Estruturação ofensiva no voleibol masculino de alto nível: análise em função da zona do ataque

Costa, Gustavo De Conti Teixeira; Maia, Mariana Pereira; Capuzzo, Juliano; Evangelista, Breno Ferreira de Britto; Freire, Auro Barreiros; Nora, Fernanda Grazielle da Silva Azevedo; Campos, Mário Hebling; Ugrinowitsch, Herbert

doi:10.5007/1980-0037.2016v18n5p611

Cited by 3 publications

(3 citation statements)

References 16 publications

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“…Furthermore, across the analyzed teams, there is a clear preference to play from the center of the court forward of the setter, that is, to set to zones 3, 4, and 6, allowing greater predictability at the location of the setting. These results corroborate the existing literature, as Brazilian teams predominantly employ attackers from the net, preferably with attacks from zone 4 and zone 3, while at the same time avoiding setting for attackers from the backcourt [19,20,34,39,49,67,68]. In this sense, it is observed that teams rarely use the attack from the backcourt, and when they do use it, it occurs more in zone 6 [39,67,68], reducing the occurrence of plays that allow offensive numerical superiority in the same area of the court, as occurs in the pipe [10,29,69].…”

Section: Discussionsupporting

confidence: 90%

“…These results corroborate the existing literature, as Brazilian teams predominantly employ attackers from the net, preferably with attacks from zone 4 and zone 3, while at the same time avoiding setting for attackers from the backcourt [19,20,34,39,49,67,68]. In this sense, it is observed that teams rarely use the attack from the backcourt, and when they do use it, it occurs more in zone 6 [39,67,68], reducing the occurrence of plays that allow offensive numerical superiority in the same area of the court, as occurs in the pipe [10,29,69]. In this context, teams appear to adopt a less risky and more conservative approach, avoiding backcourt attacks and favoring a style of play with attackers at the net to enhance unpredictability.…”

Section: Discussionsupporting

confidence: 90%

“…In this context, the analysis of Complex I in volleyball underscores a relationship between reception and subsequent actions, such as the setting effectiveness [3,32], attack tempo [4,31,33], attack effect [10,19,33,34], and blocker number [4,9,33]. Furthermore, several studies indicate an association or prediction [23,24,33,[35][36][37] between the game actions of complex I, highlighting that receptions that allow an organized attack, quick settings, and powerful attacks culminate in attack point [33,[38][39][40].…”

Section: Introductionmentioning

confidence: 99%

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Social Network Analysis: Understanding Volleyball Dynamics through Match Opponents

do Nascimento,

Castro,

Rocha

et al. 2024

Applied Sciences

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The current investigation scrutinized the strategic approaches employed by the top four teams in the Brazilian Men’s Volleyball Superliga, according to the match’s opponent. The study encompasses the analysis of 22 matches, involving teams ranked first through fourth, competing against each of the 12 teams participating in the 21–22 season of the Brazilian Men’s Volleyball Superliga, including one home and one away match for each team. Social network analysis facilitated the identification of the interconnections and particularities among all variables, offering a comprehensive perspective. The findings unveiled that during the offensive phase, the second-, third-, and fourth-ranked teams consistently exhibited higher eigenvector values, irrespective of the opposing team, notably when the middle-blocker positioned themselves in front and near the setter. Conversely, the championship-winning team displayed variations in offensive tactics. The team securing the second position demonstrated alterations in setting placement, whereas the other teams executed settings aimed at zones 3 and 4. Additionally, the initial setter’s position at the commencement of a rally displayed varying eigenvector values based on the opponent, indicating team rotation as a performance determinant. Thus, barring the finalist team, the performance of the remaining teams is intricately intertwined with the individual characteristics of players.

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Section: Discussionsupporting

confidence: 90%

Section: Discussionsupporting

confidence: 90%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Social Network Analysis: Understanding Volleyball Dynamics through Match Opponents

do Nascimento,

Castro,

Rocha

et al. 2024

Applied Sciences

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Brazilian high-level men’s volleyball

Conti

Freire

Evangelista

et al. 2018

Kinesiology (Zagreb, Online)

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Abstract:The present study aimed to characterize and differentiate between the predictive factors of the attacks performed by the opposite player from positions 1 and 2. The sample consisted of the observation records of 142 volleyball games of the Brazilian Men's Super-League, season 2014/2015, totaling in 8,010 actions of reception, setting and attack, with 5,965 actions from position 2 and 2,045 from position 1. The analysis of the predictive factors of the opposite player's attack, according to the position of the attack, showed that the attacks from position 2 were more likely to occur after reception B (OR:1.317), in either diagonal (OR:1.302) or parallel (OR: 1.548), and to result in blocking of the attack (OR:1.496). On the other hand, attacks performed from position 1 were more likely to occur after receiving A (OR:0.458) resulting in a point (OR:0.709). Thus, situational constraints influenced the predictive factors of the opposite player's attack, according to the attacking position.

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

Rocha

Pedrosa²,

Freire

et al. 2020

Kinesiology (Zagreb, Online)

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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.

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Estruturação ofensiva no voleibol masculino de alto nível: análise em função da zona do ataque

Cited by 3 publications

References 16 publications

Social Network Analysis: Understanding Volleyball Dynamics through Match Opponents

Social Network Analysis: Understanding Volleyball Dynamics through Match Opponents

Brazilian high-level men’s volleyball

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

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