Relation between In-Game Role and Service Characteristics in Elite Women's Volleyball

Quiroga, Miriam E.; García-Manso, Juan Manuel; Ruiz, David R. Yáñez; Ortega, Sebastián; Saa, Y. de; Arroyo, María Perla Moreno

doi:10.1519/jsc.0b013e3181e3812e

Cited by 42 publications

(48 citation statements)

References 7 publications

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“…Th e studies on women's serve in elite volleyball revealed that women's most preferable serve was the standing fl oat serve (48.6% of all serves). Th e share of the jump fl oat serve in women was surprisingly small (17%) [25]. In the women's teams of the Estonian highest league, the proportion between the tactical fl oat serve and the standing serve was more equal.…”

Section: Discussionmentioning

confidence: 98%

Comparative analysis of the elements of attack and defence in men’s and women’s games in the Estonian volleyball highest league

Stamm

Torilo

et al. 2016

PoA

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The aim of this study was to analyse the differences between men's and women's teams of the Estonian highest league in attack, serve, block, defence and serve reception. The sample consisted of 5 men's and 5 women's teams of the Estonian volleyball highest league in the 2014/2015 season. To collect data, two game videos of each team were watched; from them tempo of attack, type of attack, block and serve, and the results of defence and cover were registered. In addition, statistics created by the Data Volley and Volleysoft 6-3 programs on the basis of expert assessments were used to estimate the efficiency of volleyball elements and results of reception. SPSS Statistics 23 version for Windows was used to construct frequency tables and multinomial logistic regression analysis was applied to find the probable frequencies of the activities analysed. The results revealed that in Estonian men's highest league games quick tempo 1 attacks were used statistically significantly more often than in women's games. Men were more proficient at attack and used a vigorous spike more often than women. For both genders, double block was the most often used block type. Broken double block was more common to men than to women. The serve type most often used by men was the power jump serve, followed by the tactical float serve. Women most often used the standing serve and, as second, the jump float serve. Men made more serve errors than women did. The percentage of ace serves was also higher in women than in men.In defence, the percentage of the ball remaining in play was higher in women than in men, and women's defence cover was more efficient than http://dx.doi.org/10.12697/poa.2016.25.1.04Papers on Anthropology XXV/1, 2016, pp. 37-54 38 | R. Stamm, M. Stamm, D. Torilo, K. Thomson, A. Jairus men's. As a result of attack cover, the ball remained in play nearly by half more frequently in women's than in men's games. Nonetheless, women scored fewer points as a result of attack cover. Serve reception in the Estonian highest league was better in men, and men made statistically significantly fewer errors in reception than women did.

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Section: Discussionmentioning

confidence: 98%

Comparative analysis of the elements of attack and defence in men’s and women’s games in the Estonian volleyball highest league

Stamm

Torilo

et al. 2016

PoA

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“…Although K0 is usually included in KII, we analysed it independently to better provide a perceptible sequential analysis of the game actions. Two variables were considered in K0: Serve Zone, following the offi cial FIVB rules which divide the court into six diff erent zones (1, 6 and 5 in the back row, as servers are behind one of these three zones), and Serve Type (jump, jump-fl oat or standing) (Quiroga et al, 2010).…”

Section: Methodsmentioning

confidence: 99%

“…In the case of volleyball, some game variables are commonly studied: type and effi cacy of the serve (Quiroga et al, 2010); quality of serve-reception (Afonso, Moraes, Mesquita, Marcelino, & Duarte, 2009); setting zone and quality (Afonso, Mesquita, Marcelino, & Silva, 2010); effi cacy of the attack (based on zone attack tempo) (Araújo et al, 2011). Volleyball is usually considered to encompass fi ve diff erent game complexes (Ks), which are the equivalents to the concept of the sub-system.…”

Section: Introductionmentioning

confidence: 99%

A Comprehensive Mapping of High-Level Men’s Volleyball Gameplay through Social Network Analysis: Analysing Serve, Side-Out, Side-Out Transition and Transition

Loureiro¹,

Hurst²,

Valongo³

et al. 2017

Monten. J. Sports Sci. Med.

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A deeper understanding of the factors behind performance and their interactions is essential to promote better training practices. Notwithstanding, the focus often relies on the outcomes of players' actions (e.g., effi cacy rates), whereas the nature and variations of particular classes of actions remain largely unexplored. Our purpose was to conduct a systemic analysis of categorical game variables and their interactions using Social Network Analysis. Game actions were counted as nodes and their interactions as edges. Eigenvector centrality values were calculated for each node. Eight matches of the Men's World Cup 2015 were analysed, composing a total of 27 sets (1,209 rallies). Four game complexes were considered: Complex 0 (Serve), Complex I (Side-out), Complex II (Side-out transition) and Complex III (Transition). Results showed that teams frequently play in-system when in Complex I (i.e. under ideal conditions), but present reduced variation with regard to attack zones and tempos, whereas in Complex II teams most often play out-of-system. Based on these fi ndings, it was concluded that practicing with non-ideal conditions is paramount for good performance in Complex II. Furthermore, most literature combines Complex II and Complex III as a single unit (counter-attack); however, our results reinforce the notion that these two game complexes differ and should be analysed separately.

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“…Este resultado coincide con estudios precedentes realizados en categorías de formación (García-Tormo, Redondo, Valladares & Morante, 2006;Gil, Moreno, Moreno, García-González & Del Villar, 2010a) y en alto nivel (Callejón, 2006;Moreno, García de Alcaraz, Moreno, Molina & Santos, 2007;Moraes et al, 2008;Quiroga et al, 2010). Además de este resultado, cabe destacar la asociación significativa entre las variables zona de origen y temporalidad, contribuyendo positivamente a la asociación la realización de saques desde zona 5 con el Campeonato de 2010.…”

Section: Discussionunclassified

“…Esto nos hacen pensar, que los jugadores en categorías de formación están dispuestos a asumir un alto nivel de riesgo con la ejecución del saque en salto, ya que el equipo que está en situación de saque se encuentra en una clara desventaja respecto al equipo que se dispone a construir el ataque. Por tanto, la ejecución del saque en salto, a pesar de que presenta un mayor número de errores y de puntos respecto al saque en apoyo (López-Martínez and Palao, 2011), es una herramienta ideal que pretende frustrar la realización de ataques programados por parte del equipo contrario (Moras et al, 2008;Quiroga et al, 2010;Afonso et al, 2012).…”

Section: Discussionunclassified

Análisis comparativo del saque en voleibol entre los campeonatos de España 2005-2010 / Comparative Analysis of the Serve in Volleyball between the Spanish Championships 2005-2010

Arias¹,

Rabaz²,

Fernández‐Echeverría³

et al. 2016

rimcafd

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Relation between In-Game Role and Service Characteristics in Elite Women's Volleyball

Cited by 42 publications

References 7 publications

Comparative analysis of the elements of attack and defence in men’s and women’s games in the Estonian volleyball highest league

Comparative analysis of the elements of attack and defence in men’s and women’s games in the Estonian volleyball highest league

A Comprehensive Mapping of High-Level Men’s Volleyball Gameplay through Social Network Analysis: Analysing Serve, Side-Out, Side-Out Transition and Transition

Análisis comparativo del saque en voleibol entre los campeonatos de España 2005-2010 / Comparative Analysis of the Serve in Volleyball between the Spanish Championships 2005-2010

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