Comparison of the Performance of “Successful” Teams in Different Leagues

Öz

This study aimed to compare the offensive and defensive performances of teams from the English Premier League, Spanish La Liga, and Italian Serie A, which qualified for the UEFA Champions League in the 2023-2024 season. The research analyzed 30 performance variables that teams and their opponents carried out in the same games. An observational and cross-sectional research model was used, examining statistics from a total of 493 matches involving 13 teams qualified for the Champions League from the three leagues. Data were obtained and filtered from OPTA within Stats Perform and SPSS (v. 25.0) software was used for statistical analysis. Differences among the leagues were statistically evaluated using ANOVA and Bonferroni post-hoc analysis (p<0.05). Results revealed that Premier League teams significantly outperformed the other two leagues in offensive parameters (passes, successful passes, successful pass percentage, and goal opportunities). While La Liga teams had longer average successful passing distances, Serie A teams showed higher performance in aerial duels and aerial duels won. No significant differences were found in expected goals (xG) allowed to opponents among the leagues. Successful teams in the Premier League were observed to adopt a more dominant style, limiting their opponents’ offensive actions. These findings highlight notable differences in offensive and defensive strategies among teams from different leagues.

Anahtar Kelimeler

• Football
• match analysis
• technical variables

Farklı Liglerdeki ‘’Başarılı’’ Takımların Performanslarının Karşılaştırılması

Öz

Bu çalışma, 2023-2024 sezonunda İngiltere Premier League, İspanya La Liga ve İtalya Serie A’da yer alan, UEFA Şampiyonlar Ligi’ne katılma hakkı kazanan takımların hücum ve savunma performanslarının karşılaştırılması amacıyla yapılmıştır. Araştırma kapsamında, takımların ve aynı maçtaki rakiplerinin gerçekleştirdiği 30 adet performans değişkeni analiz edilmiştir. Çalışmada, gözlemsel ve kesitsel araştırma modeli kullanılmış olup, üç farklı ligde Şampiyonlar Ligi’ne katılma hakkı kazanan 13 takımın toplam 493 müsabakasına ait istatistikler incelenmiştir. Veriler, Stats Perform bünyesinde yer alan OPTA’dan temin edilerek filtrelenmiş, istatistiksel analizler için SPSS (v. 25.0) programı kullanılmıştır. ANOVA testi ve Bonferroni post-hoc analizi ile ligler arasındaki farklılıklar değerlendirilmiştir (p<0.05). Çalışma sonucunda Premier League takımlarının hücum değişkenlerinde (pas, isabetli pas, isabetli pas yüzdesi ve gol pozisyonları) diğer iki lige göre anlamlı ölçüde üstün oldukları tespit edilmiştir. La Liga takımlarının ortalama isabetli pas mesafeleri daha uzun iken, Serie A takımları hava topu mücadeleleri ve kazanılan hava topu mücadelelerinde daha yüksek performans sergilemiştir. Liglerin rakiplerine verdiği xG değerlerinde anlamlı bir fark bulunmamıştır. Premier League'deki başarılı takımların daha baskın bir oyun sergileyerek rakiplerine daha az hücum aksiyonu imkânı tanıdığı gözlenmiştir. Bu bulgular, farklı liglerdeki takımların hücum ve savunma stratejilerinde belirgin farklılıklar olduğunu ortaya koymaktadır.

Anahtar Kelimeler

• Futbol
• maç analizi
• teknik değişkenler

Kaynakça

1. Araya, J. A., & Larkin, P. (2013). Key performance variables between the top 10 and bottom 10 teams in the English Premier League 2012/13 season. Human Movement, Health and Coach Education (HMHCE), 2, 17–29.
2. Arı, E., Apaydın, N., & İnce, A. (2022). Türkiye Süper Liginde 2021-2022 futbol sezonunun gol zaman analizi. Gaziantep Üniversitesi Spor Bilimleri Dergisi, 7(4), 358-374.
3. Arı, E., & Apaydın, N. (2023). 2022 Katar Dünya Kupası gol analizi: Grup aşamasındaki performansa yönelik bir araştırma. TOJRAS, 12(4), 558–565.
4. Başkaya, G., & Karaca, K. C. (2023). 2022 FIFA Dünya Kupası: Performans ve başarı ilişkisi. Journal of ROL Sport Sciences, 4(3), 1117–1138. https://doi.org/10.5281/zenodo.8350420
5. Bilgin, S., & Bozyilan, E. (2024). Analysis of goals scored in World Cup matches: 2014, 2018 and 2022 championships. Journal of ROL Sport Sciences, 5(4), 594–609. https://doi.org/10.70736/jrolss.482 Boscá, J. E., Liern, V., Martínez, A., & Sala, R. (2009). Increasing offensive or defensive efficiency? An analysis of Italian and Spanish https://doi.org/10.1016/j.omega.2006.10.002 football. Omega, 37(1), 63-78.
6. Bradley, P. S., Carling, C., Gomez Diaz, A., Hood, P., Barnes, C., Ade, J., Boddy, M., Krustrup, P., & Mohr, M. (2013). Match performance and physical capacity of players in the top three competitive standards of English professional soccer. Human https://doi.org/10.1016/j.humov.2013.06.002 Movement Science, 32(4), 808–821.
7. Brîndescu, S., Datcu, F. R., & Buda, I. A. (2021). Study on the efficiency of advanced pressing in the Premier League. Baltic Journal of Health and Physical Activity, 13(6), 11.
8. Castellano, J., & Pic, M. (2019). Identification and preference of game styles in LaLiga associated with match outcomes. International Journal of Environmental Research and Public Health, 16(24), 5090. https://doi.org/10.3390/ijerph16245090

