1. bookVolume 27 (2011): Issue 2011 (March 2011)
Journal Details
License
Format
Journal
eISSN
1899-7562
ISSN
1640-5544
First Published
13 Jan 2009
Publication timeframe
5 times per year
Languages
English
access type Open Access

Differences in performance indicators between winning and losing teams in the UEFA Champions League

Published Online: 06 Apr 2011
Volume & Issue: Volume 27 (2011) - Issue 2011 (March 2011)
Page range: 135 - 146
Journal Details
License
Format
Journal
eISSN
1899-7562
ISSN
1640-5544
First Published
13 Jan 2009
Publication timeframe
5 times per year
Languages
English
Differences in performance indicators between winning and losing teams in the UEFA Champions League

The aim of the present study was to identify performance indicators that discriminate winning teams from drawing and losing teams in the UEFA Champions League. All 288 matches played at the group stage in the 2007-2008, 2008-2009, and 2009-2010 seasons were analyzed. The game-related statistics gathered were: total shots, shots on goal, effectiveness, passes, successful passes, crosses, offsides committed and received, corners, ball possession, crosses against, fouls committed and received, corners against, yellow and red cards, venue, and quality of opposition. Data were analyzed performing a one-way ANOVA and a discriminant analysis. The results showed that winning teams had significantly higher average values that were for the following game statistics: total shots (p<0.01), shots on goal (p<0.01), effectiveness (p<0.01), passes (p<0.05), successful passes (p<0.05), and ball possession (p<0.05). Losing teams had significantly higher values in the variable yellow cards (p<0.01), and red cards (p<0.01). Discriminant analysis allowed to conclude the following: the variables that discriminate between winning, drawing and losing teams were the shots on goal, crosses, ball possession, venue and quality of opposition. Coaches and players should be aware of these different profiles in order to increase knowledge about game cognitive and motor solicitation and, therefore, to design and evaluate practices and competitions for soccer peak performance teams in a collective way.

Keywords

Armatas V, Yannakos A, Zaggelidis G, Skoufas D, Papadopoulou S, Fragkos N. Differences in offensive actions between top and last teams in Greek first soccer division. J Phys Educ Sport, 2009. 23(2): 1-5.Search in Google Scholar

Carling C, Reilly T, Williams A. Performance assessment for field sports, London: Routledge, 2009.10.4324/9780203890691Search in Google Scholar

Carling C, Williams A, Reilly T. The handbook of soccer match analysis, London: Routledge, 2005.Search in Google Scholar

Ensum J, Taylor S, Williams M. A quantitative analysis of attacking set plays. Insight, 2002. 4(5): 68-72.Search in Google Scholar

Grant AG, Williams AM, Reilly T. Analysis of the goals scored in the 1998 World Cup. J Sport Sci, 1999. 17(10): 826-827.Search in Google Scholar

Griffiths DW. An analysis of France and their opponents at the 1998 soccer World Cup with specific reference to playing patterns. PhD thesis, Cardiff: University of Wales Institute, 1999.Search in Google Scholar

Gómez M, Álvaro J, Barriopedro MI. Behaviour patterns of finishing plays in female and male soccer. Kronos: la revista científica de actividad física y deporte, 2009a. 8(15): 15-24. (In Spanish: English abstract).Search in Google Scholar

Gómez M, Álvaro J, Barriopedro MI. Differences in playing actions between men and women in elite soccer teams. In A Hökelmann, K White, P O Donoghue (eds): Current trends in performance analysis. World Congress of Performance Analysis of Sports VIII. Magdebourg: Shaker Verlag, 2009b, pp 50-51.Search in Google Scholar

Hook C, Hughes M. Patterns of play leading to shots in Euro 2000. In M Hughes, I Franks (eds): Pass. Com. Cardiff: Center for Performance Analysis, UWIC, 2001, pp 295-302.Search in Google Scholar

Horn R, Williams M, Ensum J. Attacking in central areas: A preliminary analysis of attacking play in the 2001/2002 FA Premiership season. Insight, 2002. 3: 31-34.Search in Google Scholar

Hughes MD, Bartlett RM. The use of performance indicators in performance analysis. J Sport Sci, 2002. 20(10): 739-754.10.1080/02640410232067560212363292Search in Google Scholar

Hughes MD, Churchill S. Attacking profiles of successful and unsuccessful team in Copa America 2001. In T Reilly, J Cabri, D Araújo (eds): Science and Football V. London and New York: Routledge, 2005, pp 219-224.Search in Google Scholar

Hughes MD, Cooper S, Nevill A. Analysis procedures for non-parametric data from performance analysis. Int J Perform Analysis Sport, 2002. 2(1): 6-20.10.1080/24748668.2002.11868257Search in Google Scholar

