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Sports Medicine

, Volume 40, Issue 4, pp 347–360 | Cite as

Match Analysis and the Physiological Demands of Australian Football

  • Adrian J. Gray
  • David G. Jenkins
Review Article

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 15m 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 >4.44m/sec), complete more high intensity efforts (~98 per game), sustain them for longer and have shorter recovery periods between high intensity exercise bouts (~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 10–40m 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.

Keywords

Global Position System Global Position System Data Rugby League Rugby Union Elite Level 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgements

No sources of funding were used to assist in the preparation of this review. The authors have no conflicts of interest that are directly relevant to the content of this review.

References

  1. 1.
    Norton KI, Craig NP, Olds TS. The evolution of Australian Football. J Sci Med Sport 1999; 2 (4): 389–404PubMedCrossRefGoogle Scholar
  2. 2.
    Orchard J, Seward H. AFL injury report: season 2007. Melbourne (VIC): Australian Football League, 2008Google Scholar
  3. 3.
    Hoskins WT, Pollard H. Injuries in Australian rules football: a review of the literature. Australas Chiropr Osteopathy 2003; 11 (2): 49–56PubMedGoogle Scholar
  4. 4.
    Stewart B. Boom time football, 1946–1975. In: Hess R, Stewart B, editors. More than a game: the real story of Australian rules football. Carlton (VIC): Melbourne University Press, 1998: 165–99Google Scholar
  5. 5.
    AFL. Laws of Australian Football 2008. Melbourne (VIC): Australian Football League, 2008Google Scholar
  6. 6.
    Nettleton B, Sandstrom ER. Skill and conditioning in Australian Rules Football. Aust J Phys Educ 1963; 29: 17–30Google Scholar
  7. 7.
    Jaques TD, Pavia GR. An analysis of the movement patterns of players in an Australian Rules league football match. Aust J Sports Med 1974; 5 (10): 10–21Google Scholar
  8. 8.
    Pyke FS, Smith RS. Football: the scientific way. Perth (WA): The University of Western Australia Press, 1975Google Scholar
  9. 9.
    Hahn A, Taylor N, Hunt B, et al. Physiological relationships between training activities and match play in Australian Football rovers. Sports Coach 1979; 3 (3): 3–8Google Scholar
  10. 10.
    McKenna MJ, Patrick JD, Sandstrom ER. Computer-video analysis of activity patterns in Australian Rules Football. In: Reilly T, editor. Science and football. London: Routledge, 1988Google Scholar
  11. 11.
    Schokman P, Sparrow WA, Le Rossignol P. The use of a movement and skills analysis system to measure player performances in Australian Football: an intervention case study. Melbourne (VIC): Australian Football League, 2003Google Scholar
  12. 12.
    Dawson B, Hopkinson R, Applby B, et al. Player movement patterns and game activities in the Australian Football League. J Sci Med Sport 2004; 7 (3): 278–91PubMedCrossRefGoogle Scholar
  13. 13.
    Anderson A. AFL annual report: football operations. Melbourne (VIC): Australian Football League, 2005Google Scholar
  14. 14.
    Norton KI. Laws of Australian Football discussion paper. Melbourne (VIC): Australian Football League, 2007Google Scholar
  15. 15.
    Wisbey B, Montgomery P. Quantifying AFL player game demands using GPS tracking. Florey (ACT): FitSense Australia, 16–7Google Scholar
  16. 16.
    Wisbey B, Montgomery P. Quantifying changes in AFL game demands using GPS tracking. Florey (ACT): Fit-Sense Australia, 2007Google Scholar
  17. 17.
    Wisbey B, Montgomery P, Pyne DB. Quantifying changes in AFL player game demands using GPS tracking: 2007 AFL season. Florey (ACT): FitSense Australia, 2008Google Scholar
  18. 18.
    Wisbey B, Rattray B, Pyne DB. Quantifying changes in AFL player game demands using GPS tracking: 2008 AFL season. Florey (ACT): FitSense Australia, 2008Google Scholar
  19. 19.
    Champion Data Game Statistics. Melbourne (VIC): Australian Football League, 2009Google Scholar
  20. 20.
    Norton K. Modeling the effect of a restriction on the number of interchanges in the AFL. Melbourne (VIC): Australian Football League, 2007Google Scholar
  21. 21.
    Edgecomb SJ, Norton KI. Comparison of global positioning and computer-based tracking systems for measuring player movement distance during Australian Football. J Sci Med Sport 2006; 9 (1): 25–32PubMedCrossRefGoogle Scholar
  22. 22.
