How Game Location Affects Soccer Performance: T-Pattern Analysis of Attack Actions in Home and Away Matches - PubMed (original) (raw)
How Game Location Affects Soccer Performance: T-Pattern Analysis of Attack Actions in Home and Away Matches
Barbara Diana et al. Front Psychol. 2017.
Abstract
The influence of game location on performance has been widely examined in sport contexts. Concerning soccer, game-location affects positively the secondary and tertiary level of performance; however, there are fewer evidences about its effect on game structure (primary level of performance). This study aimed to detect the effect of game location on a primary level of performance in soccer. In particular, the objective was to reveal the hidden structures underlying the attack actions, in both home and away matches played by a top club (Serie A 2012/2013-First Leg). The methodological approach was based on systematic observation, supported by digital recordings and T-pattern analysis. Data were analyzed with THEME 6.0 software. A quantitative analysis, with nonparametric Mann-Whitney test and descriptive statistics, was carried out to test the hypotheses. A qualitative analysis on complex patterns was performed to get in-depth information on the game structure. This study showed that game tactics were significantly different, with home matches characterized by a more structured and varied game than away matches. In particular, a higher number of different patterns, with a higher level of complexity and including more unique behaviors was detected in home matches than in the away ones. No significant differences were found in the number of events coded per game between the two conditions. THEME software, and the corresponding T-pattern detection algorithm, enhance research opportunities by going further than frequency-based analyses, making this method an effective tool in supporting sport performance analysis and training.
Keywords: T-Patterns; analysis of observational data; game location; soccer; sport performance analysis.
Figures
Figure 1
Observation instrument.
Figure 2
Zones and lateral positions. Adapted from Camerino et al. (2012).
Figure 3
The most complex T-pattern from home matches. It occurred in 80% of the games analyzed. Events are (1) o,le,kb; (2) uo,le,kb; (3) uo,le,uop,cep; (4) uo,ce,pl; (5) uo,ri,uop,cep; (6) uo,ce,ml; (7) uo,ri,ck; (8) uo,ri,uop,cep; (9) uo,ce,ml; and (10) uo,ce,pl.
Figure 4
The most complex T-pattern from away matches. It occurred in over 80% of the games analyzed. Events are (1) o,ce,op,cep; (2) uo,ce,ml; (3) uo,ri,ck; (4) uo,ri,uop,cep; and (5) uo,ce,ml.
Figure 5
One of the most complex T-patterns from home matches with a NoGoal. It occurred in 80% of the games analyzed. Events are (1) uo,le,kb; (2) uo,le,uop,cep; (3) uo,ce,ml; (4) o,ce,r; and (5) o,ce,ng.
Figure 6
The most complex T-pattern from away matches with a NoGoal. It occurred in over 80% of the games analyzed. Events are (1) o,ce,ml; (2) o,ce,r; (3) o,ce,op,cep; and (4) o,ce,ng.
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