Macro and micro network metrics as indicators of training tasks adjustment to players’ tactical level
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.6/12416 |
Resumo: | We aimed to investigate if social networks measures can be used as indicators of training tasks' adjustment level to soccer players’ tactical skills. Twenty-four U17 male soccer players (16.89 ± 0.11 years) participated in this study. The System of Tactical Assessment in Football (FUT-SAT) was used to identify players’ tactical level and to organize them into three groups: Higher tactical level (Group 01), Intermediate tactical level (Group 02) and Lower tactical level (Group 03). Then, the players performed three High difficulty Small-Sided and Conditioned Games (HD-SSCG) and three Low difficulty Small-Sided and Conditioned Games (LD-SSCG). Teams’ interaction patterns and players’ prominence were analysed based on macro (Density – D and Clustering coefficient – CC) and micro networks (Indegree, Outdegree, Total links and Eigenvector) measures. We found that Group 01 presented higher D (p = .004 and ES = 1.189) and CC (p =.004 and ES = .785) at HD-SSCG than Group 03, whereas Group 03 presented higher values of D (p = .003 and ES = 1.200) and CC (p = .037 and ES = 1.180) at LD-SSCG than Group 01. When training tasks difficulty were adjusted to players’ tactical level, teams played more collectively and players were more actively engaged in ball circulation. We concluded that macro and micro networks measures can be applied in training context as indicators of training tasks adjustment to players' tactical level. |
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Macro and micro network metrics as indicators of training tasks adjustment to players’ tactical levelSmall-sided gamesTactical skillsAssociation footballSmall-sided gamesSoccerWe aimed to investigate if social networks measures can be used as indicators of training tasks' adjustment level to soccer players’ tactical skills. Twenty-four U17 male soccer players (16.89 ± 0.11 years) participated in this study. The System of Tactical Assessment in Football (FUT-SAT) was used to identify players’ tactical level and to organize them into three groups: Higher tactical level (Group 01), Intermediate tactical level (Group 02) and Lower tactical level (Group 03). Then, the players performed three High difficulty Small-Sided and Conditioned Games (HD-SSCG) and three Low difficulty Small-Sided and Conditioned Games (LD-SSCG). Teams’ interaction patterns and players’ prominence were analysed based on macro (Density – D and Clustering coefficient – CC) and micro networks (Indegree, Outdegree, Total links and Eigenvector) measures. We found that Group 01 presented higher D (p = .004 and ES = 1.189) and CC (p =.004 and ES = .785) at HD-SSCG than Group 03, whereas Group 03 presented higher values of D (p = .003 and ES = 1.200) and CC (p = .037 and ES = 1.180) at LD-SSCG than Group 01. When training tasks difficulty were adjusted to players’ tactical level, teams played more collectively and players were more actively engaged in ball circulation. We concluded that macro and micro networks measures can be applied in training context as indicators of training tasks adjustment to players' tactical level.The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of thisarticle: This work was supported by the Fundacão de Amparo a Pesquisa do Estado de São Paulo [2017/12142-5].SAGEuBibliorumMachado, João CláudioAquino, RodrigoJúnior, Alberto GóesJúnior, João BoscoBarreira, DanielTravassos, BrunoIbanez, SérgioScaglia, Alcides José2022-11-21T15:48:40Z2020-12-132020-12-13T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.6/12416enginfo: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:RCAAP2023-12-15T09:55:35Zoai:ubibliorum.ubi.pt:10400.6/12416Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:52:01.726737Repositório 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 |
Macro and micro network metrics as indicators of training tasks adjustment to players’ tactical level |
title |
Macro and micro network metrics as indicators of training tasks adjustment to players’ tactical level |
spellingShingle |
Macro and micro network metrics as indicators of training tasks adjustment to players’ tactical level Machado, João Cláudio Small-sided games Tactical skills Association football Small-sided games Soccer |
title_short |
Macro and micro network metrics as indicators of training tasks adjustment to players’ tactical level |
title_full |
Macro and micro network metrics as indicators of training tasks adjustment to players’ tactical level |
title_fullStr |
Macro and micro network metrics as indicators of training tasks adjustment to players’ tactical level |
title_full_unstemmed |
Macro and micro network metrics as indicators of training tasks adjustment to players’ tactical level |
title_sort |
Macro and micro network metrics as indicators of training tasks adjustment to players’ tactical level |
author |
Machado, João Cláudio |
author_facet |
Machado, João Cláudio Aquino, Rodrigo Júnior, Alberto Góes Júnior, João Bosco Barreira, Daniel Travassos, Bruno Ibanez, Sérgio Scaglia, Alcides José |
author_role |
author |
author2 |
Aquino, Rodrigo Júnior, Alberto Góes Júnior, João Bosco Barreira, Daniel Travassos, Bruno Ibanez, Sérgio Scaglia, Alcides José |
author2_role |
author author author author author author author |
dc.contributor.none.fl_str_mv |
uBibliorum |
dc.contributor.author.fl_str_mv |
Machado, João Cláudio Aquino, Rodrigo Júnior, Alberto Góes Júnior, João Bosco Barreira, Daniel Travassos, Bruno Ibanez, Sérgio Scaglia, Alcides José |
dc.subject.por.fl_str_mv |
Small-sided games Tactical skills Association football Small-sided games Soccer |
topic |
Small-sided games Tactical skills Association football Small-sided games Soccer |
description |
We aimed to investigate if social networks measures can be used as indicators of training tasks' adjustment level to soccer players’ tactical skills. Twenty-four U17 male soccer players (16.89 ± 0.11 years) participated in this study. The System of Tactical Assessment in Football (FUT-SAT) was used to identify players’ tactical level and to organize them into three groups: Higher tactical level (Group 01), Intermediate tactical level (Group 02) and Lower tactical level (Group 03). Then, the players performed three High difficulty Small-Sided and Conditioned Games (HD-SSCG) and three Low difficulty Small-Sided and Conditioned Games (LD-SSCG). Teams’ interaction patterns and players’ prominence were analysed based on macro (Density – D and Clustering coefficient – CC) and micro networks (Indegree, Outdegree, Total links and Eigenvector) measures. We found that Group 01 presented higher D (p = .004 and ES = 1.189) and CC (p =.004 and ES = .785) at HD-SSCG than Group 03, whereas Group 03 presented higher values of D (p = .003 and ES = 1.200) and CC (p = .037 and ES = 1.180) at LD-SSCG than Group 01. When training tasks difficulty were adjusted to players’ tactical level, teams played more collectively and players were more actively engaged in ball circulation. We concluded that macro and micro networks measures can be applied in training context as indicators of training tasks adjustment to players' tactical level. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-12-13 2020-12-13T00:00:00Z 2022-11-21T15:48:40Z |
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://hdl.handle.net/10400.6/12416 |
url |
http://hdl.handle.net/10400.6/12416 |
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.publisher.none.fl_str_mv |
SAGE |
publisher.none.fl_str_mv |
SAGE |
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 |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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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 |
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1799136408800067584 |