The interactions between two opposing teams lead to the emergence of unique game patterns. In volleyball, attack efficacy emerges as the strongest predictor of the final result and thus it becomes of foremost importance to understand which game patterns afford the attaining of higher attack efficacies. These rely on the quality of the setting action. In turn, the serve and the serve reception constrain the setter's actions and the attacker's efficacy. Therefore, the purpose of this study was to examine predictors of the setting zone in elite-level men's volleyball. Thirty-one matches of the 2007 World Cup were analyzed, in total 5117 rallies. The dependent variable was the setting zone, and the independent variables were the server player, serve type, serve direction, serve depth, reception zone, receiver player and reception type. Multinomial logistic regression was applied, in order to obtain the estimated likelihood of occurrence of the dependent variable, based on the values of the independent variables (p < 0.05). Only the serve direction showed not to be predictive of the setting zone. Concerning the remaining variables, the tennis jump serve, serves from the middle-player, deep serves, reception near the endline or sidelines, reception by the zone 4 attackers when in defensive zone, and low reception all proved to impair the quality of reception, demanding the setter to play more often in the not acceptable setting zone. Results suggest that, at this level, practice of serve-reception should preferably cover the deep tennis jump serve, and attempt to afford the libero more opportunities to receive. By focusing on the variables with the most predictive power, performers may better allocate their attention towards the most pertinent cues at each moment. Knowledge of these interactive models provides valuable insights into the dynamics of the action sequences, affording coaches important information and guidance. Key pointsA set of key variables interact and allow predicting the setting zone, an important variable in determining attack efficacy in high-level men's volleyball.The tennis jump serve, deep serves, receptions near the endline or sidelines, serves from the middle-players, receptions by the zone 4 attackers when in defensive zone, and low reception enhance the utilization of non-ideal setting zones.By focusing on the variables with the most predictive power, performers may better allocate their attention towards the most pertinent cues at each moment.Knowledge of these interactive models provides valuable insights into the dynamics of the action sequences, affording coaches important information and guidance.
Keywords: Notational analysis; performance; predictive models.