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Evaluating the influence of a constraint manipulation on technical, tactical and physical athlete behaviour
Evaluating practice design is an important component of supporting skill acquisition and improving team-sport performance. Constraint manipulations, including creating a numerical advantage or disadvantage during training, may be implemented by coaches to influence aspects of player or team behaviou...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9714935/ https://www.ncbi.nlm.nih.gov/pubmed/36454909 http://dx.doi.org/10.1371/journal.pone.0278644 |
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author | Teune, Ben Woods, Carl Sweeting, Alice Inness, Mathew Robertson, Sam |
author_facet | Teune, Ben Woods, Carl Sweeting, Alice Inness, Mathew Robertson, Sam |
author_sort | Teune, Ben |
collection | PubMed |
description | Evaluating practice design is an important component of supporting skill acquisition and improving team-sport performance. Constraint manipulations, including creating a numerical advantage or disadvantage during training, may be implemented by coaches to influence aspects of player or team behaviour. This study presents methods to evaluate the interaction between technical, tactical and physical behaviours of professional Australian Football players during numerical advantage and disadvantage conditions within a small-sided game. During each repetition of the game, team behaviour was manually annotated to determine: repetition duration, disposal speed, total disposals, efficiency, and disposal type. Global Positioning System devices were used to quantify tactical (surface area) and physical (velocity and high intensity running) variables. A rule association and classification tree analysis were undertaken. The top five rules for each constraint manipulation had confidence levels between 73.3% and 100%, which identified the most frequent behaviour interactions. Specifically, four advantage rules involved high surface area and medium high intensity running indicating the attacking team’s frequent movement solution within this constraint. The classification tree included three behaviour metrics: surface area, velocity 1SD and repetition duration, and identified two unique movement solutions for each constraint manipulation. These results may inform if player behaviour is achieving the desired outcomes of a constraint manipulation, which could help practitioners determine the efficacy of a training task. Further, critical constraint values provided by the models may guide practitioners in their ongoing constraint manipulations to facilitate skill acquisition. Sport practitioners can adapt these methods to evaluate constraint manipulations and inform practice design. |
format | Online Article Text |
id | pubmed-9714935 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-97149352022-12-02 Evaluating the influence of a constraint manipulation on technical, tactical and physical athlete behaviour Teune, Ben Woods, Carl Sweeting, Alice Inness, Mathew Robertson, Sam PLoS One Research Article Evaluating practice design is an important component of supporting skill acquisition and improving team-sport performance. Constraint manipulations, including creating a numerical advantage or disadvantage during training, may be implemented by coaches to influence aspects of player or team behaviour. This study presents methods to evaluate the interaction between technical, tactical and physical behaviours of professional Australian Football players during numerical advantage and disadvantage conditions within a small-sided game. During each repetition of the game, team behaviour was manually annotated to determine: repetition duration, disposal speed, total disposals, efficiency, and disposal type. Global Positioning System devices were used to quantify tactical (surface area) and physical (velocity and high intensity running) variables. A rule association and classification tree analysis were undertaken. The top five rules for each constraint manipulation had confidence levels between 73.3% and 100%, which identified the most frequent behaviour interactions. Specifically, four advantage rules involved high surface area and medium high intensity running indicating the attacking team’s frequent movement solution within this constraint. The classification tree included three behaviour metrics: surface area, velocity 1SD and repetition duration, and identified two unique movement solutions for each constraint manipulation. These results may inform if player behaviour is achieving the desired outcomes of a constraint manipulation, which could help practitioners determine the efficacy of a training task. Further, critical constraint values provided by the models may guide practitioners in their ongoing constraint manipulations to facilitate skill acquisition. Sport practitioners can adapt these methods to evaluate constraint manipulations and inform practice design. Public Library of Science 2022-12-01 /pmc/articles/PMC9714935/ /pubmed/36454909 http://dx.doi.org/10.1371/journal.pone.0278644 Text en © 2022 Teune et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Teune, Ben Woods, Carl Sweeting, Alice Inness, Mathew Robertson, Sam Evaluating the influence of a constraint manipulation on technical, tactical and physical athlete behaviour |
title | Evaluating the influence of a constraint manipulation on technical, tactical and physical athlete behaviour |
title_full | Evaluating the influence of a constraint manipulation on technical, tactical and physical athlete behaviour |
title_fullStr | Evaluating the influence of a constraint manipulation on technical, tactical and physical athlete behaviour |
title_full_unstemmed | Evaluating the influence of a constraint manipulation on technical, tactical and physical athlete behaviour |
title_short | Evaluating the influence of a constraint manipulation on technical, tactical and physical athlete behaviour |
title_sort | evaluating the influence of a constraint manipulation on technical, tactical and physical athlete behaviour |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9714935/ https://www.ncbi.nlm.nih.gov/pubmed/36454909 http://dx.doi.org/10.1371/journal.pone.0278644 |
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