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Physical and technical demands of Australian football: an analysis of maximum ball in play periods

BACKGROUND: This study compares ball in play (BiP) analyses and both whole game (WG) and quarter averaged data for physical and technical demands of sub-elite Australian football (AF) players competing in the West Australian Football League across playing positions. METHODS: Microsensor data were co...

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Autores principales: Wing, Christopher, Hart, Nicolas H., Ma’ayah, Fadi, Nosaka, Kazunori
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8790884/
https://www.ncbi.nlm.nih.gov/pubmed/35078517
http://dx.doi.org/10.1186/s13102-022-00405-5
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author Wing, Christopher
Hart, Nicolas H.
Ma’ayah, Fadi
Nosaka, Kazunori
author_facet Wing, Christopher
Hart, Nicolas H.
Ma’ayah, Fadi
Nosaka, Kazunori
author_sort Wing, Christopher
collection PubMed
description BACKGROUND: This study compares ball in play (BiP) analyses and both whole game (WG) and quarter averaged data for physical and technical demands of sub-elite Australian football (AF) players competing in the West Australian Football League across playing positions. METHODS: Microsensor data were collected from 33 male AF players in one club over 19 games of the 2019 season. BiP time periods and technical performance data (e.g., kicks) were acquired from the Champion Data timeline of statistics, and time matched to the microsensor data. Linear mixed modelling was utilised to establish differences between maximum BiP periods and averaged data. RESULTS: The analyses indicated significant differences (p < 0.0001) between maximum BiP and WG data for all metrics and all playing position (half-line, key position, and midfielders). The percentage difference was greatest for very high-speed running (171–178%), accelerations (136–142%), high-intensity efforts (128–139%), and high-speed running (134–147%) compared to PlayerLoad™ (50–56%) and total running distance (56–59%). No significant (p > 0.05) differences were evident for maximum BiP periods when they were compared between playing positions (i.e., half line vs key position vs midfield). Significant (p < 0.0001) differences were also noted between maximum BiP phases and averaged data across all 4 quarters, for each microsensor metric, and all playing positions. Technical actions (e.g., kicks and handballs) were observed in 21–48% of maximum BiP phases, depending on playing positions and microsensor metric assessed, with kicks and handballs constituting > 50% of all actions performed. CONCLUSIONS: These results show the BiP analysis method provides a more accurate assessment of the physical demands and technical actions performed by AF players, which are underestimated when using averaged data. The data presented in this study may be used to inform the design and monitoring of representative practice, ensuring that athletes are prepared for both the physical and technical demands of the most demanding passages of play.
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spelling pubmed-87908842022-01-26 Physical and technical demands of Australian football: an analysis of maximum ball in play periods Wing, Christopher Hart, Nicolas H. Ma’ayah, Fadi Nosaka, Kazunori BMC Sports Sci Med Rehabil Research BACKGROUND: This study compares ball in play (BiP) analyses and both whole game (WG) and quarter averaged data for physical and technical demands of sub-elite Australian football (AF) players competing in the West Australian Football League across playing positions. METHODS: Microsensor data were collected from 33 male AF players in one club over 19 games of the 2019 season. BiP time periods and technical performance data (e.g., kicks) were acquired from the Champion Data timeline of statistics, and time matched to the microsensor data. Linear mixed modelling was utilised to establish differences between maximum BiP periods and averaged data. RESULTS: The analyses indicated significant differences (p < 0.0001) between maximum BiP and WG data for all metrics and all playing position (half-line, key position, and midfielders). The percentage difference was greatest for very high-speed running (171–178%), accelerations (136–142%), high-intensity efforts (128–139%), and high-speed running (134–147%) compared to PlayerLoad™ (50–56%) and total running distance (56–59%). No significant (p > 0.05) differences were evident for maximum BiP periods when they were compared between playing positions (i.e., half line vs key position vs midfield). Significant (p < 0.0001) differences were also noted between maximum BiP phases and averaged data across all 4 quarters, for each microsensor metric, and all playing positions. Technical actions (e.g., kicks and handballs) were observed in 21–48% of maximum BiP phases, depending on playing positions and microsensor metric assessed, with kicks and handballs constituting > 50% of all actions performed. CONCLUSIONS: These results show the BiP analysis method provides a more accurate assessment of the physical demands and technical actions performed by AF players, which are underestimated when using averaged data. The data presented in this study may be used to inform the design and monitoring of representative practice, ensuring that athletes are prepared for both the physical and technical demands of the most demanding passages of play. BioMed Central 2022-01-25 /pmc/articles/PMC8790884/ /pubmed/35078517 http://dx.doi.org/10.1186/s13102-022-00405-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Wing, Christopher
Hart, Nicolas H.
Ma’ayah, Fadi
Nosaka, Kazunori
Physical and technical demands of Australian football: an analysis of maximum ball in play periods
title Physical and technical demands of Australian football: an analysis of maximum ball in play periods
title_full Physical and technical demands of Australian football: an analysis of maximum ball in play periods
title_fullStr Physical and technical demands of Australian football: an analysis of maximum ball in play periods
title_full_unstemmed Physical and technical demands of Australian football: an analysis of maximum ball in play periods
title_short Physical and technical demands of Australian football: an analysis of maximum ball in play periods
title_sort physical and technical demands of australian football: an analysis of maximum ball in play periods
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8790884/
https://www.ncbi.nlm.nih.gov/pubmed/35078517
http://dx.doi.org/10.1186/s13102-022-00405-5
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