Your browser doesn't support javascript.
loading
How Game Location Affects Soccer Performance: T-Pattern Analysis of Attack Actions in Home and Away Matches.
Diana, Barbara; Zurloni, Valentino; Elia, Massimiliano; Cavalera, Cesare M; Jonsson, Gudberg K; Anguera, M Teresa.
Afiliación
  • Diana B; Human Sciences for Education Department, University of Milano-BicoccaMilan, Italy.
  • Zurloni V; Human Sciences for Education Department, University of Milano-BicoccaMilan, Italy.
  • Elia M; Human Sciences for Education Department, University of Milano-BicoccaMilan, Italy.
  • Cavalera CM; Department of Psychology, Catholic University of the Sacred HeartMilan, Italy.
  • Jonsson GK; Human Behavior Laboratory, University of IcelandReykjavik, Iceland.
  • Anguera MT; Faculty of Psychology, University of BarcelonaBarcelona, Spain.
Front Psychol ; 8: 1415, 2017.
Article en En | MEDLINE | ID: mdl-28878712
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.
Palabras clave
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Qualitative_research Idioma: En Revista: Front Psychol Año: 2017 Tipo del documento: Article País de afiliación: Italia Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Qualitative_research Idioma: En Revista: Front Psychol Año: 2017 Tipo del documento: Article País de afiliación: Italia Pais de publicación: Suiza