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<dc:title>Match analysis in wheelchair basketball: An observational analysis of the best team in the world (USA) in the 2020 Paralympic Games</dc:title>
<dc:creator>Arroyo del Bosque, Rubén</dc:creator>
<dc:creator>Alsasua, Roberto</dc:creator>
<dc:creator>Arana, Javier</dc:creator>
<dc:creator>Lapresa Ajamil, Daniel</dc:creator>
<dc:creator>Anguera, María Teresa</dc:creator>
<dcterms:abstract>This work shows the possibilities that observational analysis can offer to match analysis in Wheelchair Basketball, outlined in a study of the sequences that end in a shot, in the men's team considered to be the best in the world (USA), in the Tokyo Paralympic Games 2020. Data recording and coding the 527 sequences that end in a shot was carried out via the LINCE software, and inter-rater reliability guaranteed using Cohen's Kappa coefficient. Two diachronic behaviour analysis techniques – lag sequential analysis and T-pattern detection – were applied complementarily, thus allowing us to characterise effective and ineffective sequences. Effective behaviours are highlighted as being those which incorporate a final reception and shot by players with less functional limitation; or those in which the shot is made from the paint. Ineffective behaviours are those carried out by players with greater functional difficulty; or those which end in shots made from the offensive zone and external offensive zone.</dcterms:abstract>
<dcterms:dateAccepted>2025-05-15T10:44:59Z</dcterms:dateAccepted>
<dcterms:available>2025-05-15T10:44:59Z</dcterms:available>
<dcterms:created>2025-05-15T10:44:59Z</dcterms:created>
<dcterms:issued>2023-06</dcterms:issued>
<dc:type>info:eu-repo/semantics/article</dc:type>
<dc:identifier>1747-9541</dc:identifier>
<dc:identifier>http://hdl.handle.net/10259/10472</dc:identifier>
<dc:identifier>10.1177/17479541231181616</dc:identifier>
<dc:identifier>2048-397X</dc:identifier>
<dc:language>eng</dc:language>
<dc:relation>International Journal of Sports Science &amp; Coaching. 2023, V. 19, n. 3, p. 1112-1122</dc:relation>
<dc:relation>https://doi.org/10.1177/17479541231181616</dc:relation>
<dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
<dc:publisher>Sage publications</dc:publisher>
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