Serve analysis of professional players in beach volleyball

This study has been developed for the European Beach Volleyball Championship in 2005. The video-recorded analysis was held using Sportcode Pro v.8.5.2 software. The aim of study was to determine the types of serve used, depending on the time of the set in which they occur. Quantitative analysis with a sample of 10 players that make up 5 teams with a total of four meetings with a total of 327 serves analyzed. The serves were classified depending on the period which they occurred, the period being 1 (items 1 to 7), period 2 (from point 8 to 14) and period 3 (point 15 to 21). he statistical analysis was conducted using the statistical software SPSS 19, Chi-square test established significant differences between the different types of serve for period 1 and 2 (p<0.05), but no significant differences were established in the period 3 to floating serve and power jump (p>0.05). The results showed a decrease of using a serve with jump power at period 1 (89.7%) compared to the period 3 (27.3%), while the floating and floating serve jump respectively increase at period 1 (6.3% -4%) in the period 3 (23.4% -49.4%).

Offensive zones in beach volleyball: differences by gender

Gender differences in anthropometric and athletic properties (e.g. strength) as well as the different net heights (2.24 vs. 2.43 m) on the same field size (8x16 m) would be reflected in the game. The literature about differences between male and female playing characteristics in beach volleyball is scarce. Therefore, the aim of this study was to analyse the differences by gender in the use of offensive zones. Study participants were 20 players (10 female and 10 male) who took part in the European Beach Volleyball Championship 2005 and 2006. Video recordings were made of the 659 points in eight matches played. The beach volleyball court was divided into six zones (z1 to z6). The results showed that men and women use different offensive zones and also were different in the percentages of ball out (15.53 and 27.38% respectively). Concretely, men players used more 1, 2, 4 and 5 zones and women 1 and 5 zones. A few differences were observed in the percentage the ball to the net (7.73 and 5.35% respectively). An understanding of the use of offensive zones is relevant to establish specific tactical training patterns for beach volleyball.

Effects of whole body vibration on strength and jumping performance in volleyball and beach volleyball players

The primary aim of this study was to examine the effects of 6-week strength training with whole body vibration (WBV) on leg strength and jumping performance in volleyball and beach volleyball players. Twenty-three sub-elite male volleyball (VB; n=12) and beach volleyball players (BVB; n=11) aged 21.2±3.0 years were divided into two groups and subjected to 6 weeks of strength training (three one-hour sessions per week): (I) 12 players (6 VB and 6 BVB players) underwent training with WBV (30-40 Hz, 1.7-2.5 mm, 3.0-5.7 g), and (II) 11 players (6 VB and 5 BVB players) underwent traditional strength training. Squat jump (SJ) and countermovement squat jump (CMJ) measurements by the Ergo Tester contact platform and maximum leg press test (1RM) were conducted. Three-factor (2 time x 2 WBV use x 2 discipline) analysis of variance for SJ, CMJ and 1RM revealed a significant time main effect (p<0.001), a WBV use effect (p<0.001) and a discipline effect (p<0.001). Significantly greater improvements in the SJ (p<0.001) and CMJ (p<0.001) and in 1RM (p<0.001) were found in the WBV training groups than in traditional training groups. Significant 3-way interaction effects (training, WBV use, discipline kind) were also found for SJ, CMJ and 1RM (p=0.001, p<0.001, p=0.001, respectively). It can be concluded that implementation of 6-week WBV training in routine practice in volleyball and beach volleyball players increases leg strength more and leads to greater improvement in jump performance than traditional strength training, but greater improvements can be expected in beach volleyball players than in volleyball players.

