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]

fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
Bush, MD; Archer, DT; Hogg, R; Bradley, PS
Languages: English
Types: Article
Subjects: RC1200, sports, sub_sportsciences
Purpose: To investigate match-to-match variability of physical and technical performances in English Premier League players and quantify the influence of positional and contextual factors. Methods: Match data (N = 451) were collected using a multicamera computerized tracking system across multiple seasons (2005–06 to 2012–13). The coefficient of variation (CV) was calculated from match to match for physical and technical performances in selected positions across different match contexts (location, standard, and result). Results: Wide midfielders demonstrated the greatest CVs for total distance (4.9% ± 5.9%) and central midfielders the smallest (3.6% �} 2.0%); nevertheless, all positions exhibited CVs <5% (P > .05, effect size [ES] 0.1–0.3). Central defenders demonstrated the greatest CVs and wide midfielders the lowest for both high-intensity running (20.2% ± 8.8% and 13.7% ± 7.7%, P < .05, ES 0.4–0.8) and sprint distance (32.3% ± 13.8% and 22.6% ± 11.2%, P < .05, ES 0.5–0.8). Technical indicators such as tackles (83.7% ± 42.3%), possessions won (47.2% ± 27.9%), and interceptions (59.1% ± 37.3%) illustrated substantial variability for attackers compared with all other positions (P < .05, ES 0.4–1.1). Central defenders demonstrated large variability for the number of times tackled per match (144.9% ± 58.3%) and passes attempted and received compared with other positions (39.2% ± 17.5% and 46.9% ± 20.2%, P < .001, ES 0.6–1.8). Contextual factors had limited impact on the variability of physical and technical parameters. Conclusions: The data demonstrate that technical parameters varied more from match to match than physical parameters. Defensive players (fullbacks and central defenders) displayed higher CVs for offensive technical variables, while attacking players (attackers and wide midfielders) exhibited higher CVs for defensive technical variables. Physical and technical performances are variable per se regardless of context.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • Mackenzie R, Cushion C. Performance analysis in football: a critical review and implications for future research. J Sports Sci. 2013;31(6):639-676.
    • 2012;31(March):139-147.
    • Mohr M, Krustrup P, Bangsbo J. Match performance of high-standard soccer players with special reference to development of fatigue. J Sports Sci. 2003;21(7):519- 528.
    • Gregson W, Drust B, Atkinson G, Di Salvo V. Match-tomatch variability of high-speed activities in premier league soccer. Int J Sports Med. 2010;31(4):237-242.
    • Rampinini E, Coutts a J, Castagna C, Sassi R, Impellizzeri FM. Variation in top level soccer match performance. Int J Sports Med. 2007;28(12):1018-1024.
    • Lago-Peñas C, Lago-Ballesteros J. Game location and team quality effects on performance profiles in professional soccer. J Sport Sci Med. 2011;10:465-471.
    • Taylor JB, Mellalieu SD, James N, Shearer D a. The influence of match location, quality of opposition, and match status on technical performance in professional association football. J Sports Sci. 2008;26(9):885-895.
    • Bradley PS, O'Donoghue P, Wooster B, Tordoff P. The reliability of Prozone MatchViewer: a video-based technical performance analysis system. Int J Perform Anal Sport. 2007;7:117-129.
    • Validation of Prozone: A new video-based performance analysis system. Int J Perform Anal Sport. 2006;6:108- 119.
    • Bradley PS, Carling C, Archer D, et al. The effect of playing formation on high-intensity running and technical profiles in English FA Premier League soccer matches. J Sports Sci. 2011;29(8):821-830.
    • Batterham AM, Hopkins WG. Making meaningful inferences about magnitudes. Int J Sports Physiol Perform. 2006;1(1):50-57.
    • Progressive statistics for studies in sports medicine and exercise science. Med Sci Sports Exerc. 2009;41(1):3-13.
    • Barnes C, Archer D, Hogg B, Bush M, Bradley PS. The Evolution of Physical and Technical Performance Parameters in the English Premier League. Int J Sports Med. 2014;35(13):1095-1100.
    • Wallace JL, Norton KI. Evolution of World Cup soccer final games 1966-2010: Game structure, speed and play patterns. J Sci Med Sport. 2014;17(2):223-228.
    • Faude O, Koch T, Meyer T. Straight sprinting is the most frequent action in goal situations in professional football. J Sports Sci. 2012;30(7):625-31.
    • doi:10.1080/02640414.2012.665940.
  • 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