Journals / Avrasya Spor Bilimleri ve Eğitim Dergisi / 2025 / Cilt: 7 Sayı: 2

Time Series Empirical Analysis of Tactical Formation Preferences in Football Management

Pages
250–263
Publication Date
2025-09-30
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The findings reveal formation preferences and which formations are played against impact match success; this highlights the critical role of data-driven tactical analyses as decision-support tools for coaches.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This study examined the impact of tactical formations on match success based on a comprehensive dataset of 66,143 professional football matches played in 44 European countries affiliated with UEFA between 2013 and 2025.
📊
Key Findings & Data:The study analysed the frequency of use of 30 different formations by home and away teams and the scoring performance of these formations in matches.
💡
Conclusion & Impact:The findings reveal formation preferences and which formations are played against impact match success; this highlights the critical role of data-driven tactical analyses as decision-support tools for coaches.
🔬Design:Araştırma Makalesi
📍Scope:2013 Verileri
⚙️Variables:Sports management · Football formation · Tactical formation

Abstract

This study examined the impact of tactical formations on match success based on a comprehensive dataset of 66,143 professional football matches played in 44 European countries affiliated with UEFA between 2013 and 2025. The study analysed the frequency of use of 30 different formations by home and away teams and the scoring performance of these formations in matches. The most frequently used formations are 4-2-3-1, 4-3-3, and 4-4-2, which are evaluated in detail in terms of prevalence and average points. The 4-2-3-1 formation stood out regarding usage intensity and its scoring advantage against various opposing formations. In contrast, the offensive potential of the 4-3-3 formation created significant differences in favour of the home team in some matches. Analysis based on formation matchups shows that home teams have an average advantage in all matchups; for example, in the 4-3-3/5-3-2 matchup, the home team's average score reached 2.016, while the away team's average score remained at 0.782. The findings reveal formation preferences and which formations are played against impact match success; this highlights the critical role of data-driven tactical analyses as decision-support tools for coaches. This study, which we expect to serve as a guide for coaches, was conducted using a dataset that can be considered big data in the literature. The findings aim to support coaches in developing data-driven strategies during competition preparation periods.

🔖

Cite This Article

Karaman, T., Özman, C. (2025). Time Series Empirical Analysis of Tactical Formation Preferences in Football Management. Avrasya Spor Bilimleri ve Eğitim Dergisi, Cilt: 7 Sayı: 2, 250–263. https://doi.org/10.47778/ejsse.1760201

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (40)

