Exploring the Effects of Playing Formations on Tactical Behavior and External Workload During Football Small-Sided Games

Detalhes bibliográficos
Autor(a) principal: Baptista, Jorge
Data de Publicação: 2020
Outros Autores: Travassos, Bruno, Gonçalves, Bruno, Mourão, Paulo, Viana, João L., Sampaio, Jaime
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.24/1784
Resumo: Baptista, J, Travassos, B, Gonçalves, B, Mourão, P, Viana, JL, and Sampaio, J. Exploring the effects of playing formations on tactical behavior and external workload during football small-sided games. J Strength Cond Res 34(7): 2024-2030, 2020-This study aimed to identify the effects of playing formations on tactical behavior and external workload during football small-sided games. Twenty-three semiprofessional footballers integrated 3 different playing formations in a 7-a-side small-sided game, according to their specific player positions: team 4:3:0 (4 defenders and 3 midfielders); team 4:1:2 (4 defenders, 1 midfielder, and 2 forwards); and team 0:4:3 (4 midfielders and 3 forwards). Based on players' movement trajectories, the following individual and collective tactical variables were calculated: total distance covered and distance covered while walking, jogging, running, and sprinting, distance from each player to both own-team centroid and opponent-team centroid, individual area, team length, team width, and surface area. Approximate entropy was computed to identify the regularity of each variable. The team 4:3:0 promoted players' space exploration with moderate physical efforts. The team 4:1:2 promoted compactness and regularity of the team with increase in the physical efforts. The team 0:4:3 promoted team balance and adaptability on space coverage with increase in physical efforts. Concluding, different playing formations support different game dynamics, and variations on external load were directly linked with the variations on tactical behavior. The analysis of tactical behavior through quantification of variability of patterns of play and quantification of distance covered at different velocities were the most useful information for the analysis of the effects of practice task manipulations. Therefore, in a practical sense, strength and conditioning coaches should plan and monitor these tasks in interaction with the head coaches.
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spelling Exploring the Effects of Playing Formations on Tactical Behavior and External Workload During Football Small-Sided GamesAdolescentAlgorithmsAthletic PerformanceCross-Sectional StudiesHumansMaleMovementRunningSoccerWalkingYoung AdultBaptista, J, Travassos, B, Gonçalves, B, Mourão, P, Viana, JL, and Sampaio, J. Exploring the effects of playing formations on tactical behavior and external workload during football small-sided games. J Strength Cond Res 34(7): 2024-2030, 2020-This study aimed to identify the effects of playing formations on tactical behavior and external workload during football small-sided games. Twenty-three semiprofessional footballers integrated 3 different playing formations in a 7-a-side small-sided game, according to their specific player positions: team 4:3:0 (4 defenders and 3 midfielders); team 4:1:2 (4 defenders, 1 midfielder, and 2 forwards); and team 0:4:3 (4 midfielders and 3 forwards). Based on players' movement trajectories, the following individual and collective tactical variables were calculated: total distance covered and distance covered while walking, jogging, running, and sprinting, distance from each player to both own-team centroid and opponent-team centroid, individual area, team length, team width, and surface area. Approximate entropy was computed to identify the regularity of each variable. The team 4:3:0 promoted players' space exploration with moderate physical efforts. The team 4:1:2 promoted compactness and regularity of the team with increase in the physical efforts. The team 0:4:3 promoted team balance and adaptability on space coverage with increase in physical efforts. Concluding, different playing formations support different game dynamics, and variations on external load were directly linked with the variations on tactical behavior. The analysis of tactical behavior through quantification of variability of patterns of play and quantification of distance covered at different velocities were the most useful information for the analysis of the effects of practice task manipulations. Therefore, in a practical sense, strength and conditioning coaches should plan and monitor these tasks in interaction with the head coaches.Repositório Científico da UMAIABaptista, JorgeTravassos, BrunoGonçalves, BrunoMourão, PauloViana, João L.Sampaio, Jaime2021-04-28T15:19:59Z2020-01-01T00:00:00Z2020-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articletext/htmlhttp://hdl.handle.net/10400.24/1784eng10.1519/JSC.0000000000002445info: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:RCAAP2022-09-26T16:01:11Zoai:repositorio.umaia.pt:10400.24/1784Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T16:10:08.725942Repositório 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 Exploring the Effects of Playing Formations on Tactical Behavior and External Workload During Football Small-Sided Games
