Opin vísindi

How Game Location Affects Soccer Performance: T-Pattern Analysis of Attack Actions in Home and Away Matches

How Game Location Affects Soccer Performance: T-Pattern Analysis of Attack Actions in Home and Away Matches


Titill: How Game Location Affects Soccer Performance: T-Pattern Analysis of Attack Actions in Home and Away Matches
Höfundur: Diana, Barbara
Zurloni, Valentino
Elia, Massimiliano
Cavalera, Cesare M.
Jonsson, Gudberg Konrad   orcid.org/0000-0003-3221-5447
Anguera, M. Teresa
Útgáfa: 2017-08-21
Tungumál: Enska
Umfang: 1415
Háskóli/Stofnun: Háskóli Íslands
University of Iceland
Deild: Rannsóknastofa um mannlegt atferli (HÍ)
Human Behaviour Laboratory (UI)
Birtist í: Frontiers in Psychology;8
ISSN: 1664-1078
DOI: 10.3389/fpsyg.2017.01415
Efnisorð: Observational data; T-Patterns; Sport performance analysis; Game location; Soccer; Knattspyrna; Aðferðafræði; Atferli; Atferlissálfræði
URI: https://hdl.handle.net/20.500.11815/423

Skoða fulla færslu

Tilvitnun:

Diana, B., Zurloni, V., Elia, M., Cavalera, C. M., Jonsson, G. K., & Anguera, M. T. (2017). How Game Location Affects Soccer Performance: T-Pattern Analysis of Attack Actions in Home and Away Matches. Frontiers in Psychology, 8(1415). doi:10.3389/fpsyg.2017.01415

Útdráttur:

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.

Leyfi:

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

Skrár

Þetta verk birtist í eftirfarandi safni/söfnum:


Fletta

Um vefinn

Reikningurinn minn