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Journals / Uluslararası Beden Eğitimi Spor ve Teknolojileri Dergisi / 2026 / Cilt: 5 Sayı: 1

The Effects of Skill-Based Factors on The Results of High-Level Volleyball Games

Üst Düzey Voleybol Maçlarında Beceriye Dayalı Faktörlerin Maç Sonucuna Etkileri

Fatih Kaya(ERZINCAN BINALI YILDIRIM UNIVERSITY)0000-0003-4007-9561
Serkan Paçacı(GAZI UNIVERSITY)0000-0002-5902-8900
Pages
10–18
Publication Date
2024-03-31
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The results showed that blocked attack, PPR and break points were effective on the match result (p<0.05), break points and PPR variables contributed to the probability of winning the teams by 0.318 and 0.101 respectively while the blocked attack variable contributed to the probability of defeat by 0.465.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Understanding the relationship of skill performance indicators to scores is helpful for athletes and coaches in gaining advantage through decision making and error control.
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Key Findings & Data:The aim of this study was to determine the skill-based factors affecting the match results of the national teams participating in the CEV Tokyo Volleyball European Qualification 2020 competitions and to make predictions about the match result.
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Conclusion & Impact:The results showed that blocked attack, PPR and break points were effective on the match result (p<0.05), break points and PPR variables contributed to the probability of winning the teams by 0.318 and 0.101 respectively while the blocked attack variable contributed to the probability of defeat by 0.465.
🔬Design:Araştırma Makalesi
📍Scope:2020 Verileri
⚙️Variables:Voleybol · Lojistik Regresyon · Maç Sonucu

Abstract

Understanding the relationship of skill performance indicators to scores is helpful for athletes and coaches in gaining advantage through decision making and error control. The aim of this study was to determine the skill-based factors affecting the match results of the national teams participating in the CEV Tokyo Volleyball European Qualification 2020 competitions and to make predictions about the match result. A total of 30 national team’s matches of the 8 women (15 matches, 56 sets) and 8 men (15 matches, 59 sets) were analyzed. Data were obtained from the websites in the Confédération Européenne de Volleyball (CEV). The analyzed variables are: match result, gender, service aces, service errors, block points, attack points, attack errors, blocked attack, percentage of attack points (PAP), attack efficiency, reception errors, percentage of reception errors (PRE), percentage of positive receptions (PPR), percentage of excellent receptions (PER), break points, opponent errors. The results showed that blocked attack, PPR and break points were effective on the match result (p<0.05), break points and PPR variables contributed to the probability of winning the teams by 0.318 and 0.101 respectively while the blocked attack variable contributed to the probability of defeat by 0.465.

Özet

Beceri performansı göstergelerinin puanlarla ilişkisini anlamak, karar verme ve hata kontrolü yoluyla avantaj sağlamada sporcular ve antrenörler için yararlıdır. Bu çalışmanın amacı, CEV Tokyo Voleybol Avrupa Elemeleri 2020 müsabakalarına katılan milli takımların maç sonuçlarına etki eden beceriye dayalı faktörleri belirlemek ve maç sonucuna yönelik tahminde bulunmaktı. Sekiz kadın (15 maç, 56 set) ve sekiz erkek (15 maç, 59 set) milli takımın toplam 30 maçı analiz edildi. Veriler, Avrupa Voleybol Konfederasyonu (CEV) bünyesindeki web sitelerinden alındı. Analiz edilen değişkenler şunlardır; maç sonucu, cinsiyet, servis direk puanı, servis hatası, blok sayısı, atak sayısı, atak hatası, bloklanan atak, atak puanı yüzdesi (APY), atak verimliliği, karşılama hatası, karşılama hatası yüzdesi (KHY), olumlu karşılama yüzdesi (OKY), mükemmel karşılama yüzdesi (MKY), atılan servis sonrası ralliyi kazanma, rakip hatası. Sonuçlar bloklanan atak, OKY ve atılan servis sonrası ralliyi kazanmanın maç sonucu üzerinde etkili olduğunu (p<0,05), atılan servis sonrası ralliyi kazanmanın ve OKY değişkenlerinin takımların kazanma olasılığına sırasıyla 0,318 ve 0,101’lik katkı yaptığını, bloklanan atak değişkeninin ise mağlubiyet olasılığına 0,465’lik katkı yaptığını gösterdi.

