Literature DB >> 20364877

Match analysis and the physiological demands of Australian football.

Adrian J Gray1, David G Jenkins.   

Abstract

Australian Football, the most popular football code in Australia, is a contact sport played by two teams of 18 players who contest play over four 20-minute quarters; the object of the game is to score the most points through goal kicking. Sixteen professional senior sides compete against each other in the Australian Football League (AFL) and, similar to other football codes, game demands at the elite level in the AFL have changed considerably in recent years. Early time-motion analysis studies highlighted the long periods of time players spent in low intensity activities (standing and walking). While recent studies utilizing global positioning systems (GPS) technology are somewhat in agreement with earlier findings, available evidence suggests that the game is getting faster. For example, 'playing on' after a mark (a feature of the game where players who catch the ball on the full from a kick longer than 15 m are awarded a free kick) is now much quicker. Indeed, rule changes in recent years have increased the flow and speed of the game; there has been a reduction in the time taken for umpires to restart play, and for players to kick-in (after the opposition kicks a behind) or take a set shot at goal. Nomadic players (a broad term for midfielders and ruckmen because they follow play over the entire playing field) cover slightly greater distances (12,310 m) than both forwards (11,920 m) and backs (11,880 m) in a game. Compared with players in other positions, midfielders are consistently found to spend the most time at higher intensities (running and sprint efforts with movement velocities > 4.44 m/sec), complete more high intensity efforts (approximately 98 per game), sustain them for longer and have shorter recovery periods between high intensity exercise bouts (approximately 90 seconds on average). 'Ruckmen' have similar but less intense running profiles, while forwards and backs generally have less game involvement but have a more intermittent running profile (longer recovery periods with shorter duration high intensity exercise bouts and less time spent in constant pace running). Endurance fitness remains very important for players at the elite level of competition, as does upper and lower body strength and power. In addition, given the increasing speed at which Australian Football is now played, repeated sprint ability of players is arguably more important now than it was in previous years. There are no significant differences in these measures between playing position. Similarly, speed over 10-40 m does not appear to differ between playing position. Establishing the reliability of distance and velocity-derived GPS data in highly specific game-related activities is needed; once achieved, GPS data have the potential to accurately inform coaches of the position-specific demands on their players and to drive the development of training practices that reflect the changing demands of the game.

Mesh:

Year:  2010        PMID: 20364877     DOI: 10.2165/11531400-000000000-00000

Source DB:  PubMed          Journal:  Sports Med        ISSN: 0112-1642            Impact factor:   11.136


  25 in total

1.  The use of physical fitness scores and anthropometric data to predict selection in an elite under 18 Australian rules football team.

Authors:  J Keogh
Journal:  J Sci Med Sport       Date:  1999-06       Impact factor: 4.319

2.  The yo-yo intermittent recovery test: physiological response, reliability, and validity.

Authors:  Peter Krustrup; Magni Mohr; Tommas Amstrup; Torben Rysgaard; Johnny Johansen; Aadam Steensberg; Preben K Pedersen; Jens Bangsbo
Journal:  Med Sci Sports Exerc       Date:  2003-04       Impact factor: 5.411

3.  Player movement patterns and game activities in the Australian Football League.

Authors:  B Dawson; R Hopkinson; B Appleby; G Stewart; C Roberts
Journal:  J Sci Med Sport       Date:  2004-09       Impact factor: 4.319

4.  Accuracy of non-differential GPS for the determination of speed over ground.

Authors:  T H Witte; A M Wilson
Journal:  J Biomech       Date:  2004-12       Impact factor: 2.712

5.  Relationship between pre-season anthropometric and fitness measures and indicators of playing performance in elite junior Australian Rules football.

Authors:  Warren B Young; Luke Pryor
Journal:  J Sci Med Sport       Date:  2006-07-18       Impact factor: 4.319

6.  Positional differences in fitness and anthropometric characteristics in Australian football.

Authors:  D B Pyne; A S Gardner; K Sheehan; W G Hopkins
Journal:  J Sci Med Sport       Date:  2006-03-31       Impact factor: 4.319

7.  Comparison of global positioning and computer-based tracking systems for measuring player movement distance during Australian football.

