The Effect Of Technical, Tactical And Market Values On Success Of The Matches Played At The 2020 Uefa Football Championship

Author :  

Year-Number: 2022-96
Language : null
Konu :
Number of pages: 1185-1189
Mendeley EndNote Alıntı Yap

Abstract

This research was conducted to analyze the effects of the technical, tactical and market values of the teams that left with winning and lossing in the 2020 European Football Championship on success.The data collected for the research were obtained from UEFA's official website https://www.uefa.com and https://transfermarkt.com. The competitions covered a total of 35 matches with a winner as a result of which the 90-minute regular time did not end in a draw. SPSS 22 package program was used for statistical analysis of the obtained data. Shapiro - Wilk test was applied to determine whether the data showed normal distribution and it was determined that the data did not show normal distribution. Mann-Whitney U test, which is one of the non-parametric tests, was used to determine the difference between two independent groups in the data that did not show normal distribution. Pearson correlation analysis was performed to determine whether there is a linear relationship between two numerical measurements in line with the specified parameters, and if so, what the direction and severity of this relationship is. The data were given as mean and standard deviation, and the p<0.05 level was considered statistically significant. According to the findings, a statistically significant difference was found between the two groups in terms of goal scored from open play, total pass, short pass, pass in the opponent's field, successful air ball, shot on target, shot in the penalty area and team market value (p<0.05).

Keywords

Abstract

Bu araştırma 2020 Avrupa Futbol şampiyonasında galibiyet ve mağlubiyetle ayrılan takımların teknik, taktik ve piyasa değerlerinin başarı üzerindeki etkilerini analiz etmek amacıyla yapılmıştır.. Araştırma için toplanan veriler UEFA’nın resmi web sitesi https://www.uefa.com ve https://transfermarkt.com adreslerinden elde edilmiştir. Müsabakalar 90 dakikalık normal süresi berabere bitmemiş olan ve sonucunda bir kazananın olduğu toplam 35 müsabakayı kapsamıştır. Elde edilen verilerin istatistiksel analizi için SPSS 22 paket programı kullanılmıştır. Verilerin normal dağılım gösterip göstermediğini belirlemek için Shapiro - Wilk testi uygulanmış ve verilerin normal dağılım göstermediği tespit edilmiştir. Normal dağılım göstermeyen verilerde bağımsız iki grup arasındaki farklılığı tespit etmek için, non parametrik testlerden Mann-Whitney U testi uygulanmıştır. Belirtilen parametreler doğrultusunda iki sayısal ölçüm arasında doğrusal bir ilişki olup olmadığını, varsa bu ilişkinin yönünü ve şiddetinin ne olduğunu belirlemek için de Pearson korelasyon analizi yapılmıştır. Veriler ortalama ve standart sapma olarak verilmiş ve istatistiksel olarak p<0,05 düzeyi anlamlı kabul edilmiştir. Elde edilen bulgulara göre, iki grup arasında açık oyundan atılan gol, toplam pas, kısa pas, rakip sahada pas, başarılı hava topu, isabetli şut, ceza saha içi şut ve takım piyasa değeri açısından istatistiksel olarak anlamlı bir farklılık bulunmuştur (p<0.05).

Keywords


  • Mitrotasios M, Armatas V. Analysis of goal scoring patterns in the 2012 European Football Championship. The

  • Mitrotasios M, Armatas V. Analysis of goal scoring patterns in the 2012 European Football Championship. The Sport Journal 2014;16.

  • Ante,L. (2019). Determinants of Transfers Fees: Evidence from the Five Major European Football Leagues. Preprints and early-stageresearch may not have been peer reviewed yet, DOI: 10.13140/RG.2.2.18356.91526/1

  • Bilgin S,Ozer U, Müniroglu S (2020). 2014-2018 dünya kupası grup sonrası yapılan maçlardaki seçilmiş futbolverilerinin kazanma ve kaybetme durumlarına göre karşılaştırılması, The Journal of International Social Research, 13(75),Sayfa:972-978.

  • Carling, C., Reilly, T., & Williams, A. (2009). Performance assessment for field sports. (Eds.). Routledge: London.Drust B., Green, M. (2013). Science and football: Evaluating the influence of science on performance. Journal of Sports Sciences, 31(13), 1377-1382.

  • Fidan,U., Yildiz, M. (2017). Reliability and validity of the new shooting accuracy measurement (SAM) system software. Journal of Sports Science, 5, 172-177.