title Exploring the Effects of Playing Formations on Tactical Behavior and External Workload During Football Small-Sided Games
spellingShingle Exploring the Effects of Playing Formations on Tactical Behavior and External Workload During Football Small-Sided Games
Baptista, Jorge
Adolescent
Algorithms
Athletic Performance
Cross-Sectional Studies
Humans
Male
Movement
Running
Soccer
Walking
Young Adult
title_short Exploring the Effects of Playing Formations on Tactical Behavior and External Workload During Football Small-Sided Games
title_full Exploring the Effects of Playing Formations on Tactical Behavior and External Workload During Football Small-Sided Games
title_fullStr Exploring the Effects of Playing Formations on Tactical Behavior and External Workload During Football Small-Sided Games
title_full_unstemmed Exploring the Effects of Playing Formations on Tactical Behavior and External Workload During Football Small-Sided Games
title_sort Exploring the Effects of Playing Formations on Tactical Behavior and External Workload During Football Small-Sided Games
author Baptista, Jorge
author_facet Baptista, Jorge
Travassos, Bruno
Gonçalves, Bruno
Mourão, Paulo
Viana, João L.
Sampaio, Jaime
author_role author
author2 Travassos, Bruno
Gonçalves, Bruno
Mourão, Paulo
Viana, João L.
Sampaio, Jaime
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Repositório Científico da UMAIA
dc.contributor.author.fl_str_mv Baptista, Jorge
Travassos, Bruno
Gonçalves, Bruno
Mourão, Paulo
Viana, João L.
Sampaio, Jaime
dc.subject.por.fl_str_mv Adolescent
Algorithms
Athletic Performance
Cross-Sectional Studies
Humans
Male
Movement
Running
Soccer
Walking
Young Adult
topic Adolescent
Algorithms
Athletic Performance
Cross-Sectional Studies
Humans
Male
Movement
Running
Soccer
Walking
Young Adult
description Baptista, J, Travassos, B, Gonçalves, B, Mourão, P, Viana, JL, and Sampaio, J. Exploring the effects of playing formations on tactical behavior and external workload during football small-sided games. J Strength Cond Res 34(7): 2024-2030, 2020-This study aimed to identify the effects of playing formations on tactical behavior and external workload during football small-sided games. Twenty-three semiprofessional footballers integrated 3 different playing formations in a 7-a-side small-sided game, according to their specific player positions: team 4:3:0 (4 defenders and 3 midfielders); team 4:1:2 (4 defenders, 1 midfielder, and 2 forwards); and team 0:4:3 (4 midfielders and 3 forwards). Based on players' movement trajectories, the following individual and collective tactical variables were calculated: total distance covered and distance covered while walking, jogging, running, and sprinting, distance from each player to both own-team centroid and opponent-team centroid, individual area, team length, team width, and surface area. Approximate entropy was computed to identify the regularity of each variable. The team 4:3:0 promoted players' space exploration with moderate physical efforts. The team 4:1:2 promoted compactness and regularity of the team with increase in the physical efforts. The team 0:4:3 promoted team balance and adaptability on space coverage with increase in physical efforts. Concluding, different playing formations support different game dynamics, and variations on external load were directly linked with the variations on tactical behavior. The analysis of tactical behavior through quantification of variability of patterns of play and quantification of distance covered at different velocities were the most useful information for the analysis of the effects of practice task manipulations. Therefore, in a practical sense, strength and conditioning coaches should plan and monitor these tasks in interaction with the head coaches.
publishDate 2020
dc.date.none.fl_str_mv 2020-01-01T00:00:00Z
2020-01-01T00:00:00Z
2021-04-28T15:19:59Z
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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
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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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