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How weekly monitoring variables influence players’ and teams’ match performance in elite futsal players
This study aimed to investigate how weekly training load constrains the performance of players and teams in official futsal competitions. Data from a professional male team were collected during two seasons (46 weeks). The applied monitoring system analysed the training load (as measured by session...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Institute of Sport in Warsaw
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9806744/ https://www.ncbi.nlm.nih.gov/pubmed/36636201 http://dx.doi.org/10.5114/biolsport.2023.112091 |
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author | Ribeiro, João Nuno Monteiro, Diogo Sampaio, Jaime Couceiro, Micael Travassos, Bruno |
author_facet | Ribeiro, João Nuno Monteiro, Diogo Sampaio, Jaime Couceiro, Micael Travassos, Bruno |
author_sort | Ribeiro, João Nuno |
collection | PubMed |
description | This study aimed to investigate how weekly training load constrains the performance of players and teams in official futsal competitions. Data from a professional male team were collected during two seasons (46 weeks). The applied monitoring system analysed the training load (as measured by session perceived exertion, sRPE), the total recovery status (TQR), the well-being score (WBs) and the variability of neuromuscular performance during each week (CMJ-cv). In addition, the performance was assessed for all the matches. A path analysis model was performed to test the associations across variables. Results from the path analysis model revealed that it explains 31% of the teams’ performance. In general, the results show that previous team performance has no significant effects on the training week. A significant negative relationship was found between CMJ-cv and match performance (β = -.34; CI95% -.359 to -.070), as well as a significant negative relationship between players’ match performance and the team’s match performance (β = -.55; CI95% -.292 to .740). Regarding indirect effects, only a negative association between CMJ-cv and team match performance via players’ match performance (β = -.19; CI95% -.342 to -.049) was identified. The small variation of the weekly CMJ (CMJ-cv) seems to be a key variable to monitor and explain both player and team performance. Based on this model, and only looking at the physical variables, it was possible to explain 31% of the team’s performance. Longitudinal and multi-team studies should be conducted to integrate other technical, tactical and psychological variables that allow the level of understanding of players’ and teams’ performance to be improved. |
format | Online Article Text |
id | pubmed-9806744 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Institute of Sport in Warsaw |
record_format | MEDLINE/PubMed |
spelling | pubmed-98067442023-01-11 How weekly monitoring variables influence players’ and teams’ match performance in elite futsal players Ribeiro, João Nuno Monteiro, Diogo Sampaio, Jaime Couceiro, Micael Travassos, Bruno Biol Sport Original Paper This study aimed to investigate how weekly training load constrains the performance of players and teams in official futsal competitions. Data from a professional male team were collected during two seasons (46 weeks). The applied monitoring system analysed the training load (as measured by session perceived exertion, sRPE), the total recovery status (TQR), the well-being score (WBs) and the variability of neuromuscular performance during each week (CMJ-cv). In addition, the performance was assessed for all the matches. A path analysis model was performed to test the associations across variables. Results from the path analysis model revealed that it explains 31% of the teams’ performance. In general, the results show that previous team performance has no significant effects on the training week. A significant negative relationship was found between CMJ-cv and match performance (β = -.34; CI95% -.359 to -.070), as well as a significant negative relationship between players’ match performance and the team’s match performance (β = -.55; CI95% -.292 to .740). Regarding indirect effects, only a negative association between CMJ-cv and team match performance via players’ match performance (β = -.19; CI95% -.342 to -.049) was identified. The small variation of the weekly CMJ (CMJ-cv) seems to be a key variable to monitor and explain both player and team performance. Based on this model, and only looking at the physical variables, it was possible to explain 31% of the team’s performance. Longitudinal and multi-team studies should be conducted to integrate other technical, tactical and psychological variables that allow the level of understanding of players’ and teams’ performance to be improved. Institute of Sport in Warsaw 2022-01-03 2023-01 /pmc/articles/PMC9806744/ /pubmed/36636201 http://dx.doi.org/10.5114/biolsport.2023.112091 Text en Copyright © Biology of Sport 2023 https://creativecommons.org/licenses/by-sa/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Share Alike 4.0 License, allowing third parties to copy and redistribute the material in any medium or format and remix, transform, and build upon the material for any purpose, even commercially, provided the original work is properly cited and states its license. |
spellingShingle | Original Paper Ribeiro, João Nuno Monteiro, Diogo Sampaio, Jaime Couceiro, Micael Travassos, Bruno How weekly monitoring variables influence players’ and teams’ match performance in elite futsal players |
title | How weekly monitoring variables influence players’ and teams’ match performance in elite futsal players |
title_full | How weekly monitoring variables influence players’ and teams’ match performance in elite futsal players |
title_fullStr | How weekly monitoring variables influence players’ and teams’ match performance in elite futsal players |
title_full_unstemmed | How weekly monitoring variables influence players’ and teams’ match performance in elite futsal players |
title_short | How weekly monitoring variables influence players’ and teams’ match performance in elite futsal players |
title_sort | how weekly monitoring variables influence players’ and teams’ match performance in elite futsal players |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9806744/ https://www.ncbi.nlm.nih.gov/pubmed/36636201 http://dx.doi.org/10.5114/biolsport.2023.112091 |
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