Memorias de investigación
Ponencias en congresos:
Analysis of volleyball attack from the Markov chain model
Año:2017

Áreas de investigación
  • Ciencias naturales y ciencias de la salud

Datos
Descripción
Introduction: Performance analysis provides objective information about players? and/or teams? behaviors (O?Donoghue, 2010) from a descriptive to a predictive way (McGarry, 2009). Preparation of a match is a kind of ?predictive? scenario in which the coach organizes the team according to some performance indicators that interact with the opponent. In volleyball, most top teams use professional software, such as Data Volley, to analyze opponent?s behaviors and to prepare a match (Silva et al., 2016). Performance indicators most commonly used in coaching focus on the player who attacks the ball, especially in the attack phase (complex I), and the influence of team?s rotation. In a volleyball rally, the first set of actions performed by a team to build an attack is known as complex I (reception, set, and attack) and contribute most to final outcome (Laios and Kountouris, 2011). The set action has a great influence on attacker?s performance (Bergeles et al., 2009) and is affected by team?s rotation because of the number and role of players ready to attack (Durkovi? et al., 2009). Volleyball research studies that focused on a predictive framework tend to use multivariate analysis (Afonso et al., 2012). Nevertheless, other net/wall sports employ another type of analysis such as Markov chain (McGarry and Franks, 1996; Pfeiffer et al., 2010). This technique is a discrete stochastic process that shows the probability of an event occurring based on previous state. Volleyball coaches and players may be interested in identifying opponent?s tendencies behaviors in order to predict future ones. Thus, the aim of this study was to analyze the attack tendency in complex I in terms of a team?s rotation using the Markov chain model.
Internacional
Si
Nombre congreso
International Congress of Complex Systems in Sport
Tipo de participación
960
Lugar del congreso
Barcelona
Revisores
Si
ISBN o ISSN
978-2-88945-310-8
DOI
Fecha inicio congreso
05/10/2017
Fecha fin congreso
06/10/2017
Desde la página
166
Hasta la página
168
Título de las actas
Congress Special Edition

Esta actividad pertenece a memorias de investigación

Participantes
  • Autor: Antonio Garcia de Alcaraz Serrano UPM

Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Investigación del Laboratorio de Fisiología del Esfuerzo.