Authors:  S J Edgecomb; K I Norton
Journal:  J Sci Med Sport       Date:  2006-03-31       Impact factor: 4.319

8.  Relationships between repeated sprint testing, speed, and endurance.

Authors:  David B Pyne; Philo U Saunders; Paul G Montgomery; Adam J Hewitt; Kevin Sheehan
Journal:  J Strength Cond Res       Date:  2008-09       Impact factor: 3.775

9.  Heart rate and exercise intensity during sports activities. Practical application.

Authors:  J Karvonen; T Vuorimaa
Journal:  Sports Med       Date:  1988-05       Impact factor: 11.136

10.  Relationship of recovery from intensive exercise to the oxidative potential of skeletal muscle.

Authors:  E Jansson; G A Dudley; B Norman; P A Tesch
Journal:  Acta Physiol Scand       Date:  1990-05
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  33 in total

1.  Game and Training Load Differences in Elite Junior Australian Football.

Authors:  Brendan Henderson; Jill Cook; Dawson J Kidgell; Paul B Gastin
Journal:  J Sports Sci Med       Date:  2015-08-11       Impact factor: 2.988

2.  Reliability and Validity of a New Test of Change-of-Direction Speed for Field-Based Sports: the Change-of-Direction and Acceleration Test (CODAT).

Authors:  Robert G Lockie; Adrian B Schultz; Samuel J Callaghan; Matthew D Jeffriess; Simon P Berry
Journal:  J Sports Sci Med       Date:  2013-03-01       Impact factor: 2.988

Review 3.  A brief review of strength and ballistic assessment methodologies in sport.

Authors:  Daniel Travis McMaster; Nicholas Gill; John Cronin; Michael McGuigan
Journal:  Sports Med       Date:  2014-05       Impact factor: 11.136

Review 4.  "To Tech or Not to Tech?" A Critical Decision-Making Framework for Implementing Technology in Sport.

Authors:  Johann Windt; Kerry MacDonald; David Taylor; Bruno D Zumbo; Ben C Sporer; David T Martin
Journal:  J Athl Train       Date:  2020-09-01       Impact factor: 2.860

5.  Sleep/Wake Behaviours in Elite Athletes from Three Different Football Codes.

Authors:  Dean J Miller; Charli Sargent; Grace E Vincent; Gregory D Roach; Shona L Halson; Michele Lastella
Journal:  J Sports Sci Med       Date:  2017-12-01       Impact factor: 2.988

6.  Applied Sport Science of Australian Football: A Systematic Review.

Authors:  Rich D Johnston; Georgia M Black; Peter W Harrison; Nick B Murray; Damien J Austin
Journal:  Sports Med       Date:  2018-07       Impact factor: 11.136

Review 7.  Short-term heat acclimation training improves physical performance: a systematic review, and exploration of physiological adaptations and application for team sports.

Authors:  Samuel Chalmers; Adrian Esterman; Roger Eston; K Jane Bowering; Kevin Norton
Journal:  Sports Med       Date:  2014-07       Impact factor: 11.136

8.  No Additional Benefit of Repeat-Sprint Training in Hypoxia than in Normoxia on Sea-Level Repeat-Sprint Ability.

Authors:  Paul S R Goods; Brian Dawson; Grant J Landers; Christopher J Gore; Peter Peeling
Journal:  J Sports Sci Med       Date:  2015-08-11       Impact factor: 2.988

Review 9.  Agility in Team Sports: Testing, Training and Factors Affecting Performance.

Authors:  Darren J Paul; Tim J Gabbett; George P Nassis
Journal:  Sports Med       Date:  2016-03       Impact factor: 11.136

10.  Athlete Workloads During Collegiate Women's Soccer Practice: Implications for Return to Play.

Authors:  Natalie Kupperman; Alexandra F DeJong; Peter Alston; Jay Hertel; Susan A Saliba
Journal:  J Athl Train       Date:  2021-03-01       Impact factor: 2.860

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