Effects of game location and final outcome on game-related statistics in each zone of the pitch in professional football

Abstract The aim of this large-scale study of elite professional football teams was to identify the independent and interactive effects of game location and final outcome on football game-related statistics according to the zone of the pitch in which they occurred. The sample consisted of 1900 games played over five seasons (from 2003–2004 to 2007–2008) of the Spanish Professional Football League. Factor analysis with principal components was applied to the game-related statistics recorded from the games, which limited the analysis to four factors (Factor 1: Turnovers in zone 5.2 and Crosses in zone 4; Factor 2: Goals and shots in zone 5.1, Turnovers in zone 4, and Ball recover in zone 2; Factor 3: Goals and shots in zone 5.2; and Factor 4: Turnovers in zone 5.1). Zone 2 was between the defensive semi-circle area and midfield circle, Zone 4 was between the midfield circle and offensive semi-circle area, Zone 5.1 was the offensive goal area, and Zone 5.2 was the offensive small area). A mixed linear model was applied to identify the effects of game location and final outcome on the previously identified factors. Game location and final outcome main effects were identified for all factors, with home and winning teams having better values. The interaction Location×Outcome was only significant for Factor 4 (Turnovers in zone 5.1). When playing at home, teams had higher frequencies for all analysed variables, probably resulting from home advantage factors such as facility familiarity and/or crowd. Additionally, winning teams’ exhibited different and consistent profiles from drawing and losing teams, mainly discriminated by their ability to recover the ball in Zone 2 and to organize the offence using penetrative passes to Zones 5.2 and 5.1 to increase the number of shots and consequently goals. The trends identified may provide important information for modelling high-level performances.

[1]  P. Varca,et al.  An Analysis of Home and Away Game Performance of Male College Basketball Teams , 1980 .

[2]  Paul Godbout,et al.  Performance assessment in team sports. , 1997 .

[3]  E. Zubritsky Analysis at home. , 1999, Analytical chemistry.

[4]  Will G. Hopkins,et al.  A new view of statistics , 2002 .

[5]  Ian M. Franks,et al.  The science of match analysis , 2003 .

[6]  Nic James,et al.  Possession as a performance indicator in soccer. , 2004 .

[7]  Nic James,et al.  Game Location Effects in Professional Soccer: A Case Study , 2005 .

[8]  Peter O’Donoghue,et al.  Development and application of computer-based prediction methods , 2005 .

[9]  Richard Pollard,et al.  Worldwide regional variations in home advantage in association football , 2006, Journal of sports sciences.

[10]  Thomas Reilly,et al.  Handbook of Soccer Match Analysis: A Systematic Approach to Improving Performance , 2006 .

[11]  Carlos Lago,et al.  Determinants of possession of the ball in soccer , 2007, Journal of sports sciences.

[12]  Jaime Sampaio,et al.  Game location influences basketball players' performance across playing positions. , 2008 .

[13]  José M. Palao,et al.  Analysis of goalkeepers’ defence in the World Cup in Korea and Japan in 2002 , 2008 .

[14]  Nic James,et al.  The influence of match location, quality of opposition, and match status on technical performance in professional association football , 2008, Journal of sports sciences.

[15]  Miguel-Ángel Gómez,et al.  Home advantage in football in South-West Europe: Long-term trends, regional variation, and team differences , 2009 .

[16]  Miguel-Ángel Gómez,et al.  An Analysis of Home Advantage in the Top Two Spanish Professional Football Leagues , 2009, Perceptual and motor skills.

[17]  Consequences of a busy soccer match schedule on team performance : empirical evidence from Spain : original research article , 2009 .

[18]  Carlos Lago,et al.  The influence of match location, quality of opposition, and match status on possession strategies in professional association football , 2009, Journal of sports sciences.

[19]  R. Bahr,et al.  Effect of playing tactics on goal scoring in Norwegian professional soccer , 2010, Journal of sports sciences.

[20]  Carlos Lago-Peñas,et al.  Game-Related Statistics that Discriminated Winning, Drawing and Losing Teams from the Spanish Soccer League. , 2010, Journal of sports science & medicine.

[21]  Jaime Sampaio,et al.  Effects of season period, team quality, and playing time on basketball players' game-related statistics , 2010 .