Biology of Sport
eISSN: 2083-1862
ISSN: 0860-021X
Biology of Sport
Current Issue Manuscripts accepted About the journal Editorial board Abstracting and indexing Archive Ethical standards and procedures Contact Instructions for authors Journal's Reviewers Special Information
Editorial System
Submit your Manuscript
SCImago Journal & Country Rank
Share:
Share:
Original paper

Factors determining sports results in elite national volleyball teams between 2004 and 2016

Kazimierz Mikołajec
1
,
Barbara Nowak
2
,
Damian Banyś
2
,
Michał Krzysztofik
1
,
Dariusz Tadeusz Skalski
3
,
Alicja Markiel
4
,
Adam Maszczyk
1

  1. Institute of Sport Sciences, The Jerzy Kukuczka Academy of Physical Education, Katowice, Poland
  2. The Jerzy Kukuczka Academy of Physical Education in Katowice, Department of Handball and Volleyball, Mikołowska 72A, 40-065 Katowice, Poland
  3. University of Applied Sciences in Wałcz, Poland
  4. SWPS University of Social Sciences and Humanities in Katowice, Poland
Biol Sport. 2025;42(1):145–150
Online publish date: 2024/07/31
Article file
- 15_03172_Article (1).pdf  [0.25 MB]
Get citation
 
PlumX metrics:
 
1. Eon H, Schtz R. Statistical analyses of volleyball team performance. Res Q Exerc Sport. 1992; 63:11–18.
2. Marcelino R, Mesquita I, Sampaio J, Moraes J. Study of performance indicators in male volleyball according to the set results. Rev Bras Educ Fis Esporte. 2006; 24(1):69–78.
3. Miskin MA, Fellingham GW, Florence LW. Skill importance in women’s volleyball. J Quant Analys Sports. 2010; 6(2):4–12.
4. Pesaturias A, Charitonidis K, Moustakidis A, Kokaridas D. Technical Skills Leading in Winning or Losing Volleyball Matches During Beijing Olympic Games. J Phys Educ Sport. 2011; 11(2):39–42.
5. Silva M, Lacerda D, Joao P. Game-Related Volleyball Skills that Influence Victory. J Hum Kinet. 2014; 41:173–179.
6. Greene W. Econometric Analysis. Prentice Hall (New Jersey). 2003.
7. Maszczyk A, Roczniok R, Czuba M, Zajac A, Waśkiewicz Z, Mikolajec K, Stanula A. Application of regression and neural models to predict competitive swimming performance. Percept Mot Skills. 2012; 114(2):610–624.
8. Maestas C, Preuhs RR. Modelling volatility in political time series. Electoral Stud. 2000; 19(1):95–110.
9. Knusel, L. On the reliability of Microsoft Excel XP for statistical purposes, in Microsoft Excel 2003. Comput Stat Data Analys. 2002; 49:1244–1252.
10. Laios K, Kountouris P. Evolution in men’s volleyball skills and tactics as evidenced in the Athens 2004 Olympic Games. Int J Perform Analys Sport. 2004; 5(2):1–8.
11. Castro J, Esteves F, Moreno P, Mesquita I. The implications of the setting zone in volleyball’s offensive organization: analysis in elite men’s national teams. In: Hughes M, Dancs H, Nagyvaradi K, editors. Research in sport science: volleyball setting. Cardiff (UK); 2009:141–150.
12. Papadimitriou K, Pashali E, Sermaki I, Mellas S, Papas M. The effect of the opponents’ serve on the offensive actions of Greek setters in volleyball games. Int J Perform Anal Sport. 2004; 4(1):23–33.
13. Drikos S, Barzouka K, Nikolaidou ME, Sotiropoulos K. Game variables that predict success and performance level in elite men’s volleyball. Int J Perform Anal Sport. 2021; 21(5):767–779.
14. Bellendier J. Ataquenderotacionen el Voleibol, un enfoqueactualizado. Rev Digital – Buenos Aires. 2022; 8(51).
15. Palao J, Santos J, Urena A. Effect of the setter’s position on the block in volleyball. Int J Volley Res. 2004; 7:29–32.
16. Marcelino R, Mesquita I. Characterizing the efficacy of skills in high performance competitive volleyball. World Congress of Performance Analysis of Performance Hungary. 2006; 7:491–496.
17. Castro J, Souza A, Mesquita I. Attack efficacy in volleyball: Elite male teams. Percept Mot Skills. 2011; 113(2):395–414.
18. Marcelino R, Mesquita I, and Alfonso J. The weight of terminal actions in volleyball. Contributions of the spike, serve and block for the teams’ rankings in the World League 2005. Int J Perform Analys Sport. 2008; 8(2):1–7.
19. Lames, M, Mc Garry, T, On the search for reliable performance indicators in game sports. Int J Perform Analys Sport. 2007; 7:62–79.
20. Suwara R. Blocking. In: Shondell D, Reynaud C, editors. The Volleyball Coaching Bible. Boston: Human Kinetics; 2002. p. 199–226.
21. Afonso J, Mesquita I, and Palao J. Relationship between the use of committed block and the numbers of blockers and the block effectiveness. Int J Perform Analys Sport. 2005; 5:36–45.
22. Afonso J, Mesquita I, Marcelino R, Silva J. Analysis of the setter’s tactical action in high-performance women’s volleyball. Kinesiol. 2010; 421:82–89.
23. Palao J, Santos J, Urena A. Effect of the manner of spike execution on spike performance in volleyball. Int J Perform Analys Sport. 2007; 7:126–138.
24. Palao J. Options for analysis of the volleyball score sheet. Int Int J Perform Analys Sport. 2008; 8(2):26–43.
25. Maia N, Mesquita I. Study of zones and efficacy of the reception according to the receiver player in female senior volleyball. Rev Bras Educ Fis Esporte. 2006; 20(4):257–270.
26. Drikos S, Kountouris P, Laios A, Laios Y. Correlates of Team Performance in Volleyball. Int J Perform Analys Sport. 2009; 9(2):149–156.
27. Zetou E, Moustakidis A, Tsigilis N, Komninakidou A. Does Effectiveness of Skill in Complex I Predict Win in Men’s Olympic Volleyball Games? J Quant Anal Sports. 2007; 3(4):1559–1570.
28. Marelic N, Resetar T, Jankovic V. Discriminant analysis of the sets won and the sets lost by one team in A1 Italian volleyball league – a case study. Kinesiol. 2004; 36(1):75–82.
29. Degrenne O, Langlois V, Paulo A, Eloi S, Alain Mouchet. The role of performance analysis within the coaching process: dealing with failure in volleyball side out attack. Mov Sport Sci. 2023; 119:47–60.
30. Drikos S, Sotiropoulos K, Gkreka S, Tsakiri M, Barzouka K. Variations I attack patterns between female and male outside hitters in top-level volleyball. Int J Sports Sci Coaching. 2023; 18(1):245–256.
Copyright: Institute of Sport. This is an Open Access article distributed under the terms of the Creative Commons CC BY License (https://creativecommons.org/licenses/by/4.0/). This license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use.
 
Quick links
© 2024 Termedia Sp. z o.o.
Developed by Bentus.