Research Article
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ELİT ERKEK VOLEYBOL TAKIMLARININ PAS DAĞILIMI SERVİS KARŞILAMA KALİTESİ VE TAKIM SIRALAMASI AÇISINDAN DEĞERLENDİRİLMESİ

Year 2020, Volume: 14 Issue: 2, 202 - 213, 03.08.2020

Abstract

Bu çalışmada 2018-2019 Türkiye Efeler Voleybol Liginde mücadele eden 12 takımın, servis karşılama kalitesi ile kazandığı maç sayısı, pas dağılımları ve takım sıralaması arasındaki ilişki araştırılmıştır. Çalışmanın araştırma örneklemi, 2018-2019 sezonu Türkiye Efeler Voleybol Ligi takımlarının birinci ve ikinci devre maçlarına ait verileridir. Veriler, Data-Volley voleybol müsabaka analizi programında elde edilmiştir. Elde edilen sonuçlar 22 haftalık 132 maça ait, toplamda 1040 set, 18238 servis karşılama (8156 mükemmel-iyi karşılama, 6087 kötü-vasat karşılama), 1286 servis karşılama hatası verisinden türetilmiştir. Elde edilen çıktılar (SPSS, Windows 21.0) paket programı kullanılarak α=.05 güven düzeyi esas alınarak uygulanmıştır. Kullanılan verilerin sürekli değişken olması sebebiyle analiz için Pearson korelasyon katsayıları yöntemi kullanılmıştır. Analizler öncesinde serpilme grafiği yapılmış ve değişkenler arasındaki doğrusal ilişki analiz edilmiştir. Kazanılan maç sayısı ile mükemmel-iyi servis karşılama, vasat-kötü servis karşılama, servis karşılama hatası arasındaki ilişkiyi araştırmış ve sadece servis karşılama hatası ile kazanılan maç sayısı arasında pozitif bir ilişki tespit etmiştir (p< 0.05). Servis karşılama kalitesi (mükemmel-iyi servis karşılama ve vasat-kötü servis karşılama) ile pasörün pas tercihleri (4, 3, 1, ve 6 numara) arasındaki anlamlı ilişki tespit edilemezken (p>0.05), sadece mükemmel-iyi servis karşılama ile 2 numaraya atılan paslar arasında istatistiksel olarak pozitif ve anlamlı bir ilişki tespit etmiştir (p<0.05).

References

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  • 23. Software DS. (2007). Software for the Scouting and analysis of volleyball matches.
  • 24. Akarçeşme C. (2010). Elit bayan voleybolunda maç sonucunu açiklayan değişkenlerin lojistik regresyon yöntemi ile belirlenmesi ve maç kazanmaya yönelik olasilik modelinin tahmini. Gazi Üniversitesi Sağlik Bilimlerİ Enstitüsü Beden Eğitİmi ve Spor Anabilimdalı. Ankara.
  • 25. Loureiro M., Hurst M., Valongo B., Nikolaidis P., Laporta L., Afonso J. (2017). A comprehensive mapping of high-level men’s volleyball gameplay through social network analysis: analysing serve, side-out, side-out transition and transition. Montenegrin Journal of Sports Science and Medicine. 6(2), 35-41.
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  • 27. Marcelino R., Mesquita I., Afonso J. (2008). The weight of terminal actions in Volleyball. Contributions of the spike, serve and block for the teams’ rankings in the World League 2005. International Journal of Performance Analysis in Sport. 8(2), 1-7.
  • 28. Silva M., Lacerda D., João PV. (2014). Game-related volleyball skills that influence victory. Journal of Human Kinetics. 41(1), 173-179.
  • 29. Eom HJ., Schutz RW. (1992). Statistical analyses of volleyball team performance. Research Quarterly for Exercise and Sport. 63(1), 11-8.
  • 30. Oliveira A., Vaz L., Pastore J., João PV. (2018). Discriminate scoring skills and non-scoring skills according to results in the Brazilian men’s volleyball Super League. Montenegrin Journal of Sports Science and Medicine. 7(1), 73-79.
  • 31. Peña J., Rodriguez-Guerre j., Buscà B., Serra N. (2013). Which skills and factors better predict winning and losing in high-level men’s volleyball? Journal of Strength and Conditioning Research. 27(9), 2487-2493.
  • 32. Fernandez-Echeverria C., Mesquita I., González-Silva J., Claver F., Moreno MP. (2017). Match analysis within the coaching process: a critical tool to improve coach efficacy. International Journal of Performance Analysis in Sport. 17(1-2), 149-163.
  • 33. Afonso J, Mesquita, I., Marcelino, R. & da Silva, JA. (2010). Analysis of the setter’s tactical action in high-performance women’s volleyball. Kinesiology. 42(1), 82-89.
  • 34. Alexandros L., Athanasios M. (2011). The setting pass and performance indices in Volleyball. International Journal of Performance Analysis in Sport. 11(1), 34-39.
  • 35. Rodriguez-Ruiz D., Quiroga Miriam E., Miralles Jose A., Sarmiento S., de Saá Y., García-Manso Juan M. (2011). Study of the technical and tactical variables determining set win or loss in top-level european men's volleyball. Journal of Quantitative Analysis in Sports. 7(1).
  • 36. Ugrinowitsch H., Lage GM., Santos-Naves SPD., Dutra LN., Carvalho MFSP., Ugrinowitsch AAC., Benda RN. (2014). Transition I efficiency and victory in volleyball matches. 20(1), 42-46.
  • 37. 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.
Year 2020, Volume: 14 Issue: 2, 202 - 213, 03.08.2020

