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Üst Düzey Voleybol Maçlarında Beceriye Dayalı Faktörlerin Maç Sonucuna Etkileri

Year 2024, Volume: 5 Issue: 1, 10 - 18

Abstract

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.

Ethical Statement

Bu çalışmanın, özgün bir çalışma olduğunu, çalışmanın hazırlık, veri toplama, analiz ve bilgilerin sunumu olmak üzere tüm aşamalarından bilimsel etik ilke ve kurallarına uygun davrandığını, bu çalışma için elde edilen veriler, insan ve hayvanların deneysel ya da diğer bilimsel amaçlarla kullanılması ve kişisel verilerin korunması kanunu gereğince retrospektif çalışmalar kapsamında olmamasından dolayı etik kurul iznine tabi olmadığını, çalışmanın Committee on Publication Ethics (COPE)' in tüm şartlarını ve koşullarını kabul ederek etik görev ve sorumluluklara riayet edildiğini tüm yazarlar adına beyan edildiğini bildiririm.

Thanks

Bu araştırmayı mümkün kılan Confédération Européenne de Volleyball’a veri kullanım izni verdiği için teşekkür ederiz. Katkılarından dolayı CEV Digital CEO’su Aurèle Weyeneth’e özel teşekkürler.

References

  • 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
  • Bozhkova, A. (2013). Playing efficiency of the best volleyball players in the world. Research in Kinesiology, 41(1), 92-95.
  • Bowen, G. A. (2009). Document analysis as a qualitative research method. Qualitative Research Journal, 9(2), 27-40. https://doi.org/10.3316/QRJ0902027
  • CEV. (2021a). Retrieved April 21, 2021, from https://roadtotokyo.cev.eu/en/women/matches/
  • CEV. (2021b). Retrieved July 1, 2021, from https://www-old.cev.eu/Competition-Area/Statistics.aspx?ID=1208
  • 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
  • Costa, G., Afonso, J., Brant, E., & Mesquita, I. (2012). Differences in game patterns between male and female youth volleyball. Kinesiology, 44(1).
  • 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.
  • 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
  • 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
  • George, D., & Mallery, P. (2020). IBM SPSS statistics 26 step by step: a simple guide and reference (6 ed.). Routledge.
  • 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
  • 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
  • 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.
  • 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.
  • 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.
  • 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
  • Merriam, S. B., & Tisdell, E. J. (2015). Qualitative research: A guide to design and implementation. John Wiley & Sons.
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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.
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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

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

Year 2024, Volume: 5 Issue: 1, 10 - 18

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.

Ethical Statement

I declare on behalf of all authors that this study is an original work, that we acted in accordance with the scientific ethical principles and rules in all stages of the study, including preparation, data collection, analysis and presentation of information, that the data obtained for this study are not subject to ethical committee approval as they do not fall under the scope of retrospective studies according to the law on the use of human and animal subjects for experimental or other scientific purposes and the protection of personal data, and that we accepted and complied with all the terms and conditions and ethical duties and responsibilities of the Committee on Publication Ethics (COPE).

Thanks

We would like to thank the Confédération Européenne de Volleyball for granting us the permission to use the data that made this research possible. We also extend our special thanks to Aurèle Weyeneth, the CEO of CEV Digital, for his contributions.

References

  • 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
  • Bozhkova, A. (2013). Playing efficiency of the best volleyball players in the world. Research in Kinesiology, 41(1), 92-95.
  • Bowen, G. A. (2009). Document analysis as a qualitative research method. Qualitative Research Journal, 9(2), 27-40. https://doi.org/10.3316/QRJ0902027
  • CEV. (2021a). Retrieved April 21, 2021, from https://roadtotokyo.cev.eu/en/women/matches/
  • CEV. (2021b). Retrieved July 1, 2021, from https://www-old.cev.eu/Competition-Area/Statistics.aspx?ID=1208
  • 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
  • Costa, G., Afonso, J., Brant, E., & Mesquita, I. (2012). Differences in game patterns between male and female youth volleyball. Kinesiology, 44(1).
  • 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.
  • 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
  • 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
  • George, D., & Mallery, P. (2020). IBM SPSS statistics 26 step by step: a simple guide and reference (6 ed.). Routledge.
  • 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
  • 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
  • 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.
  • 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.
  • 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.
  • 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
  • Merriam, S. B., & Tisdell, E. J. (2015). Qualitative research: A guide to design and implementation. John Wiley & Sons.
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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.
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
There are 32 citations in total.

Details

Primary Language English
Subjects Sports Science and Exercise (Other)
Journal Section Original Articles
Authors

Fatih Kaya 0000-0003-4007-9561

Serkan Paçacı 0000-0002-5902-8900

Early Pub Date March 31, 2024
Publication Date
Submission Date February 22, 2024
Acceptance Date March 25, 2024
Published in Issue Year 2024 Volume: 5 Issue: 1

Cite

APA 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, 5(1), 10-18.


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