    Macleod H, Morris J, Nevill A, et al. The validity of a nondifferential global positioning system for assessing player movement patterns in field hockey. J Sports Sci 2009; 27 (2): 121–8PubMedCrossRefGoogle Scholar
  23. 23.
    Townshend AD, Worringham CJ, Stewart IB. Assessment of speed and position during human locomotion using nondifferential GPS. Med Sci Sports Exerc 2008; 40 (1): 124–32PubMedGoogle Scholar
  24. 24.
    Witte TH, Wilson AM. Accuracy of non-differential GPS for the determination of speed over ground. J Biomech 2004; 37 (12): 1891–8PubMedCrossRefGoogle Scholar
  25. 25.
    Burgess D, Naughton G. Quantifying the gap between under 18 and senior AFL football [abstract]. J Sci Med Sport 2003; 6 (4): 525Google Scholar
  26. 26.
    Gabbett TJ, King T, Jenkins D. Applied physiology of rugby league. Sports Med 2008; 38 (2): 119–38PubMedCrossRefGoogle Scholar
  27. 27.
    Spencer M, Bishop D, Dawson B, et al. Physiological and metabolic responses of repeated-sprint activities. Sports Med 2005; 35 (12): 1025–44PubMedCrossRefGoogle Scholar
  28. 28.
    Karvonen J, Vuorimaa T. Heart rate and exercise intensity during sports activities: practical application. Sports Med 1988; 5 (5): 303–12PubMedCrossRefGoogle Scholar
  29. 29.
    Hopkins WG. Quantification of training. Sports Med 1991; 12 (3): 161–83PubMedCrossRefGoogle Scholar
  30. 30.
    Stagno KM, Thatcher R, van Someren KA. A modified TRIMP to quantify the in season training load of team sport players. J Sports Sci 2007; 25 (6): 629–34PubMedCrossRefGoogle Scholar
  31. 31.
    Buttifant D. Physiological and performance characteristics of Australian Football League players. J Sports Sci 1999; 17: 808–9Google Scholar
  32. 32.
    Young WB, Newton RU, Doyle TLA, et al. Physiological and anthropometric characteristics of starters and nonstarters and playing positions in elite Australian Rules Football: a case study. J Sci Med Sport 2005; 8 (3): 333–45PubMedCrossRefGoogle Scholar
  33. 33.
    Keogh J. The use of physical fitness scores and anthropometric data to predict selection in an elite under 18 Australian Rules football team. J Sci Med Sport 1999; 2 (2): 125–33PubMedCrossRefGoogle Scholar
  34. 34.
    Pyne DB, Gardner AS, Sheehan K, et al. Fitness testing and career progression in AFL football. J Sci Med Sport 2005; 8 (3): 321–32PubMedCrossRefGoogle Scholar
  35. 35.
    Pyne DB, Gardner AS, Sheehan K, et al. Positional differences in fitness and anthropometric characteristics in Australian Football. J Sci Med Sport 2006; 9 (1-2): 143–50PubMedCrossRefGoogle Scholar
  36. 36.
    Young WB, Pryor L. Relationship between pre-season anthropometric and fitness measures and indicators of playing performance in elite junior Australian Rules Football. J Sci Med Sport 2007; 10 (1): 110–8PubMedCrossRefGoogle Scholar
  37. 37.
    Krustrup P, Mohr M, Amstrup T, et al. The Yo-Yo intermittent recovery test: physiological response, reliability and validity. Med Sci Sports Exerc 2003; 35 (4): 697–705PubMedCrossRefGoogle Scholar
  38. 38.
    Williams C, Reid RM, Coutts R. Observations on the aerobic power of university rugby players and professional soccer players. Br J Sports Med 1973; 7: 390–1CrossRefGoogle Scholar
  39. 39.
    Boyle PM, Mahoney CA, Wallace W. The competitive demands of elite male field hockey. J Sports Med Phys Fitness 1994; 34: 235–41PubMedGoogle Scholar
  40. 40.
    Duthie G, Pyne DB, Hooper S. Applied physiology and game analysis of rugby union. Sports Med 2003; 33 (13): 973–91PubMedCrossRefGoogle Scholar
  41. 41.
    Young WB, Russell A, Burge P, et al. The use of sprint tests for assessment of speed qualities of elite Australian Rules footballers. Int J Sport Phys and Perf 2008; 3 (2): 199–206Google Scholar
  42. 42.
    Pyne DB, Saunders PU, Montgomery PG, et al. Relationships between repeated sprint testing, speed, and endurance. J Strength Cond Res 2008; 22 (5): 1633–7PubMedCrossRefGoogle Scholar
  43. 43.
    Bradley PS, Portas MD. The relationship between preseason range of motion and muscle strain injury in elite soccer players. J Strength Cond Res 2007; 21 (4): 1155–60PubMedGoogle Scholar
  44. 44.
    Jansson E, Dudley GA, Norman B, et al. Relationship of recovery from intense exercise to the oxidative potential of skeletal muscle. Acta Phys Scand 1990; 139 (1-2): 147–52CrossRefGoogle Scholar

Copyright information

© Adis Data Information BV 2010

Authors and Affiliations

  1. 1.School of Human Movement StudiesThe University of Queensland, St Lucia CampusBrisbaneAustralia

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