Measurement of the Pitch Exploration Amongst Elite Professional Soccer Players: Official Match Analysis

  • Filipe Manuel Clemente
  • Adam Owen
  • Aida Mustapha
  • Cornelis M. I. (Niels) van der Linden
  • João Ribeiro
  • Bruno Mendes
  • Jelle Reichert
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 700)

Abstract

Analysis of the physical and technical aspects of professional soccer is well reported, however the tactical analysis of the elite level is still limited in its conception. The purpose of this exploratory study was to measure the spatial exploration index of elite professional soccer players during official matches inclusive of positional analysis variants. Differences between 1st and 2nd half of match play was also analyzed. The investigation involved the analysis of six-official elite professional soccer matches. Fourteen players participated in the study which included games from the Portuguese National Premier League. Players were tracked with a 10 Hz GPS. Spatial exploration index was computed based on position-data from GPS. Results revealed significant differences between playing positions (p = 0.001; \( \eta^{2} \) = 0.213). Wide forwards and centre forwards had the highest values of spatial exploration index with central defenders the lowest. No significant differences were found between 1st and 2nd half of the matches, however repeated measures revealed significant variances between matches (p = 0.003; \( \eta^{2} \) = 0.995). In conclusion, it was revealed that that wide forwards and centre forwards are the positional players whom deviate further from their typical middle point when playing this position.

Keywords

GPS Tactics External load Football 

Notes

Acknowledgements

We would like to thank to JOHAN sports for allowing the use of their GPS trackers.