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Cite This Article

Kaya, F., Paçacı, S. (2024). The Effects of Skill-Based Factors on The Results of High-Level Volleyball Games. Uluslararası Beden Eğitimi Spor ve Teknolojileri Dergisi, Cilt: 5 Sayı: 1, 10–18. https://ajindex.com/articles/1604789

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References (32)

  1. Bergeles, N., Barzouka, K., & Nikolaidou, M. E. (2009). Performance of male and female setters and attackers on Olympic-level volleyball teams. International Journal of Performance Analysis in Sport, 9(1), 141-148. https://doi.org/10.1080/24748668.2009.11868470
  2. Bozhkova, A. (2013). Playing efficiency of the best volleyball players in the world. Research in Kinesiology, 41(1), 92-95.
  3. Bowen, G. A. (2009). Document analysis as a qualitative research method. Qualitative Research Journal, 9(2), 27-40. https://doi.org/10.3316/QRJ0902027
  4. CEV. (2021a). Retrieved April 21, 2021, from https://roadtotokyo.cev.eu/en/women/matches/
  5. CEV. (2021b). Retrieved July 1, 2021, from https://www-old.cev.eu/Competition-Area/Statistics.aspx?ID=1208
  6. Ciemiński, K. (2018). The efficiency of executing technical actions in volleyball and the teams’ gender and sports level. Trends in Sport Sciences, 3(25), 159-165. https://doi.org/10.23829/TSS.2018.25.3-6
  7. Costa, G., Afonso, J., Brant, E., & Mesquita, I. (2012). Differences in game patterns between male and female youth volleyball. Kinesiology, 44(1).
  8. Denis, D. J. (2021). Applied univariate, bivariate, and multivariate statistics: understanding statistics for social and natural scientists, with applications in SPSS and R (2 ed.). John Wiley & Sons.
  9. Drikos, S., Barzouka, K., Nikolaidou, M.-E., & Sotiropoulos, K. (2021). Game variables that predict success and performance level in elite men’s volleyball. International Journal of Performance Analysis in Sport, 1-13. https://doi.org/10.1080/24748668.2021.1945879
  10. Drikos, S., Sotiropoulos, K., Papadopoulou, S. D., & Barzouka, K. (2019). Multivariate analysis of the success factors in high-level male volleyball: a longitudinal study. Trends in Sport Sciences, 26(4), 177-185. https://doi.org/10.23829/TSS.2019.26.4-6
  11. George, D., & Mallery, P. (2020). IBM SPSS statistics 26 step by step: a simple guide and reference (6 ed.). Routledge.
  12. JoãTo, P. V., Leite, N., Mesquita, I., & Sampaio, J. (2010). Sex differences in discriminative power of volleyball game-related statistics. Perceptual and motor skills, 111(3), 893-900. https://doi.org/10.2466/05.11.25.PMS.111.6.893-900
  13. Kraak, W., Magwa, Z., & Terblanche, E. (2018). Analysis of South African semi-elite rugby head coaches’ engagement with performance analysis. International Journal of Performance Analysis in Sport, 18(2), 350-366. https://doi.org/10.1080/24748668.2018.1477026
  14. Malek, M. H., Coburn, J. W., & Marelich, W. D. (2018). Advanced statistics for kinesiology and exercise science: a practical guide to ANOVA and regression analyses. Routledge.
  15. Marcelino, R., Mesquita, I., Sampaio, J., & Moraes, J. C. (2010). Study of performance indicators in male volleyball according to the set results (Estudo dos indicadores de rendimento em voleibol em função do resultado do set). Rev. bras. educ. fís. esporte, 24(1), 69-78.
  16. Marelić, N., Rešetar, T., & Janković, V. (2004). Discriminant analysis of the sets won and the sets lost by one team in A1 Italian volleyball league-A case study. Kinesiology, 36(1), 75-82.
  17. Martin, D., Swanton, A., Bradley, J., & McGrath, D. (2018). The use, integration and perceived value of performance analysis to professional and amateur Irish coaches. International Journal of Sports Science & Coaching, 13(4), 520-532. https://doi.org/10.1177/1747954117753806
