Analysis the percentage frequency to estimate Volleyball´s performance

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Published: Dec 19, 2012
Keywords:
Frequency Percentage, Volleyball, Performance, Statistical Model.

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Santiago Calero-Morales
Escuela Nacional de Voleibol, Federación Cubana de Voleibol

Abstract

The study analyzes the percentage frequency as a mathematical model used to estimate the international volleyball performance. Based on the description of its practical objectives, the paper shows some positive and negative characteristics of the equation, characteristics that affect decision making by the coach. Three studies were conducted involving a population of 42 games in volleyball, men's youth category, 10 game of 13 possible belonging to the Final round of 2006 FIVB World League, and a ranked players in the qualifying phase of the 2006 World League with 48 games as population. The investigation determined that the percentage frequency is a simple computer model that defines a value perfectly isolated from reality, but does not model correctly all variables that significantly influence the final performance, creating false interpretations of reality.

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How to Cite
Calero-Morales, S. (2012). Analysis the percentage frequency to estimate Volleyball´s performance. PODIUM - Journal of Science and Technology in Physical Culture, 7(4), 3–16. Retrieved from https://podium.upr.edu.cu/index.php/podium/article/view/330
Issue
Vol. 7 No. 4 (2012): Octubre-dic.
Section
ORIGINAL ARTICLES
Author Biography

Santiago Calero-Morales, Escuela Nacional de Voleibol, Federación Cubana de Voleibol

Especialista Técnico Metodológico

References

Ace Volleyball Analyzer v7. (2009). HandBooks. Dimensional Software Inc. USA

Andux, C. (1999). Los objetivos en los deportes de equipo: Un problema metodológico con implicación social (Versión Electrónica). Instituto Superior de Cultura Física, La Habana. Cuba, 6-11

Arsham, H. (2006a). Time-Critical Decision Making for Economics and Finance. Consultado el día 10 de enero del 2011 de la World Wide Web http://home.ubalt.edu/ntsbarsh/stat-data/Forecast.htm

Arsham, H. (2006b). Probabilistic Modeling Process: Decision analysis. Consultado el día 10 de enero de 2011 de la World Wide Web http://home.ubalt.edu/ntsbarsh/opre640a/partIX.htm

Calero, S. (2007). Mathematical modeling to process statistical performance in volleyball. I National Course on performance monitoring in Volleyball and volleyball beach. Volleyball National School of International School of Physical Education and Sports, May 26 to June 2, 2007. La Havana, Cuba.

Coleman, J. (1996). Guía Oficial de la Asociación de Entrenadores Americanos de Voleibol. Barcelona. Editorial Paidotribo. España, 264-265.

Coleman, J. (2002). Scouting Opponent and evaluating team performance. Chapter 23. Shondell, D.S y col. The volleyball coaching bible (pp. 322-331). USA: Human Kinetics.

DataVolley 2 (2005). HandBooks Data Volley Lite. Version Release 2.1.2. Consultado el día 20 de Septiembre de 2010 de la World Wide Web: www.dataproject.com - Italy, 15-16.

DataVolley 2007 Profesional (2007). HandBooks. Software for the scouting and analysis of Volleyball matches. Created and distributed by: DataProject, sport software. Bologna. Italy, 31

Díaz, J. (1997). Voleibol, La dirección de equipo: Métodos estadísticos y evaluación competitiva. Editorial Deportiva Wanceulen, Sevilla, España, 106-112, 125, 160-181

Diccionario Encarta (2009). 1993-2008 Microsoft Corporation. USA

Egaña, M. (2003). La Estadística: Herramienta fundamental de la investigación pedagógica. Editorial Pueblo y Educación, La Habana, Cuba, 6

Fiedler, M. y col (1974). Volleyball (Version in Spanish).; DDR: Edition Leipzig, 229; 240-243

FIVB (2003). [CD-ROM]- Top Volley: Men's Game. Techniques and Tactics. Lausanne, Switzerland

FIVB (2005). VIS Staff Guidelines. Evaluation Criteria. Lausanne, Switzerland.

Mesa, C. (2006). Asesoría estadística en la investigación aplicada al deporte. Editorial José Martí, La Habana. Cuba, 20; 62-66

Perdomo, A. (2006). The Statistics for the sports workout. Lecture given at the III International Symposium on Volleyball. Faculty of Physical Culture “Manuel Fajardo”. Santiago de Cuba. Cuba.

Quality Stats Volleyball V10.1.0 (2010). HandBooks. Qualitystats Company. USA

TurboStast for Volleyball V2 (2004). HandBooks. TurboStast Software Company. Po Box, Towaco, NJ. USA.

VBSTATS32 V3.2.0e (2002). HandBooks VBSTATS32 V3.2.0. Park Enterprises, Nebraska, USA.

VolleySoft MultiPasport (2005). The User's Guide 1.0: Consultado el día 25 de octubre de 2009 de la World Wide Web: www.multivolley.com

Zeisel, H. (1974). Dígalo con números. Ediciones Olimpia S.A, D.F, 21-36