Analysis and prediction of competition performance in master swimmers

Detalhes bibliográficos
Autor(a) principal: Louro, Hugo
Data de Publicação: 2021
Outros Autores: Freitas, João Diogo, Borrego, Carla, Cunha, Rui, Marinho, Daniel, Santos, Catarina Costa, Conceição, Ana
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://doi.org/10.6063/motricidade.25521
Resumo: 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. Keywords: Swimming, Results, Efficiency, Groups.
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spelling Analysis and prediction of competition performance in master swimmersAnálise e predição do desmpenho de competição em nadadores masterOriginal ArticleThis 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. Keywords: Swimming, Results, Efficiency, Groups.Os objetivos deste estudo foram quantificar a participação de nadadores master do sexo masculino durante dez temporadas (2008/2009 - 2018/2019) nos nadadores master nacionais e prever os resultados para a temporada 2020/2021 nas provas de 50, 100, 200 e 400m livres. Foram consideradas oito faixas etárias, a saber, A a H com um total de 5368 participantes, nas quatro provas analisadas 50, 100, 200 e 400m livres. O melhor tempo de cada prova foi registado nas faixas etárias seleccionadas que decorreram na última década do Campeonato Nacional de Verão, através do site específico “Swimrakings” (https://www.swimrankings.net/). A equação resultante para o cálculo foi:  y= (–) ax2 – bx + c, sendo y a taxa de aumento ou diminuição no desempenho de natação e a variação de x dependendo do ano de eventos que se pretende estimar para 2021, x = 13. Os resultados mostraram um aumento do número de participações nos grupos de idade (35-49 anos), e para a melhoria da previsão nos resultados em 21 provas para todas as distancias de natação estudadas. Concluindo, é possível verificar que a predição torna-se essencial para a definição de novos objetivos e tendências evolutivas na natação. Palavras-chave: Natação, resultados, eficiência, grupos.Edições Sílabas Didáticas2021-12-28T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttps://doi.org/10.6063/motricidade.25521eng2182-29721646-107XLouro, HugoFreitas, João DiogoBorrego, CarlaCunha, RuiMarinho, DanielSantos, Catarina CostaConceição, Anainfo: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:RCAAP2022-09-05T14:54:56Zoai:ojs.revistas.rcaap.pt:article/25521Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T15:30:17.104163Repositório 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
Análise e predição do desmpenho de competição em nadadores master
title Analysis and prediction of competition performance in master swimmers
spellingShingle Analysis and prediction of competition performance in master swimmers
Louro, Hugo
Original Article
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 Costa
Conceição, Ana
author_role author
author2 Freitas, João Diogo
Borrego, Carla
Cunha, Rui
Marinho, Daniel
Santos, Catarina Costa
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 Costa
Conceição, Ana
dc.subject.por.fl_str_mv Original Article
topic Original Article
description 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. Keywords: Swimming, Results, Efficiency, Groups.
publishDate 2021
dc.date.none.fl_str_mv 2021-12-28T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.uri.fl_str_mv https://doi.org/10.6063/motricidade.25521
url https://doi.org/10.6063/motricidade.25521
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2182-2972
1646-107X
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publisher.none.fl_str_mv Edições Sílabas Didáticas
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instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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