  18. Merriam, S. B., & Tisdell, E. J. (2015). Qualitative research: A guide to design and implementation. John Wiley & Sons.
  19. Mroczek, D., Januszkiewicz, A., KawczyNski, A. S., Borysiuk, Z., & Chmura, J. (2014). Analysis of male volleyball players' motor activities during a top level match. The Journal of Strength & Conditioning Research, 28(8), 2297-2305. https://doi.org/10.1519/JSC.0000000000000425
  20. Palao, J., Manzanares, P., & Ortega, E. (2009). Techniques used and efficacy of volleyball skills in relation to gender. International Journal of Performance Analysis in Sport, 9(2), 281-293. https://doi.org/10.1080/24748668.2009.11868484
  21. Pashabadi, A., Shahbazi, M., Hoseini, S. M., Mokaberian, M., Kashanai, V., & Heidari, A. (2011). The Comparison of mental skills in elite and sub-elite male and female volleyball players. Procedia-Social and Behavioral Sciences, 30, 1538-1540. https://doi.org/10.1016/j.sbspro.2011.10.298
  22. Patsiaouras, A., Moustakidis, A., Charitonidis, K., & Kokaridas, D. (2010). Volleyball technical skills as winning and qualification factors during the Olympic Games 2008. International Journal of Performance Analysis in Sport, 10(2), 115-120. https://doi.org/10.1080/24748668.2010.11868507
  23. Peña, J., Rodríguez-Guerra, J., & Serra, N. (2013). Which skills and factors better predict winning and losing in high-level men's volleyball? The Journal of Strength & Conditioning Research, 27(9), 2487-2493. https://doi.org/10.1519/JSC.0b013e31827f4dbe
  24. Raiola, G., Altavilla, G., De Luca, C., & Di Tore, P. A. (2016). Analysis on some aspects of the service in volleyball. Sport Science, 9(1), 74-77.
  25. Sattler, T., Hadžic, V., Derviševic, E., & Markovic, G. (2015). Vertical jump performance of professional male and female volleyball players: Effects of playing position and competition level. The Journal of Strength & Conditioning Research, 29(6), 1486-1493. https://doi.org/10.1519/JSC.0000000000000781
  26. Silva, M., Lacerda, D., & João, P. V. (2013). Match analysis of discrimination skills according to the setter attack zone position in high level volleyball. International Journal of Performance Analysis in Sport, 13(2), 452-460. https://doi.org/10.1080/24748668.2013.11868661
  27. Silva, M., Lacerda, D., & João, P. V. (2014a). Game-related volleyball skills that influence victory. Journal of Human Kinetics, 41/2014, 173-179. https://doi.org/10.2478/hukin-2014-0045
  28. Silva, M., Lacerda, D., & João, P. V. (2014b). Match analysis of discrimination skills according to the setter defence zone position in high level volleyball. International Journal of Performance Analysis in Sport, 14(2), 463-472. https://doi.org/10.1080/24748668.2014.11868735
  29. Valladares, N., García-Tormo, J. V., & João, P. V. (2016). Analysis of variables affecting performance in senior female volleyball World Championship 2014. International Journal of Performance Analysis in Sport, 16(1), 401-410. https://doi.org/10.1080/24748668.2016.11868895
  30. Yu, Y., García-De-Alcaraz, A., Wang, L., & Liu, T. (2018). Analysis of winning determinant performance indicators according to teams level in Chinese women’s volleyball. International Journal of Performance Analysis in Sport, 18(5), 750-763. https://doi.org/10.1080/24748668.2018.1517289
  31. Zetou, E., Moustakidis, A., Tsigilis, N., & Komninakidou, A. (2007). Does effectiveness of skill in Complex I predict win in men's Olympic volleyball games? Journal of Quantitative Analysis in Sports, 3(4), Article 3. https://doi.org/10.2202/1559-0410.1076
  32. Zetou, E., Tsigilis, N., Moustakidis, A., & Komninakidou, A. (2006). Playing characteristics of men’s olympic volleyball teams in complex II. International Journal of Performance Analysis in Sport, 6(1), 172-177. https://doi.org/10.1080/24748668.2006.11868365