Mapeamento sistémico do jogo de Voleibol feminino no alto nível através da análise de redes sociais

Abstract

In any given sports competition there are dynamic tasks being carried out in a complex and systemic reality, which involves several subjects acting in a high-pressure competitive environment characterized by rapidly changing conditions of sporting performance. This reality is even more striking in team sports, bringing about the need for performance analysis in these sports to be less centred on the assessment of anthropometric, physiological and biomechanical parameters. Thus, because team sports imply an unavoidably more complex and intricate choice of performance indicators for analysis, a study of the latter that makes use of a theoretical framework aligned within the General Systems Theory such as the one presented in this work, becomes not only useful, but also advisable. The work presented here carried out an analysis of a collective sport - Indoor Volleyball - within the context of High Competition, as a way to contribute to a better understanding of the dynamics of the game in question. The studies presented here, by working within an approach to Sports as a complex system, used as a methodological tool the Social Network Analysis. Eight matches of the Volleyball Group Stage of the Women's Grand Prix 2015 (Groups A and B) were analysed. In these matches eigenvector centrality was measured for the various game complexes: K0 (service), KI (side-out), KII (side-out transition), KIII (transition), KIV (attack coverage) and KV (free-ball). Besides specific insights related to each of the complexes analysed, the main conclusion of thesis is asserting that the off-systems situations are a non-marginal dynamics of the game, and must thus be the object of more attention by the coaches in the development of their game strategies and planning. Future works within this type of systemic analysis and use of SNA might be further developed beyond the scope of the results of this study by making use of a register differentiation by sets, teams/national teams or even by players, producing a further enhanced understanding of the dynamics of the game.