The Relationship Between Shoots Taken in the Turkish Super League 2020-2021 Season and the End of Season Success Ranking
DOI:
https://doi.org/10.5281/zenodo.14581125Anahtar Kelimeler:
Football, Shooting Pass Zone, Shooting Zone, Analysis, Match AnalysisÖzet
The aim of the study is to examine the shots taken by the teams finishing in the top 4 and bottom 4 in the Turkish Super League 2020-21 season; To examine the relationship between the parameters of attack style (AS), pass style (PS), shooting action (SA), ball kicking style (BKS), shot zone (SZ) and shooting pass zone (SPZ) and shooting result (SR) with the end-of-season point rankings. As a result, the differences between successful and unsuccessful teams were examined according to the shoots taken and the end-of-season point rankings. In the study, all shots taken by the teams in the top 4 and bottom 4 according to the points ranking in the Turkish Super League 2020-21 season were analyzed.
SPSS 26.0 program was used for statistical analysis. Descriptive statistical methods were used to evaluate the study data. For the normal distribution of the data, the Shapiro Wilk test was applied to check the skewness and kurtosis values. Shots made as a result of the data collected; It was analyzed according to the parameters of attacking style, passing style, ball kicking style, shooting action, shooting results and success situation.
As a result; A statistically significant difference was found between the teams in the first 4 places in the end-of-season points ranking and bottom 4 in the CPB, SZ and SS parameters (p <0.05). As a result, in the light of these data, it can be concluded that the shoot is made with a direct kick from the foot after a flowing play, from the Outer Lane 1 (OL1) or Inside Lane (IL4) CPBs, from the pass thrown from the ground to the Middle Goal Zone 2 (MGZ2) shooting zone, the shoot increases the goal scoring rate has been determined. It is recommended that training and match plans be planned accordingly.
Referanslar
Almeida, C. H., Ferreira, A. P., & Volossovitch, A. (2014). Offensive sequences in youth soccer: Effects of experience and small-sided games. Journal of Human Kinetics, 41(1), 119-129. https://doi.org/10.2478/hukin-2014-0042
Anderson, C., & Sally, D. (2020). *The Numbers Game: Why Everything You Know About Football is Wrong. Penguin Books.
Bradley, P. S., O'Donoghue, P. G., Wooster, B., & Tordoff, P. (2013). The reliability of ProZone match analysis. Journal of Sports Sciences, 25(6), 555-565. https://doi.org/10.1080/02640410600711899
Carling, C., Bloomfield, J., Nelsen, L., & Reilly, T. (2005). The role of motion analysis in elite soccer: Contemporary performance measurement techniques and work-rate data. Sports Medicine, 38(10), 847-865. https://doi.org/10.2165/00007256-200838100-00001
Carling, C., Williams, A. M., & Reilly, T. (2013). Handbook of soccer match analysis: A systematic approach to improving performance. Routledge.
Castellano, J., Casamichana, D., & Lago-Peñas, C. (2012). The influence of playing formation on the outcomes of the match in professional soccer. Journal of Human Kinetics, 35(1), 111-117. https://doi.org/10.2478/v10078-012-0004-x
Gómez, M. Á., Gómez-Lopez, M., Lago, C., & Sampaio, J. (2013). Effects of game location and final outcome on game-related statistics in each zone of the soccer pitch in professional football. European Journal of Sport Science, 12(5), 393-398. https://doi.org/10.1080/17461391.2011.566373
Hughes, M. D., & Franks, I. M. (2012). *Essentials of Performance Analysis in Sport. Routledge.
Hughes, M., & Bartlett, R. (2002). The use of performance indicators in performance analysis. Journal of Sports Sciences, 20(10), 731-748. https://doi.org/10.1080/026404102320675618
Lago-Peñas, C., Dellal, A., & Chamorro, M. (2010). The influence of playing formation on the outcomes of the match in professional soccer. Journal of Sports Sciences, 28(13), 1399-1404. https://doi.org/10.1080/02640414.2010.485939
Lago, C., Lago-Peñas, C., & Dellal, A. (2010). Ball possession strategies in elite soccer according to the evolution of the match-score: The influence of situational variables. Journal of Human Kinetics, 25(1), 93-100. https://doi.org/10.2478/v10078-010-0036-z
Mackenzie, R., & Cushion, C. (2013). Performance analysis in sport: The role of technology and its impact on decision-making. Journal of Sports Sciences, 31(3), 272-281. https://doi.org/10.1080/02640414.2012.724146
Memmert, D., Lemmink, K. A. M., & Sampaio, J. (2021). The use of big data and machine learning in football: Current trends and future directions. Sports Medicine, 51(8), 1547-1565. https://doi.org/10.1007/s40279-021-01431-9
Rampinini, E., Impellizzeri, F. M., Castagna, C., Coutts, A. J., & Wisløff, U. (2007). Technical performance during soccer matches of the Italian Serie A league: Effect of fatigue and competitive level. Journal of Science and Medicine in Sport, 12(1), 227-233. https://doi.org/10.1016/j.jsams.2007.10.002
Sarmento, H., Anguera, M. T., Pereira, A., & Araújo, D. (2018). Talent identification and development in male football: A systematic review. Sports Medicine, 48(4), 907-931. https://doi.org/10.1007/s40279-017-0851-7
Wright, C., Atkins, S., & Jones, B. (2011). An analysis of elite soccer teams’ shot locations in relation to success and failure. International Journal of Performance Analysis in Sport, 11(1), 112-126. https://doi.org/10.1080/24748668.2011.11868534
Wunderlich, F., Greco, E., & Lanzini, M. (2021). The impact of randomness on football outcomes: Analyzing match results in the English Premier League. Journal of Sports Analytics, 7(4), 223-234. https://doi.org/10.3233/JSA-200081
İndir
Yayınlanmış
Nasıl Atıf Yapılır
Sayı
Bölüm
Lisans
Telif Hakkı (c) 2024 Emrullah Akçal, Ali Kızılet, Tuba Kızılet, Alper Çıkıkcı
Bu çalışma Creative Commons Attribution 4.0 International License ile lisanslanmıştır.