9. Coşkuner, Z., Büyükçelebi, H., & Kurak, K. (2020). Türkiye Süper Ligi’ndeki oyun içi değişkenlerin analizi. Germenica Beden Eğitimi ve Spor Bilimleri Dergisi, 1(1), 46–54.
10. Dellal, A., Chamari, K., Wong, D. P., Ahmaidi, S., Keller, D., & Barros, R. (2011). Comparison of physical and technical performance in European soccer match-play: FA Premier League and La Liga. European Journal of Sport Science, 11, 51–59. https://doi.org/10.1080/17461391.2010.481334.
11. Field, A. (2013). Discovering statistics using IBM SPSS statistics (4th ed.). SAGE Publications.
12. Gai, Y., Volossovitch, A., Lago, C., & Gómez, M. Á. (2019). Technical and tactical performance differences according to player’s nationality and playing position in the Chinese Football Super League. International Journal of Performance https://doi.org/10.1080/24748668.2019.1644804 Analysis in Sport, 19(4), 632–645.
13. Güneş, K., & Bozdoğan, T. (2024). Comparison of Turkish clubs with English and German clubs toward modern soccer statistics. Spor Eğitim Dergisi, 8(1), 22–39. https://doi.org/10.55238/seder.1401796
14. Gürkan, O. (2023). Futbolda bazı teknik parametrelerin maç konumu, maç sonucu ve lig sıralamasına göre incelenmesi (2021/2022 sezonu Türkiye Futbol Süper Ligi örneği). Mediterranean Journal of Sport Science, 6(1), 326-340. https://doi.org/10.38021/asbid.1199512
15. Kurak, K., Büyükçelebi, H., & Açak, M. (2021). Analysis of the Italian football in the 2016 European football championship. European Journal of Physical Education and Sport Science, 6(12). https://doi.org/10.46827/ejpe.v6i12.3684
16. Liu, H., Gómez, M. A., Gonçalves, B., & Sampaio, J. (2016). Technical performance and match-to-match variation in elite football teams. Journal of Sports Sciences, 34(6), 509–518.
17. Manna, I., Khanna, G. L., & Dhara, P. C. (2011). Effect of training on morphological, physiological and biochemical variables of U-19 soccer players. Baltic Journal of Health and Physical Activity, 3(4), 237 247.
18. Oberstone, J. (2011). Comparing team performance of the English Premier League, Serie A, and La Liga for the 2008-2009 season. Journal of Quantitative Analysis in Sports, 7(1). https://doi.org/10.2202/1559 0410.1220. Pappalardo, L., & Cintia, P. (2017). Quantifying the relation between performance and success in soccer. arXiv preprint, arXiv:1705.00885. https://arxiv.org/abs/1705.00885
19. Rampinini, E., Impellizzeri, F. M., Castagna, C., Coutts, A. J., & Wisløff, U. (2009). 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.
20. Redwood-Brown, A. (2008) Passing patterns before and after goal scoring in FA Premier League Soccer, International Journal of Performance Analysis in Sport, 8(3) 172-182.
21. Rocha Lima, E. M., Tertuliano, I. W., & Fischer, C. N. (2021). The influence of crosses, shots, corner kicks and defensive movements in the results of Premier League matches. Research, Society and Development, 10(16), e477101624072. https://doi.org/10.33448/rsd-v10i16.24072
22. Rue, H., & Salvesen, O. (2000). Prediction and retrospective analysis of soccer matches in a league. Journal of the Royal Statistical Society: Series D (The Statistician), 49, 399–418. https://doi.org/10.1111/1467 9884.00243
23. Sarmento, H., Pereira, A., Matos, N., Campaniço, J., Anguera, M. T., & Leitão, J. (2013). English Premier League, Spain’s La Liga and Italy’s Serie A - What’s different? International Journal of Performance Analysis in Sport, 13(3), 773-789. https://doi.org/10.1080/24748668.2013.11868679
24. Tabachnick, B. G., & Fidell, L. S. (2013). Using multivariate statistics (6th ed.). Pearson.
25. Yi, Q., Groom, R., Dai, C., Liu, H., & Gómez Ruano, M. Á. (2019). Differences in technical performance of players from ‘The Big Five’ European football leagues in the UEFA Champions League. Frontiers in Psychology, 10, 2738. https://doi.org/10.3389/fpsyg.2019.0