1,211
Views
29
CrossRef citations to date
0
Altmetric
Research Articles

Comparisons of ball possession, match running performance, player prominence and team network properties according to match outcome and playing formation during the 2018 FIFA World Cup

ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon, , , , ORCID Icon, ORCID Icon & ORCID Icon show all
Pages 1026-1037 | Received 30 Jul 2019, Accepted 09 Sep 2019, Published online: 10 Nov 2019

References

  • Aquino, R., Puggina, E. F., Alves, I. S., & Garganta, J. (2017). Skill-related performance in soccer: A systematic review. Human Movement, 18(5), 3–24.
  • Argilaga, M. T. A., Villaseñor, A. B., Mendo, A. H., & López, J. L. L. (2011). Diseños observacionales: Ajuste y aplicación en psicología del deporte. Cuadernos De Psicología Del Deporte (In Spanish: English abstract), 11(2), 63–76.
  • Bloomfield, J., Polman, R., & O’Donoghue, P. (2005). Effects of score-line on intensity of play in midfield and forward players in the FA Premier League. Journal of Sports Sciences, 23(2), 191–192.
  • Bradley, P. S., Carling, C., Archer, D., Roberts, J., Dodds, A., Di Mascio, M., … Krustrup, P. (2011). The effect of playing formation on high-intensity running and technical profiles in English FA Premier League soccer matches. Journal of Sports Sciences, 29(8), 821–830.
  • Bradley, P. S., & Noakes, T. D. (2013). Match running performance fluctuations in elite soccer: Indicative of fatigue, pacing or situational influences? Journal of Sports Sciences, 31(15), 1627–1638.
  • Carling, C. (2013). Interpreting physical performance in professional soccer match-play: Should we be more pragmatic in our approach? Sports Medicine, 43(8), 655–663.
  • Carling, C., Reilly, T., & Williams, A. M. (2008). Performance assessment for field sports. Abingdon: Routledge.
  • Castellano, J., Blanco-Villaseñor, A., & Alvarez, D. (2011). Contextual variables and time-motion analysis in soccer. International Journal of Sports Medicine, 32(6), 415–421.
  • Castellano, J., & Echeazarra, I. (2019). Network-based centrality measures and physical demands in football regarding player position: Is there a connection? A preliminary study. Journal of Sports Sciences. Advance online publication. doi: 10.1080/02640414.2019.1589919.
  • Clemente, F. M. (2018). Performance outcomes and their associations with network measures during FIFA World Cup 2018. International Journal of Performance Analysis in Sport, 18(6), 1010–1023.
  • Clemente, F. M., Martins, F. M. L., Kalamaras, D., Wong, P. D., & Mendes, R. S. (2015). General network analysis of national soccer teams in FIFA World Cup 2014. International Journal of Performance Analysis in Sport, 15(1), 80–96.
  • Clemente, F. M., Martins, F. M. L., & Mendes, R. S. (2016). Social network analysis applied to team sports analysis. New York: Springer.
  • Clemente, F. M., Martins, F. M. L., Wong, P. D., Kalamaras, D., & Mendes, R. S. (2015). Midfielder as the prominent participant in the building attack: A network analysis of national teams in FIFA World Cup 2014. International Journal of Performance Analysis in Sport, 15(2), 704–722.
  • Cohen, J. (1988). Statistical Power Analysis for the Behavioural Sciences (2nd ed.). New York: Routledge.
  • Collet, C. (2013). The possession game? A comparative analysis of ball retention and team success in European and international football, 2007–2010. Journal of Sports Sciences, 31(2), 123–136.
  • Couceiro, M. S., Dias, G., Araújo, D., & Davids, K. (2016). The ARCANE project: How an ecological dynamics framework can enhance performance assessment and prediction in football. Sports Medicine, 46(12), 1781–1786.
  • da Mota, G. R., Thiengo, C. R., Gimenes, S. V., & Bradley, P. S. (2016). The effects of ball possession status on physical and technical indicators during the 2014 FIFA World Cup Finals. Journal of Sports Sciences, 34(6), 493–500.
  • FIFA. (2018). FIFA World Cup Russia 2018. Available at: https://www.fifa.com/worldcup/(accessed August 20, 2018).
  • Freeman, L. (2004). The development of social network analysis: A study in the Sociology of Science. Vancouver: Empirical Press.
  • Glazier, P. S. (2010). Game, set and match? Substantive issues and future directions in performance analysis. Sports Medicine, 40(8), 625–634.
  • Grund, T. U. (2012). Network structure and team performance: The case of English Premier League soccer teams. Social Networks, 34(4), 682–690.
  • Hopkins, W. G. (2000). Measures of reliability in sports medicine and science. Sports Medicine, 30(1), 1–15.
  • Lago, C., Casais, L., Dominguez, E., & Sampaio, J. (2010). The effects of situational variables on distance covered at various speeds in elite soccer. European Journal of Sport Science, 10(2), 103–109.
  • Linke, D., Link, D., & Lames, M. (2018). Validation of electronic performance and tracking systems EPTS under field conditions. PloS One, 13(7), e0199519.
  • Mclean, S., Salmon, P. M., Gorman, A. D., Stevens, N. J., & Solomon, C. (2018). A social network analysis of the goal scoring passing networks of the 2016 European Football Championships. Human Movement Science, 57, 400–408.
  • Paul, D. J., Bradley, P. S., & Nassis, G. P. (2015). Factors affecting match running performance of elite soccer players: Shedding some light on the complexity. International Journal of Sports Physiology and Performance, 10(4), 516–519.
  • Pina, T. J., Paulo, A., & Araújo, D. (2017). Network characteristics of successful performance in association football. A study on the UEFA Champions League. Frontiers in Psychology, 8, 1173.
  • Praça, G. M., Lima, B. B., Bredt, S. G. T., Clemente, F. M., & Andrade, A. G. (2019). Influence of match status on players’ prominence and teams’ network properties during 2018 FIFA World Cup. Frontiers in Psychology, 10, 695.
  • Ribeiro, J., Davids, K., Araújo, D., Silva, P., Ramos, J., Lopes, R., & Garganta, J. (2019). The role of hypernetworks as a multilevel methodology for modelling and understanding dynamics of team sports performance. Sports Medicine. Advance online publication. doi: 10.1007/s40279-019-01104-x.
  • Ribeiro, J., Silva, P., Duarte, R., Davids, K., & Garganta, J. (2017). Team sports performance analysed through the lens of social network theory: Implications for research and practice. Sports Medicine, 47(9), 1689–1696.
  • Vilar, L., Araújo, D., Davids, K., & Button, C. (2012). The role of ecological dynamics in analysing performance in team sports. Sports Medicine, 42(1), 1–10.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.