  • Frick B (2011). Performance, salaries and contract length: empirical evidence from German Soccer. Int. J. SportFinan. 6, 87–118. Available online at: https://fitpublishing.com/content/performance-salaries-and-contract- lengthempirical-evidence-german-soccer-pp-87-118

  • Göke, S., Prinz, J., and Weimar, D. (2014). Diamonds are forever: jobmatching and career success of young workers. J. Econ. Stat. 234, 450–473. doi: 10.1515/jbnst-2014-0402

  • Göral K (2015): Passing success percentages and ball possession rates of successful teams in 2014 fifa world cup. International Journal of Science Culture and Sport. 3(1): 86-95.

  • Harrold M (2016). Uefa Euro 2016 France Technıscher berıcht. Swıtzerland, Nyon.p: 42-54.

  • Herm S., Callsen-Bracker, H.,M., Kreis, H. (2014). When the crowd evaluates soccer players’ market values: Accuracy and evaluation attributes of an online community. Sport Management Review, 17 (4), 484-492

  • Lago-Peñas, C., Lago-Ballesteros, J., & Rey, E. (2011). Differences in performance indicators between winning and losing teams in the UEFA Champions League. Journal of Human Kinetics, 27, 135–146.

  • Leıte SSW (2013). Analysis of goals in soccer World cups and the determination of the critical phase of the game. Physical Education and Sport 11:247-253.

  • Liu,H.,Hopkins, W.,Gomez,M.,A., Molinuevo,J.,S.(2013). Inter-operator reliability of live football match statistics from OPTA Sportsdata. International Journal of Performance Analysis in Sport, 13(3), 803-821

  • Liu H, Miguel A, Bruno G, Jaime S (2016). Technical Performance and Match-to-Match Variation in Elite Football Teams. J Sport Sci 2016, 34(6): 509–18.

  • Memmert,D.,Rein,R.(2018). Match Analysis, Big Data and Tactics: Current Trends in Elite Soccer. Deutsche Zeitschrift Für Sportmedizin, 69(3), 65-72.

  • Mıtrotasıos M, Armatas V (2014). Analysis of Goal Scoring Patterns in the 2012

  • Miao H., Ricardo C., Arno K. Football player's performance and market value. (2015). Conference: Proceedings ofthe 2nd workshop of sports analytics, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD)At: Porto, Portugal.

  • Moura,F.,A.,Martins, L.,E.,B. & Cunha,S., A. (2013). Analysis of football game-related statistics using multivariate techniques. Journal of Sports Sciences, 1-7.

  • Müller,O., Simons, A., Weinmann, M. (2017). Beyond crowd judgments: Data-driven estimation of market value in association football. European Journal of Operational Research 263 (2017) 611-624

  • Njororaı WWS (2013). Analysis of goals scored in the 2010 world cup soccer tournament held in South Africa. Journal of Physical Education and Sport 13:6

  • Rampinini E, Impelizzeri F, Castagna C, Coutts A, Wisloff U (2009). Technical performance during soccer matches of Italian Seria A league: Effect of fatigue and competitive level. J Sci Med Sport 12:227-233.

  • Rumpf Cm, Silva R J, Maxime H, Farooq A, Nassis G (2017). Technical and physical analysis of the 2014 FIFA World Cup Brazil: Winners vs. Losers. The Journal of sports medicine and physical fitness. 57(10), 1-15.

  • Sönmeyenmakas A (2008). Uefa sampiyonlar ligi’nde atılan gollerin analizi. Yüksek lisans tezi. Trakya üniversitesi sağlık bilimleri enstitüsü, Beden eğitimi ve spor anabilim dalı.

  • Stolen, T., Chamari, K., Castagna, C., & Wisløff, U. (2005). Physiology of soccer: An update. Journal of Sports Medicine, 35, 501–536.

  • Yue Z, Broıch H, Mester J (2014). Statistical analysis for pfhe soccer matches of the first bundesliga. International Journal of Sports Science And Coaching. 9(3):553-560.

  • Zhou C, Zhang S, Lorenzo Calvo A, Cui Y (2018). Chinese soccer association super league, 2012–2017: key performance indicators in balance games. Int J Perform Anal Sport, 2018; 18(4): 645–656

  • Winkler W, Freibichler H (1991). “Lestungsdiagnostik Beim Fussballspiel, Lestungssport” s. 25-31.

  • Winkler W (1988). “A New Apporach to the Video Analysis of tachtical Aspects of Soccer”, Science and Football, (eds. T. Reilly, A. Lees, K. Davids, W. Murphy), F.&F.N. Spon, s.363-367, London

                                                                                                                                                                                                        
  • Article Statistics