Way of scoring by Spanish First Division volleyball teams in relation to winning/losing, home/away, final classification, and type of confrontation

The aim of this study was to assess the way volleyball teams score with regard to: whether or not they won the game, whether they were the home or away team, the level of the opposing teams, and the type of confrontation. The sample was composed of 118,083 plays from 794 men’s volleyball matches and 125,751 plays from 719 women’s matches of Spain’s first division clubs (from the 2002-2003 season to the 2006-2007 season). The variables studied were: the way points were obtained in each play, being the home or away team, the level of the teams, the result of the match, and the type of confrontation between the teams with regard to their level. The results demonstrate that for both men’s and women’s teams, the majority of the points were obtained in attack and by opponent errors. Differences were found with regard to the way points were obtained when winning or losing the match was taken into account as well as when considering the level of the teams. This paper discusses the differences found with regard to whether the team is home or visiting and the type of confrontation.

Profiling in sport using momentum and perturbations

Examining a team’s performance from a physical point of view their momentum might indicate unexpected turning points in defeat or success. Physicists describe this value as to require some effort to be started, but also that it is relatively easy to keep it going once a sufficient level is reached (Reed and Hughes, 2006). Unlike football, rugby, handball and many more sports, a regular volleyball match is not limited by time but by points that need to be gathered. Every minute more than one point is won by either one team or the other. That means a series of successive points enlarges the gap between the teams making it more and more difficult to catch up with the leading one. This concept of gathering momentum, or the reverse in a performance, can give the coaches, athletes and sports scientists further insights into winning and losing performances. Momentum investigations also contain dependencies between performances or questions if future performances are reliant upon past streaks. Squash and volleyball share the characteristic of being played up to a certain amount of points. Squash was examined according to the momentum of players by Hughes et al. (2006). The initial aim was to expand normative profiles of elite squash players using momentum graphs of winners and errors to explore ‘turning points’ in a performance. Dynamic systems theory has enabled the definition of perturbations in sports exhibiting rhythms (Hughes et al., 2000; McGarry et al., 2002; Murray et al., 2008), and how players and teams cause these disruptions of rhythm can inform on the way they play, these techniques also contribute to profiling methods. Together with the analysis of one’s own performance it is essential to have an understanding of your oppositions’ tactical strengths and weaknesses. By modelling the oppositions’ performance it is possible to predict certain outcomes and patterns, and therefore intervene or change tactics before the critical incident occurs. The modelling of competitive sport is an informative analytic technique as it directs the attention of the modeller to the critical aspects of data that delineate successful performance (McGarry & Franks, 1996). Using tactical performance profiles to pull out and visualise these critical aspects of performance, players can build justified and sophisticated tactical plans. The area is discussed and reviewed, critically appraising the research completed in this element of Performance Analysis.

Análisis del saque en jugadoras femeninas profesionales de vóley playa

El objetivo de estudio es conocer los tipos de saques utilizados, dependiendo el momento del set en el que se producen. Este estudio ha sido desarrollado durante el torneo Nestea Spanish Master de Vóley Playa disputado en Valencia en el año 2006. La muestra de estudio la componen 10 jugadoras que conforman 5 equipos con un total de 4 encuentros analizados que suman 331 saques analizados. El análisis de las videograbaciones se llevó a cabo con el software SportCode Pro v.8.5.2. Los saques se clasificaron dependiendo del momento en el que se produjeron, siendo la franja 1 (del punto 1 al 7), franja 2 (del punto 8 al 14) y franja 3 (del punto 15 al 21). El análisis de datos se llevo a cabo con el software SPSS v.19. La prueba Chi-cuadrado, estableció diferencias significativas entre los diferentes tipos de saques para la franja 1 y 3 (p<.05), pero no se establecieron diferencias significativas en la franja 2 para los tres tipos de saque utilizado (p>.05). Se experimenta una disminución en el uso del saque en potencia (SP) de la franja 1 (84.1%) con respecto al de la franja 3 (4.8%), mientras que el saque flotante (SF) aumenta de la franja 1 (13.5%) a la franja 3 (81%). Finalmente el saque flotante (SF) en salto aumentan de la franja 1 (2.4%) a la franja 2 (28%) y decrece de esta última a la franja 3 (14.3%).