Hughes MD, Evans S, Wells J. Establishing normative profiles in performance analysis. Int J Perform Analysis Sport, 2001. 1(1): 1-26.10.1080/24748668.2001.11868245Search in Google Scholar

Hughes M, Franks IM. Notational Analysis of Sport, London: E & FN Spon, 1997.Search in Google Scholar

Hughes MD, Franks I. Analysis of passing sequences, shots and goals in soccer. J Sport Sci, 2005. 23(5): 509-514.10.1080/0264041041000171677916194998Search in Google Scholar

Hughes M, Robertson K, Nicholson A. Comparison of patterns of play of successful and unsuccessful teams in the 1986 World Cup for soccer. In T Reilly, A Lees, K Davis, W Murphy (eds): Science and Football. London: E. & F. N. Spon, 1988, pp 363-367.Search in Google Scholar

Jones P, James N, Mellalieu SD. Possession as a Performance Indicator in Soccer. Int J Perform Analysis Sport, 2004. 4(1): 98-102.10.1080/24748668.2004.11868295Search in Google Scholar

Konstadinidou X, Tsigilis N. Offensive playing profiles of football teams from the 1999 Women's World Cup Finals. Int J Perform Analysis Sport, 2005. 5(1): 61-71.10.1080/24748668.2005.11868316Search in Google Scholar

Lago, C. Consequences of a busy soccer match schedule on team performance: empirical evidence from Spain. Int Sport Med J, 2009. 10(2): 86-92.Search in Google Scholar

Lago C, Martin R. Determinants of possession of the ball in soccer. J Sport Sci, 2007. 25(9): 969-974.10.1080/0264041060094462617497397Search in Google Scholar

Lago C, Lago J, Dellal A, Gomez M. Game-related statistics that discriminated winning, drawing and losing teams from the Spanish soccer league, J Sport Sci Med, 2010. 9(2): 288-293.Search in Google Scholar

Low D, Taylor S, Williams M. A quantitative analysis of successful and unsuccessful teams. Insight, 2002. 4(5): 32-34.Search in Google Scholar

O'Donoghue P. Normative profiles of sports performance. Int J Perform Analysis Sport, 2005. 5(1): 104-119.10.1080/24748668.2005.11868319Search in Google Scholar

Ortega E, Villarejo D, Palao JM. Differences in game statistics between winning and losing rugby teams in the Six Nations Tournament. J Sport Sci Med, 2009. 8(4): 523-527.Search in Google Scholar

Pollard R. Charles Reep (1904-2002): Pioneer of notational and performance analysis in football. J Sport Sci, 2002. 20(10): 853-855.10.1080/026404102320675684Search in Google Scholar

Scoulding A, James N, Taylor J. Passing in the soccer World Cup 2002. Int J Perform Analysis Sport, 2004. 4(2): 36-41.10.1080/24748668.2004.11868302Search in Google Scholar

Sola-Garrido R, Liern V, Martínez A, Boscá J. Analysis and evolution of efficiency in the Spanish soccer league (2000/01-2007/08). J Quant Analysis Sport, 2009. 5(1): 34-37.10.2202/1559-0410.1143Search in Google Scholar

Stanhope J. An investigation into possession with respect to time, in the soccer World Cup 1994. In M Hughes (ed): Notational Analysis of Sport III. Cardiff: Centre for Performance Analysis, UWIC, 2001, pp 155-162.Search in Google Scholar

Szwarc A. Effectiveness of Brazilian and German teams and the teams defeated by them during the 17th Fifa World Cup. Kinesiology, 2004. 36(1): 83-89.Search in Google Scholar

Taylor JB, Mellalieu SD, James N, Shearer D. The influence of match location, qualify of opposition and match status on technical performance in professional association football. J Sport Sci, 2008. 26(9): 885-895.10.1080/0264041070183688718569554Search in Google Scholar

Taylor S, Williams M. A Quantitative analysis of Brazil's performances. Insight, 2002. 5(4): 28-30.Search in Google Scholar

Tabachnick BG, Fidell LS. Using multivariate statistics, 5th ed, Boston: Allyn and Bacon, 2007.Search in Google Scholar

Tucker W, Mellalieu SD, James N, Taylor JB. Game location effects in professional soccer. A case study. Int J Peform Analysis Sport, 2005. 5(2): 23-35.10.1080/24748668.2005.11868325Search in Google Scholar

Yamanaka K, Hughes M, Lott M. An analysis of playing patterns in the 1990 World Cup for association football. In T Reilly, J Clarys, A Stibbe (eds): Science and Football II. London: E. & F. N. Spon, 1993, pp 206-214.Search in Google Scholar

Recommended articles from Trend MD

Plan your remote conference with Sciendo