Abstract

References

  • 1. Tavşancıl E. (2002). Tutumların ölçülmesi ve spss ile veri analizi. Nobel Yayınevi. Ankara, 4-5.
  • 2. Baacke H. (2005). Voleybol antrenmanı üst düzey takımlar için el kitabı 2. Çağrı Baskı. İstanbul.
  • 3. Hause-Petersen L. (1997). Coaches' digest. Lausanne, 208.
  • 4. Reynaud C. (2015). The volleyball coaching bible. Human Kinetics. USA, 281.
  • 5. Aytar SH., Akarçeşme C., Bakır MA. (2019). Rally length and rest time in women’s volleyball. International Journal of Applied Exercise Physiology. 31(8), 84-90.
  • 6. Don Shondell CR. (2002). The volleyball coaching bible. Human Kinetics. USA, 368.
  • 7. Dearing J. (2019). Volleyball fundamentals. Human Kinetics Publishers. USA.
  • 8. Baacke H. (2005). Voleybol antrenmanı üst düzey takımlar için el kitabı 1. Çağrı Baskı. İstanbul.
  • 9. Drikos S., Kountouris P., Laios A., Laios Y. (2009). Correlates of team performance in volleyball. International Journal of Performance Analysis in Sport. 9(2), 149-156.
  • 10. Lima R., Silva AF., Clemente FM. (2019). Temporal effects of final action on the performance of the Portuguese men’s volleyball teams. Biomedical Human Kinetics. 11(1), 121-130.
  • 11. FIVB. (2016). Official volleyball rules 2017-2020. Approved by the 35th FIVB Congress. 2016.
  • 12. FIVB. (n.d). Top Volley Manual. https://www.fivb.org/EN/Development/document/FIVB_DEV_Top_Volley_Manual_eng.pdf. [Erişim tarihi: 01.02.2019]
  • 13. Lebedew M. (2018). Coaching Manuel. Australian Goverment. Australia.
  • 14. Stanković M., Perić D., Ruiz-Llamas G., Quiroga-Escudero ME. (2017). Effects of tested rules on work-rest time in volleyball. Motricidade. 13(3), 13.
  • 15. Marcelino RO., Sampaio JE., Mesquita IM. (2012). Attack and Serve Performances According to the Match Period and Quality of Opposition in Elite Volleyball Matches. The Journal of Strenght & Conditioning Research. 26(12), 3385-3391.
  • 16. Barbara L., Viera BJF. (1996). Volleyball steps to success. Human Kinetics. USA.
  • 17. FIVB. (2016). Coach Manuel II. http://www.fivb.org/EN/Technical Coach/Document/FIVB_ DEV_ Coaches_Manual_Level_II.pdf
  • 18. Athanasios Papageorgiou WS. (2003). Handbook for competitive volleyball. Meyer & Meyer Sport. UK.
  • 19. Rocha ACR., Freire AB., Martins LR., Maia MP., Guimarães JDS., Ugrinowitsch H., Castro HDO., Costa GDCT. (2019). Predictive factors of the attack efficacy: the case of the Brazilian women’s volleyball league champion team. Revista Brasileira de Cineantropometria & Desempenho Humano. 21.
  • 20. Sergey Titov SS. (2016). Picture of the game 2016. Modern Volleyball Aspects.
  • 21. Hebert M. (2014). Thinking volleyball. Human Kinetics. USA.
  • 22. Alpar R. (2010). Spor sağlık ve eğitim bilimlerinden örneklerle uygulamalı istatistik ve geçerlik güvenirlik. Detay Yayıncılık. Ankara.
  • 23. Software DS. (2007). Software for the Scouting and analysis of volleyball matches.
  • 24. Akarçeşme C. (2010). Elit bayan voleybolunda maç sonucunu açiklayan değişkenlerin lojistik regresyon yöntemi ile belirlenmesi ve maç kazanmaya yönelik olasilik modelinin tahmini. Gazi Üniversitesi Sağlik Bilimlerİ Enstitüsü Beden Eğitİmi ve Spor Anabilimdalı. Ankara.