References

  1. 1.
    Buchheit, M., Allen, A., Poon, T.K., Modonutti, M., Gregson, W., Di Salvo, V.: Integrating different tracking systems in football: multiple camera semi-automatic system, local position measurement and GPS technologies. J. Sports Sci. 32(20), 1844–1857 (2014)CrossRefGoogle Scholar
  2. 2.
    Cummins, C., Orr, R., O’Connor, H., West, C.: Global positioning systems (GPS) and microtechnology sensors in team sports: a systematic review. Sport. Med. 43(10), 1025–1042 (2013)CrossRefGoogle Scholar
  3. 3.
    Malone, J.J, Lovell, R., Varley, M.C., Coutts, A.J.: Unpacking the black box: applications and considerations for using GPS devices in sport. Int. J. Sports Physiol. Perform. 12(Suppl 2), S2-18–S2-26 (2017)Google Scholar
  4. 4.
    Memmert, D., Lemmink, K.A.P.M., Sampaio, J.: Current approaches to tactical performance analyses in soccer using position data. Sport. Med. 47(1), 1–10 (2017)CrossRefGoogle Scholar
  5. 5.
    Clemente, F.M., Couceiro, M.S., Martins, F.M.L., Mendes, R.S., Figueiredo, A.J.: Practical implementation of computational tactical metrics for the football game: towards an augmenting perception of coaches and sport analysts. In: Murgante, Misra, Rocha, Torre, Falcão, Taniar, Apduhan, Gervasi (eds.) Computational Science and Its Applications, pp. 712–727. Springer (2014)Google Scholar
  6. 6.
    Frencken, W., Lemmink, K.: Team kinematics of small-sided football games: a systematic approach. In: Reilly, T., Korkusuz, F. (eds.) Science and Football VI, pp. 161–166. Routledge Taylor & Francis Group, Oxon (2008)Google Scholar
  7. 7.
    Taki, T., Hasegawa, J.: Visualization of dominant region in team games and its application to teamwork analysis. Proc. Comput. Graph. Int. 2000, 227–235 (2000)Google Scholar
  8. 8.
    Duarte, R., Araújo, D., Correia, V., Davids, K.: Sports teams as super organisms: implications of sociobiological models of behaviour for research and practice in team sports performance analysis. Sport. Med. 42(8), 633–642 (2012)CrossRefGoogle Scholar
  9. 9.
    Travassos, B., Davids, K., Araújo, D., Esteves, P.T.: Performance analysis in team sports: advances from an ecological dynamics approach. Int. J. Perform. Anal. Sport 13(1), 83–95 (2013)CrossRefGoogle Scholar
  10. 10.
    Fonseca, S., Milho, J., Passos, P., Araújo, D., Davids, K.: Approximate entropy normalized measures for analyzing social neurobiological systems. J. Mot. Behav. 44(3), 179–183 (2012)CrossRefGoogle Scholar
  11. 11.
    Silva, P., Aguiar, P., Duarte, R., Davids, K., Araújo, D., Garganta, J.: Effects of pitch size and skill level on tactical behaviours of association football players during small-sided and conditioned games. Int. J. Sport. Sci. Coach. 9(5), 993–1006 (2014)CrossRefGoogle Scholar
  12. 12.
    Couceiro, M.S., Clemente, F.M., Martins, F.M.L., Machado, J.A.T.: Dynamical stability and predictability of football players: the study of one match. Entropy 16(2), 645–674 (2014)MathSciNetCrossRefGoogle Scholar
  13. 13.
    Fonseca, S., Milho, J., Travassos, B., Araújo, D.: Spatial dynamics of team sports exposed by Voronoi diagrams. Hum. Mov. Sci. 31(6), 1652–1659 (2012)CrossRefGoogle Scholar
  14. 14.
    Gonçalves, B., Esteves, P., Folgado, H., Ric, A., Torrents, C., Sampaio, J.: Effects of pitch area-restrictions on tactical behavior, physical and physiological performances in soccer large-sided games. J. Strength Cond. Res. (2017) (vol. ahead-of-p)Google Scholar
  15. 15.
    McGarry, T.: Soccer as a dynamical system: some theoretical considerations. In: Reilly, T., Cabri, J., Araújo, D. (eds.) Science and Football V, pp. 570–579. Routledge, Taylor & Francis Group, London and New York (2005)Google Scholar
  16. 16.
    Clemente, F.M., Nikolaidis, P.T., Van Der Linden, C.M.I.N., Silva, B.: Effects of small-sided soccer games on internal and external load and lower limb power: a pilot study in collegiate players. Hum. Mov. 18(1), 50–57 (2017)Google Scholar
  17. 17.
    Clemente, F.M., Sequeiros, J.B., Correia, A.F.P.P., Silva, F., Martins, F.M.L.: Computational Metrics and Its Applications on the Analysis of Soccer: Connecting the dots. Springer Singapore, Singapore (2017)Google Scholar
  18. 18.
    Ferguson, C.J.: An effect size primer: a guide for clinicians and researchers. Prof. Psychol. Res. Pract. 40(5), 532–538 (2009)CrossRefGoogle Scholar
  19. 19.
    Malta, P., Travassos, B.: Characterization of the defense-attack transition of a soccer team. Motricidade 10(1), 27–37 (2014)CrossRefGoogle Scholar
  20. 20.
    Carling, C.: Interpreting physical performance in professional soccer match-play: should we be more pragmatic in our approach? Sports Med. 43(8), 655–663 (2013)CrossRefGoogle Scholar
  21. 21.
    Lago-Peñas, C., Dellal, A.: Ball possession strategies in elite soccer according to the evolution of the match-score: the influence of situational variables. J. Hum. Kinet. 25, 93–100 (2010)CrossRefGoogle Scholar
  22. 22.
    Lago-Peñas, C., Lago-Ballesteros, J.: Game location and team quality effects on performance profiles in professional soccer. J. Sport. Sci. Med. 10, 465–471 (2011)Google Scholar
  23. 23.
    Owen, A.L., Lagos-Penas, C., Gómez, M.A., Mendes, B., Dellal, A.: Analysis of a training mesocycle and positional quantification in elite European soccer players. Int. J. Sports Sci. Coach. 12(5), 1–8 (2017)CrossRefGoogle Scholar
  24. 24.
    Owen, A.L., Dunlop, G., Rouissi, M., Haddad, M., Mendes, B., Chamari, K.: Analysis of positional training loads (ratings of perceived exertion) during various-sided games in European professional soccer players. Int. J. Sports Sci. Coach. 11(3), 1–8 (2016). https://doi.org/10.1177/1747954116644064

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Filipe Manuel Clemente
    • 1
    • 2
  • Adam Owen
    • 3
  • Aida Mustapha
    • 4
  • Cornelis M. I. (Niels) van der Linden
    • 5
  • João Ribeiro
    • 6
  • Bruno Mendes
    • 7
  • Jelle Reichert
    • 5
  1. 1.School of Sport and LeisureViana do Castelo Polytechnic InstituteMelgaçoPortugal
  2. 2.Instituto de Telecomunicações, Delegação da CovilhãCovilhãPortugal
  3. 3.Centre de Recherche et d’Innovation sur le SportLyonFrance
  4. 4.Faculty of Computer Science and Information TechnologyUniversiti Tun Hussein Onn MalaysiaParit RajaMalaysia
  5. 5.Department of Sports SciencesJOHAN SportsNoordwijkThe Netherlands
  6. 6.Gabinete de Otimização Desportiva, Sporting Clube de BragaBragaPortugal
  7. 7.BenficaLab, Sport Lisboa e BenficaLisbonPortugal

Personalised recommendations