Analysis of the setting and predictive factors of the effect of attack according to game ecology

Abstract

The objective of this study was to identify how the ecological variables influence the setter during the setting and what were the predictive factors of the attack effect among Brazilian teams ranked from the 1st to 4th place in the volleyball Women’s Super-League in 2016-2017. We analyzed 768 attacks from 10 matches played among the teams. A descriptive analysis was performed and, to identify how the setting location differed in relation to the ecological variables, the One-Way ANOVA (factor 1 = setting location) was used. In addition, multinomial logistic regression was performed to understand the predictive factors of the effect of the attack. The significance level was set at 5% (p≤.05) and the SPSS software version 20.0 was used. The results showed the setting location differed according to the distance between the setter and the central attacker, the distance between the setter and the central blocker, and the distance between the setter and the blocker of position 4. Besides, it was observed that the powerful attack and the blocking touch were predictive factors of the effect of the attack. Thus, it is concluded that the decision-making for the action of the setting is based on the availability of the central attacker and the configuration of the blockers, the powerful attack reduces the chances of defense and the blocking touch reduces the chances of scoring by attacking.

Inter e intra-variability of the best ranked teams: A network analysis in male high-level volleyball

“…The reception micro-analysis confirms the game trend existing in high-level volleyball, in which it is necessary that the serve restricts the offensive construction [ 18 , 46 ]. Therefore, directing the serve in more distant zones of the net and in the net outside hitter showed a decrease in the offensive structuring, as well as reducing the reception effect [ 22 , 43 ].…”

“…Therefore, opponent blocking was analyzed as it interferes with the attacker behavior and the offensive construction in KI. Blocking were classified as: Triple (1x3), Triple Broken (1x(2 + 1)); Double (1x2), Double Broken (1x (1 + 1)), Single [1x1], No Block by Setter Merit (NO BLOCK +); and No Block by Setter Error (NO BLOCK -) [ 43 ]. Block Touch as computed with the attack contact by the block, as follows: the ball attacked Touched the Block (Block-T) or the ball attacked did not touch the block (Block-NT).…”

Strength Abilities and Serve Reception Efficiency of Youth Female Volleyball Players

“…Therefore, this age period is very important for young volleyball players. Currently, studies have evaluated selected motor abilities of female volleyball players [ 31 , 32 ] or the efficiency of actions during a game with senior players [ 2 , 33 ]. Anthropometric parameters and motor tests results are decisive factors for the selection of youth national female volleyball teams [ 34 ].…”

Setting distribution analysis in elite-level men's volleyball: an ecological approach

“…In contrast, for the distance between the setter and the attacker in position 2 or 1, negative values were assigned. The distances were calculated the instant the ball left the setter's hands and were measured from the shortest distance between the projection of the setter's hip and the attackers and blockers at the lower edge of the net (Rocha et al 2020). Kinovea software (version 0.9.2) was used to this end.…”

“…The center of the blockers and attackers heads was also projected on this axis of reference, and for lifters and blockers, the distance was measured at the moment of lifting (the last frame in which the ball was in contact with the lifter's hand). In the case of the attackers, the video was advanced until the moment of contact of the attacker's hand with the ball (Rocha et al, 2020).…”