The cream of the crop: Analysing FIFA World Cup 2014 and Germany’s title run

Authors

  • Matthias Kempe German Sport University Cologne, Germany
  • Martin Vogelbein German Sport University Cologne, Germany
  • Stephan Nopp German Sport University Cologne, Germany

DOI:

https://doi.org/10.14198/jhse.2016.111.04

Keywords:

Performance analysis, Notational analysis, Offensive indicators, Defensive indicators

Abstract

Analysis of game related statistics provides opportunities to analyse the characteristics and tactical patterns of the teams in order to improve the quality of the training and quality of the opponent’s observation. The main objective of this study was to analyse performance parameters and characterize the most successful teams on FIFA World Cup 2014, in order to describe the most relevant parameters that can improve the efficacy of the teams. In addition, we analysed the winner of the FIFA World Cup 2014 in more detail to see if and in which ways they stood out within this tournament. Analyses of variance among groups of teams were made in order to characterize the performance parameters and find differences that can explain the efficacy of the teams on competition. The results of this study could show that successful teams score more goals through open play and via set pieces. As main difference, it could be found that successful teams had more high-percentage goal scoring opportunities within the penalty area. As a general pattern, teams attacked mostly on the left side of the pitch and through the middle        . The winner of the WC 2014 stood out with a high efficiency for creating high percentage goal scoring opportunities and in converting them. Germany also protruded with their free flowing and accurate passing to create their goal scoring chances. This separation in the passing statistics was quite outstanding as there was no overall difference between different success groups within the tournament.

Downloads

Download data is not yet available.

References

Akritas, M. G., & Papadatos, N. (2004). Heteroscedastic One-Way ANOVA and Lack-of-Fit Tests. Journal of the American Statistical Association, pp. 368–382. https://doi.org/10.1198/016214504000000412

Carling, C., Williams, A. M., & Reilly, T. (2005). Handbook of soccer match analysis: A systematic approach to improving performance. London, New York: Routledge. https://doi.org/10.4324/9780203448625

Clemente, F. M. (2012). Study of Successful Teams on FIFA World Cup 2010 through Notational Analysis. Pamukkale Journal of Sport Sciences, 3(3), 90–103. Retrieved from http://psbd.pau.edu.tr/index.php/pjss/article/view/112

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. https://doi.org/10.1080/02640414.2012.727455

Delgado-Bordonau, J. L., Domenech-Monforte, C., Guzmán, J. F., & Méndez-Villanueva, A. (2013). Offensive and defensive team performance: relation to successful and unsuccessful participation in the 2010 Soccer World Cup. Journal of Human Sport and Exercise, 8(4), 894–904. https://doi.org/10.4100/jhse.2013.84.02

Hughes, M., & Franks, I. (2005). Analysis of passing sequences, shots and goals in soccer. Journal of sports sciences, 23(5), 509–514. https://doi.org/10.1080/02640410410001716779

Kempe, M., Vogelbein, M., Memmert, D., & Stephan Nopp. (2014). Possession vs. Direct Play: Evaluating Tactical Behavior in Elite Soccer. International Journal of Sports Science, 4(6A), 35–41.

Lago-Penas, C., Lago-Ballesteros, J., Dellal, A., & Gomez, M. (2010). Game-Related Statistics that Discriminated Winning, Drawing and Losing Teams from the Spanish Soccer League. Journal of Sports Science & Medicine, 9(2), 288–293.

Lago-Pe-as, C., Lago-Ballesteros, J., & Rey, E. (2011). Differences in performance indicators between winning and losing teams in the UEFA Champions League. Journal of Human Kinetics, 27(-1). https://doi.org/10.2478/v10078-011-0011-3

Mackenzie, R., & Cushion, C. (2013). Performance analysis in football: A critical review and implications for future research. Journal of Sports Sciences, 31(6), 639–676. https://doi.org/10.1080/02640414.2012.746720

Miller, R. (1994). Charting to win. Scholastic coach and athletic director, 1(5), 62–65.

Moura, F. A., Martins, Luiz Eduardo Barreto, & Cunha, S. A. (2014). Analysis of football game-related statistics using multivariate techniques. Journal of sports sciences, 1–7. https://doi.org/10.1080/02640414.2013.853130

S. Nopp (2012). Direct vs Possession Play, Successful team tactic parameters in soccer at national and international level. German Sport University (Unpublished)

Sarmento, H., Marcelino, R., Anguera, M. T., Campaniço, J., Matos, N., & Leitão, J. C. (2014). Match analysis in football: a systematic review. Journal of sports sciences, 1–13. https://doi.org/10.1080/02640414.2014.898852

Wallace, J. L., & Norton, K. I. (2014). Evolution of World Cup soccer final games 1966-2010: game structure, speed and play patterns. Journal of science and medicine in sport / Sports Medicine Australia, 17(2), 223–228. https://doi.org/10.1016/j.jsams.2013.03.016

Statistics

Statistics RUA

Published

2016-12-25

How to Cite

Kempe, M., Vogelbein, M., & Nopp, S. (2016). The cream of the crop: Analysing FIFA World Cup 2014 and Germany’s title run. Journal of Human Sport and Exercise, 11(1), 42–52. https://doi.org/10.14198/jhse.2016.111.04

Issue

Section

Performance Analysis of Sport