRACT This study aimed to quantify the participation of male master swimmers during ten seasons (2008/2009 – 2018/2019) in the national master swimmers and predict the results for the 2020/2021 season in the events of 50 100, 200 and 400 m freestyle. Eight age groups were considered, namely, A to H with a total of 5,368 participants, in the four events analysed 50, 100, 200 and 400 m freestyle. The best time of each race was recorded in the selected age groups that took place in the last decade of the National Summer Championship, through the specific website “Swimrakings” (https://www.swimrankings.net/). The resulting equation for the calculation was y= (–) ax2 – bx + c, y being the rate of increase or decrease in swimming performance and the x variation depending on the year of events that one intends to estimate for 2021, x= 13. The results showed an increase in the number of participations in middle age groups (35-49 years) and a prediction of improvements in the results of 21 events for all the swimming races studied. In conclusion, we can verify that prediction becomes essential for the definition of new objectives and evolutionary trends in swimming. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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7160 |
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Analysis and prediction of competition performance in master swimmersSwimmingResultsEfficiencyGroupsABSTRACT This study aimed to quantify the participation of male master swimmers during ten seasons (2008/2009 – 2018/2019) in the national master swimmers and predict the results for the 2020/2021 season in the events of 50 100, 200 and 400 m freestyle. Eight age groups were considered, namely, A to H with a total of 5,368 participants, in the four events analysed 50, 100, 200 and 400 m freestyle. The best time of each race was recorded in the selected age groups that took place in the last decade of the National Summer Championship, through the specific website “Swimrakings” (https://www.swimrankings.net/). The resulting equation for the calculation was y= (–) ax2 – bx + c, y being the rate of increase or decrease in swimming performance and the x variation depending on the year of events that one intends to estimate for 2021, x= 13. The results showed an increase in the number of participations in middle age groups (35-49 years) and a prediction of improvements in the results of 21 events for all the swimming races studied. In conclusion, we can verify that prediction becomes essential for the definition of new objectives and evolutionary trends in swimming.Edições Desafio Singular2021-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articletext/htmlhttp://scielo.pt/scielo.php?script=sci_arttext&pid=S1646-107X2021000400391Motricidade v.17 n.4 2021reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAPenghttp://scielo.pt/scielo.php?script=sci_arttext&pid=S1646-107X2021000400391Louro,HugoFreitas,João DiogoBorrego,CarlaCunha,RuiMarinho,DanielSantos,CatarinaConceição,Anainfo:eu-repo/semantics/openAccess2024-02-06T17:20:32Zoai:scielo:S1646-107X2021000400391Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:27:52.749299Repositório 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 |
Analysis and prediction of competition performance in master swimmers |
title |
Analysis and prediction of competition performance in master swimmers |
spellingShingle |
Analysis and prediction of competition performance in master swimmers Louro,Hugo Swimming Results Efficiency Groups |
title_short |
Analysis and prediction of competition performance in master swimmers |
title_full |
Analysis and prediction of competition performance in master swimmers |
title_fullStr |
Analysis and prediction of competition performance in master swimmers |
title_full_unstemmed |
Analysis and prediction of competition performance in master swimmers |
title_sort |
Analysis and prediction of competition performance in master swimmers |
author |
Louro,Hugo |
author_facet |
Louro,Hugo Freitas,João Diogo Borrego,Carla Cunha,Rui Marinho,Daniel Santos,Catarina Conceição,Ana |
author_role |
author |
author2 |
Freitas,João Diogo Borrego,Carla Cunha,Rui Marinho,Daniel Santos,Catarina Conceição,Ana |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Louro,Hugo Freitas,João Diogo Borrego,Carla Cunha,Rui Marinho,Daniel Santos,Catarina Conceição,Ana |
dc.subject.por.fl_str_mv |
Swimming Results Efficiency Groups |
topic |
Swimming Results Efficiency Groups |
description |
ABSTRACT This study aimed to quantify the participation of male master swimmers during ten seasons (2008/2009 – 2018/2019) in the national master swimmers and predict the results for the 2020/2021 season in the events of 50 100, 200 and 400 m freestyle. Eight age groups were considered, namely, A to H with a total of 5,368 participants, in the four events analysed 50, 100, 200 and 400 m freestyle. The best time of each race was recorded in the selected age groups that took place in the last decade of the National Summer Championship, through the specific website “Swimrakings” (https://www.swimrankings.net/). The resulting equation for the calculation was y= (–) ax2 – bx + c, y being the rate of increase or decrease in swimming performance and the x variation depending on the year of events that one intends to estimate for 2021, x= 13. The results showed an increase in the number of participations in middle age groups (35-49 years) and a prediction of improvements in the results of 21 events for all the swimming races studied. In conclusion, we can verify that prediction becomes essential for the definition of new objectives and evolutionary trends in swimming. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-12-01 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://scielo.pt/scielo.php?script=sci_arttext&pid=S1646-107X2021000400391 |
url |
http://scielo.pt/scielo.php?script=sci_arttext&pid=S1646-107X2021000400391 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
http://scielo.pt/scielo.php?script=sci_arttext&pid=S1646-107X2021000400391 |
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 |
Edições Desafio Singular |
publisher.none.fl_str_mv |
Edições Desafio Singular |
dc.source.none.fl_str_mv |
Motricidade v.17 n.4 2021 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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1817554471067058176 |