Evidence map›Paper›PMID 35078517›Full record

ArticleBMC sports science, medicine & rehabilitation2022

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

Christopher Wing, Nicolas H Hart, Fadi Ma'ayah, Kazunori Nosaka

Abstract read
In one paragraph

Article in BMC sports science, medicine & rehabilitation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. A framework for player movement analysis in team sports.Frontiers in sports and active living · 2024
    Review
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Christopher WingSchool of Medical and Health Sciences, Edith Cowan University, 270 Joondalup Drive, Joondalup, WA, 6027, Australia. cewing1@our.ecu.edu.au.ORCID http://orcid.org/0000-0002-3105-4410
Nicolas H HartInstitute for Health Research, University of Notre Dame Australia, Fremantle, WA, Australia.ORCID http://orcid.org/0000-0003-2794-0193
Fadi Ma'ayahSchool of Medical and Health Sciences, Edith Cowan University, 270 Joondalup Drive, Joondalup, WA, 6027, Australia.ORCID http://orcid.org/0000-0002-6668-3815
Kazunori NosakaSchool of Medical and Health Sciences, Edith Cowan University, 270 Joondalup Drive, Joondalup, WA, 6027, Australia.ORCID http://orcid.org/0000-0001-7373-4994

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis 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.

methodsMicrosensor 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.

resultsThe 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.

conclusionsThese 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.

Indexed as

AccelerationsGPSHigh-intensity activityHigh-speed runningMicrosensor technology

Identifiers

PMID35078517
PMCPMC8790884

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.