  • 25. Loureiro M., Hurst M., Valongo B., Nikolaidis P., Laporta L., Afonso J. (2017). A comprehensive mapping of high-level men’s volleyball gameplay through social network analysis: analysing serve, side-out, side-out transition and transition. Montenegrin Journal of Sports Science and Medicine. 6(2), 35-41.
  • 26. Paulo A., Zaal FTJM., Fonseca S., Araújo D. (2016). Predicting volleyball serve-reception. Frontiers in Psychology. 7, 1694.
  • 27. Marcelino R., Mesquita I., Afonso J. (2008). The weight of terminal actions in Volleyball. Contributions of the spike, serve and block for the teams’ rankings in the World League 2005. International Journal of Performance Analysis in Sport. 8(2), 1-7.
  • 28. Silva M., Lacerda D., João PV. (2014). Game-related volleyball skills that influence victory. Journal of Human Kinetics. 41(1), 173-179.
  • 29. Eom HJ., Schutz RW. (1992). Statistical analyses of volleyball team performance. Research Quarterly for Exercise and Sport. 63(1), 11-8.
  • 30. Oliveira A., Vaz L., Pastore J., João PV. (2018). Discriminate scoring skills and non-scoring skills according to results in the Brazilian men’s volleyball Super League. Montenegrin Journal of Sports Science and Medicine. 7(1), 73-79.
  • 31. Peña J., Rodriguez-Guerre j., Buscà B., Serra N. (2013). Which skills and factors better predict winning and losing in high-level men’s volleyball? Journal of Strength and Conditioning Research. 27(9), 2487-2493.
  • 32. Fernandez-Echeverria C., Mesquita I., González-Silva J., Claver F., Moreno MP. (2017). Match analysis within the coaching process: a critical tool to improve coach efficacy. International Journal of Performance Analysis in Sport. 17(1-2), 149-163.
  • 33. Afonso J, Mesquita, I., Marcelino, R. & da Silva, JA. (2010). Analysis of the setter’s tactical action in high-performance women’s volleyball. Kinesiology. 42(1), 82-89.
  • 34. Alexandros L., Athanasios M. (2011). The setting pass and performance indices in Volleyball. International Journal of Performance Analysis in Sport. 11(1), 34-39.
  • 35. Rodriguez-Ruiz D., Quiroga Miriam E., Miralles Jose A., Sarmiento S., de Saá Y., García-Manso Juan M. (2011). Study of the technical and tactical variables determining set win or loss in top-level european men's volleyball. Journal of Quantitative Analysis in Sports. 7(1).
  • 36. Ugrinowitsch H., Lage GM., Santos-Naves SPD., Dutra LN., Carvalho MFSP., Ugrinowitsch AAC., Benda RN. (2014). Transition I efficiency and victory in volleyball matches. 20(1), 42-46.
  • 37. 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.
There are 37 citations in total.

Details

Primary Language Turkish
Subjects Sports Medicine
Journal Section Research Article
Authors

Faik Güneş 0000-0003-2939-8756

Cengiz Akarçeşme 0000-0001-6231-0950

Publication Date August 3, 2020
Submission Date March 17, 2020
Acceptance Date July 2, 2020
Published in Issue Year 2020 Volume: 14 Issue: 2

Cite

APA Güneş, F., & Akarçeşme, C. (2020). ELİT ERKEK VOLEYBOL TAKIMLARININ PAS DAĞILIMI SERVİS KARŞILAMA KALİTESİ VE TAKIM SIRALAMASI AÇISINDAN DEĞERLENDİRİLMESİ. Beden Eğitimi Ve Spor Bilimleri Dergisi, 14(2), 202-213.

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