OpenAIRE is about to release its new face with lots of new content and services.
During September, you may notice downtime in services, while some functionalities (e.g. user registration, login, validation, claiming) will be temporarily disabled.
We apologize for the inconvenience, please stay tuned!
For further information please contact helpdesk[at]openaire.eu

fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
Malone, JJ; Di Michele, R; Morgans, R; Burgess, D; Morton, JP; Drust, B
Publisher: Human Kinetics
Languages: English
Types: Article
Subjects: RC1200, sports
Purpose: To quantify the seasonal training load completed by professional soccer players of the English Premier League. Methods: Thirty players were sampled (using GPS, heart rate, and rating of perceived exertion [RPE]) during the daily training sessions of the 2011–12 preseason and in-season period. Preseason data were analyzed across 6 × 1-wk microcycles. In-season data were analyzed across 6 × 6-wk mesocycle blocks and 3 × 1-wk microcycles at start, midpoint, and end-time points. Data were also analyzed with respect to number of days before a match. Results: Typical daily training load (ie, total distance, high-speed distance, percent maximal heart rate [%HRmax], RPE load) did not differ during each week of the preseason phase. However, daily total distance covered was 1304 (95% CI 434–2174) m greater in the 1st mesocycle than in the 6th. %HRmax values were also greater (3.3%, 1.3–5.4%) in the 3rd mesocycle than in the first. Furthermore, training load was lower on the day before match (MD-1) than 2 (MD-2) to 5 (MD-5) d before a match, although no difference was apparent between these latter time points. Conclusions: The authors provide the 1st report of seasonal training load in elite soccer players and observed that periodization of training load was typically confined to MD-1 (regardless of mesocycle), whereas no differences were apparent during MD-2 to MD-5. Future studies should evaluate whether this loading and periodization are facilitative of optimal training adaptations and match-day performance.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • 1. Impellizzeri FM, Rampinini E, Marcora SM. Physiological assessment of aerobic training in soccer. J. Sports Sci. 2005;23:583-592.
    • 2. Booth FW, Thompson DB. Molecular and cellular adaptation of muscle in response to exercise: Perspectives of various models. Physiol Rev. 1991;71:541-585.
    • 3. Borg G. Perceived exertion as an indicator of somatic stress. Scand J Rehabil Med. 1970;2:92-98.
    • 4. Coutts AJ, Rampinini E, Marcora SM, et al. Heart rate and blood lactate correlates of perceived exertion during small-sided soccer games. J Sci Med Sport. 2009;12:79-84.
    • 5. Kelly DM, Drust B. The effect of pitch dimensions on heart rate responses and technical demands of small-sided soccer games in elite players. J Sci Med Sport. 2009;12:475-479.
    • 6. Casamichana D, Castellano J. Time-motion, heart rate, perceptual and motor behaviour demands in small-sides soccer games: effects of pitch size. J Sports Sci. 2010;28:1615- 1623.
    • 7. Castellano J, Casamichana D. Differences in the number of accelerations between smallsided games and friendly matches in soccer. J Sports Sci Med. 2013;12:209-210.
    • 8. Gaudino P, Alberti G, Iaia FM. Estimated metabolic and mechanical demands during different small-sided games in elite soccer players. Hum Mov Sci. 2014; 23:123-133.
    • 9. Owen AL, Wong DP, Dunlop G, et al. High intensity training and salivary immunoglobulin-A responses in professional top-level soccer players: effect of training intensity. J Strength Cond Res. In press.
    • 10. Wrigley R, Drust B, Stratton G, et al. Quantification of the typical weekly in-season training load in elite junior soccer players. J Sports Sci. 2012;30:1573-1580.
    • 11. Abade EA, Goncalves BV, Leite NM, et al. Time-motion and physiological profile of football training sessions performed by under-15, under-17 and under-19 elite Portuguese players. Int J Sports Physiol Perform. 2014;9:463-470.
    • 12. Gaudino P, Iaia FM, Alberti G, et al. Monitoring training in elite soccer players: a systematic bias between running speed and metabolic power data. Int J Sports Med. 2013;34:963-968.
    • 13. Impellizzeri FM, Rampinini E, Coutts AJ, et al. Use of RPE-Based Training Load in Soccer. Med Sci Sports Exerc. 2004;36:1042-1047.
    • 14. Scott BR, Lockie RG, Knight TJ, et al. A comparison of methods to quantify the inseason training load of professional soccer players. Int J Sports Physiol Perform. 2013;8:195-202.
    • 15. Alexiou H, Coutts AJ. A comparison of methods used for quantifying internal training load in women soccer players. Int J Sports Physiol Perform. 2008;3:320-330.
    • 16. Casamichana D, Castellano J, Calleja-Gonzalez J, et al. Relationship between indictors of training load in soccer players. J Strength Cond Res. 2013;27:369-374.
    • 17. Manzi V, Bovenzi A, Impellizzeri FM, et al. Individual training-load and aerobic-fitness variables in premiership soccer players during the precompetitive season. J Strength Cond Res. 2013;27:631-636.
    • 18. Jeong TS, Reilly T, Morton J, et al. Quantification of the physiological loading of one week of “pre-season” and one week of “in-season” training in professional soccer players. J Sports Sci. 2011;29:1161-1166.
    • 19. Stølen T, Chamari K, Castagna C, et al. Physiology of Soccer: an update. Sport Med. 2005;35:501-536.
    • 20. Bompa TO, Haff GG. Periodization: Theory and Methodology of Training (5th ed.). Champaign, IL: Human Kinetics; 2009.
    • 21. Bradley PS, Sheldon W, Wooster B, et al. High-intensity running in English FA Premier League soccer matches. J Sports Sci. 2009;27:159-168.
    • 22. Malone JJ. An Examination of the Training Loads within Elite Professional Football (doctoral thesis). Liverpool John Moores University, Liverpool; 2013.
    • 23. Akenhead R, French D, Thompson KG, et al. The acceleration dependent validity and reliability of 10Hz GPS. J Sci Med Sport. In press.
    • 24. Burgess D, Drust B. Developing a physiology-based sports science support strategy in the professional game. In: Williams M, ed. Science and Soccer: Developing Elite Performers. Oxon, UK: Routledge; 2012:372-389.
    • 25. Foster C. Monitoring training in athletes with reference to overtraining syndrome. Med Sci Sports Exerc. 1998;30:1164-1168.
    • 26. Di Salvo V, Gregson W, Atkinson G, et al. Analysis of high intensity activity in Premier League soccer. Int J Sports Med. 2009;30:205-212.
    • 27. Cnaan A, Laird NM, Slasor P. Using the general linear mixed model to analyse unbalanced repeated measures and longitudinal data. Stat Med. 1997;16:2349-2380.
    • 28. Hopkins WG. Spreadsheet for analysis of controlled trials with adjustment for a subject characteristics. Sportscience. 2006;10:46-50.
    • 29. Reilly T. The training process. In: T Reilly, ed. The Science of Training - Soccer: A Scientific Approach to Developing Strength, Speed and Endurance. London: Routledge; 2007:1-19.
    • 30. Issurin VB. New horizons for the methodology and physiology of training periodization. Sports Med. 2010;40:189-206.
    • 31. Mujika I, Padilla S, Pyne D, et al. Physiological changes associated with the pre-event taper in athletes. Sports Med. 2004;34:891-927.
  • No related research data.
  • No similar publications.

Share - Bookmark

Cite this article

Cookies make it easier for us to provide you with our services. With the usage of our services you permit us to use cookies.
More information Ok