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Using network metrics to investigate football team players’ connections : a pilot study
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Orientador(es)
Resumo(s)
The aim of this pilot study was propose a set of network methods to measure the specific properties of
football teams. These metrics were organized on “meso” and “micro” analysis levels. Five official matches of the same
team on the First Portuguese Football League were analyzed. An overall of 577 offensive plays were analyzed from the
five matches. From the adjacency matrices developed per each offensive play it were computed the scaled connectivity,
the clustering coefficient and the centroid significance and centroid conformity. Results showed that the highest values
of scaled connectivity were found in lateral defenders and central and midfielder players and the lowest values were
found in the striker and goalkeeper. The highest values of clustering coefficient were generally found in midfielders and
forwards. In addition, the centroid results showed that lateral and central defenders tend to be the centroid players in the
attacking process. In sum, this study showed that network metrics can be a powerful tool to help coaches to understanding
the specific team’s properties, thus supporting decision-making and improving sports training based on match analysis.
Descrição
Palavras-chave
match analysis football network metrics performance análise de jogo futebol network métricas rendimento
Contexto Educativo
Citação
Editora
UNESP