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http://hdl.handle.net/2445/121975
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DC Field | Value | Language |
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dc.contributor.author | Diana, Barbara | - |
dc.contributor.author | Zurloni, Valentino | - |
dc.contributor.author | Elia, Massimiliano | - |
dc.contributor.author | Cavalera, Cesare M. | - |
dc.contributor.author | Jonsson, Gudberg K. | - |
dc.contributor.author | Anguera Argilaga, María Teresa | - |
dc.date.accessioned | 2018-04-30T15:02:02Z | - |
dc.date.available | 2018-04-30T15:02:02Z | - |
dc.date.issued | 2017-08-21 | - |
dc.identifier.issn | 1664-1078 | - |
dc.identifier.uri | http://hdl.handle.net/2445/121975 | - |
dc.description.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 League). The methodological approach was based on observational design, supported by digital recordings and T-pattern analysis. Data were analyzed with Theme 6.0 software. A quantitative analysis, with nonparametric 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. 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. | - |
dc.format.extent | 11 p. | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | eng | - |
dc.publisher | Frontiers Media | - |
dc.relation.isformatof | Reproducció del document publicat a: https://doi.org/10.3389/fpsyg.2017.01415 | - |
dc.relation.ispartof | Frontiers in Psychology, 2017, vol. 8, num. 1415 | - |
dc.relation.uri | https://doi.org/10.3389/fpsyg.2017.01415 | - |
dc.rights | cc-by (c) Diana, Barbara et al., 2017 | - |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es | - |
dc.source | Articles publicats en revistes (Psicologia Social i Psicologia Quantitativa) | - |
dc.subject.classification | Observació (Mètode d'ensenyament) | - |
dc.subject.classification | Futbol | - |
dc.subject.other | Observation (Educational method) | - |
dc.subject.other | Soccer | - |
dc.title | How Game Location Affects Soccer Performance: T-Pattern Analysis of Attack Actions in Home and Away Matches | - |
dc.type | info:eu-repo/semantics/article | - |
dc.type | info:eu-repo/semantics/publishedVersion | - |
dc.identifier.idgrec | 673241 | - |
dc.date.updated | 2018-04-30T15:02:02Z | - |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | - |
dc.identifier.pmid | 28878712 | - |
Appears in Collections: | Articles publicats en revistes (Psicologia Social i Psicologia Quantitativa) |
Files in This Item:
File | Description | Size | Format | |
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673241.pdf | 2.59 MB | Adobe PDF | View/Open |
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