  1. Açak, M., & Kurak, K. (2016). Investigation of 2016 European Football Championship's four most successful teams' game systems and offensive variations. Journal of Physical Education and Sport Sciences, 20(3), 71-91.
  2. Aquino, R., Machado, J. C., Clemente, F. M., Praça, G. M., Gonçalves, L. G., Melli-Neto, B. & Carling, C. (2019). Comparisons of ball possession, match running performance, player prominence and team network properties according to match outcome and playing formation during the 2018 FIFA World Cup. International Journal of Performance Analysis in Sport, 19(2), 1026–1037. https://doi.org/10.1080/24748668.2019.1689753
  3. Arjol-Serrano, J. L., Lampre, M., Díez, A., Castillo, D., Sanz-López, F., & Lozano, D. (2021). The influence of playing formation on physical demands and technical-tactical actions according to playing positions in an elite soccer team. International Journal of Environmental Research and Public Health, 18(8), 4148. https://doi.org/10.3390/ijerph18084148
  4. Asian-Clemente, J., Suarez-Arrones, L., Requena, B., & Santalla, A. (2022). Influence of tactical behaviour on running performance in the three most successful soccer teams during the competitive season of the Spanish first division. Journal of Human Kinetics, 82(1), 135–144. https://doi.org/10.2478/hukin-2022-0040
  5. Bangsbo, J., & Peitersen, B. (2000). Soccer systems & strategies. Human Kinetics.
  6. Baptista, I., Johansen, D., Figueiredo, P., Rebelo, A., & Pettersen, S. A. (2019). A comparison of match-physical demands between different tactical systems: 1-4-5-1 vs 1-3-5-2. Plos One, 14(4), Article e0214952. https://doi.org/10.1371/journal.pone.0214952
  7. Bauer, P., Anzer, G., & Shaw, L. (2023). Putting team formations in association football into context. Journal of Sports Analytics, 9(1), 39–59. https://doi.org/10.3233/jsa-220620
  8. Bush, M., Barnes, C., Archer, D. T., Hogg, B., & Bradley, P. S. (2015). Evolution of match performance parameters for various playing positions in the English Premier League. Human Movement Science, 39, 1–11. https://doi.org/10.1016/j.humov.2014.10.003
  9. Calder, A. R., & Gabbett, T. J. (2022). Influence of tactical formation on average and peak demands of elite soccer match-play. International Journal of Strength and Conditioning, 2(1), 1-10. https://doi.org/10.47206/ijsc.v2i1.75
  10. Dufour, M., Phillips, J., & Ernwein, V. (2017). What makes the difference? Analysis of the 2014 World Cup. Journal of Human Sport and Exercise, 12(3), 616–629.
  11. Emre, T. (2000). Measurement and comparison of strength parameters of professional and amateur soccer players in Niğde province. Published Master's Thesis, Niğde University, Institute of Social Sciences, Department of Physical Education and Sports, Niğde.
  12. Forcher, L., Altmann, S., Gross, T., Woll, A., Jekauc, D., & Wäsch, H. (2022). Center backs work hardest when playing in a back three: The influence of tactical formation on physical and technical match performance in professional soccer. PLoS ONE, 17(3), Article e0265501. https://doi.org/10.1371/journal.pone.0265501
  13. Goes, F., Brink, M. S., Elferink‐Gemser, M. T., Kempe, M., & Lemmink, K. (2020). The tactics of successful attacks in professional association football: Large-scale spatiotemporal analysis of dynamic subgroups using position tracking data. Journal of Sports Sciences, 39(5), 523-532. https://doi.org/10.1080/02640414.2020.1834689
  14. Goldblatt, D., & Acton, J. (2018). The Soccer Book. DK publishing.
  15. Gonzales-Rodinas, J., Moreno-Pérez, V., López-Del Campo, R., Resta, R., & Del Coso, J. (2023). Evolution of tactics in professional soccer: An analysis of team formations from 2012 to 2021 in the Spanish LaLiga. Journal of Human Kinetics, 88, 207–216. https://doi.org/10.5114/jhk/167468
  16. Harrison, W. (2011). Coaching the 4-2-3-1. Reedswain publishing.
  17. Harrold M. (2016). UEFA EURO 2016 France technıscher berıcht. Switzerland, Nyon, 42–54.
  18. İmamoğlu, R., Bostancı, O., Kabadayı, M., & İmamoğlu, M. (2015). Analyzing the match results of the teams competing in the Turkish Spor Toto Super League in the 2012-2013 season according to different parameters. International Journal of Sport Culture and Science, 3(4), 159-166.
  19. Işık, T., & Gençer, R.T. (2007). Technical analysis of team performance in basketball: Evaluation of home and away performances. Journal of Sport Sciences, 18(3), 101-108.
  20. Jones, R., & Tranter, T. (1999). Soccer strategies: Defensive and attacking tactics. Reedswain Inc.
  21. Karabıyık, H. & Durmuş, T. (2023). Analyzing collective behaviours in the FIFA World Cup Qatar 2022. SPORMETRE Journal of Physical Education and Sports Sciences, 21(3), 226-236. https://doi.org/10.33689/spormetre.1249071
  22. Karaman, T. (2025). Data-driven decision-making process and it’s impact on football club performance. Eurasian Research in Sport Science, 10(1), 87-98. https://doi.org/10.29228/ERISS.58
  23. Köse, U., & Kızılet, A. (2025). Comparison of Turkish league and Champions League in women's football: Offense and defense analysis. International Journal of Sport Exercise and Training Sciences - IJSETS, 11(2), 160-168. https://doi.org/10.18826/useeabd.1617947
  24. Kurak, K., & Açak, M. (2018). Analyzing the 2016 European Football Championship, the four most successful teams' playing systems and offensive variations. Atatürk University Journal of Physical Education and Sport Sciences, 20(3), 1–21.
  25. Li, Z. (2024). Comparative study on technical and tactical application characteristics in different football formations. Journal of Medicine and Physical Education, 1(5), 47–53. https://doi.org/10.62517/jmpe.202418507
  26. Liang, Y., Li, T., Xu, H., & Zhang, P. (2025). Differences in spatiotemporal pressure and performance between Chinese and German elite youth football players during matches. Frontiers in Psychology, 16, Article 1543287 https://doi.org/10.3389/fpsyg.2025.1543287
  27. Lotfy, M., & Al-Basyouni, B. (2018). A comparative analytical study of the effectiveness of offensive movements between playing methods (4/4/2- 4/2/3/1- 4/3/3) in some matches of the 2014 World Cup in Brazil. Scientific Journal of Physical Education Research and Studies, 35, 267–281. https://doi.org/10.21608/jsps.2018.47639
  28. Mahrudinda, M., Supian, S., Subiyanto, S., & Chaerani, D. (2020). Optimization of the best line-up in football using a binary integer programming model. International Journal of Global Operations Research, 1(3), 114-122. https://doi.org/10.47194/ijgor.v1i3.45
  29. Modrić, T., Veršić, Š., & Sekulić, D. (2020). Position-specific running performances in professional football (soccer): influence of different tactical formations. Sports, 8(12), Article 161. https://doi.org/10.3390/sports8120161
  30. Păun, D., & Păun, L. (2021). Advantages and disadvantages of the 1-4-2-3-1 tactical game system. Series IX Sciences of Human Kinetics, 14(63)(1), 68-74. https://doi.org/10.31926/but.shk.2021.14.63.1.9
  31. Reddy, M. P. (2024). The impact of tactical formations on match outcomes in professional football. ShodhKosh: Journal of Visual and Performing Arts, 5(3), 1569-1572 https://doi.org/10.29121/shodhkosh.v5.i3.2024.5051
  32. Rein, R., & Memmert, D. (2016). Big data and tactical analysis in elite soccer: Future challenges and opportunities for sports science. Springer Plus, 5(1), Article 1410. https://doi.org/10.1186/s40064-016-3108-2
  33. Samolis, V., Stafylidis, A., Vlachakis, P., Trampas, A., Karampelas, D., & Michailidis, Y. (2025). The running performance of elite under-19 football players in matches with a 1-4-2-3-1 formation about their playing position. Applied Sciences, 15(13), Article 6961. https://doi.org/10.3390/app15136961
  34. Shaojie, W., & Fujun, X. (2023). Effects of different formations on the running performance of high-level football players. Journal of Physical Medicine Rehabilitation Studies Reports, 5(3), 1-9. https://doi.org/10.47363/jpmrs/2023(5)171
  35. Vieth, N. (2016). Deutscher fussball verband. Deuts.
  36. Wilson, J. (2017). History of soccer tactics. Ithaki Publications.
  37. Yıldırım, S., & Göral, K. (2023). Investigation of the relationship between the tactical skills used by football players and their maximum performance levels. Turkish Journal of Sport and Exercise, 25(3), 472-481. https://doi.org/10.15314/tsed.1363117
  38. Yi, Q., Jia, H., Liu, H., & Ángel-Gómez, M. (2018). Technical demands of different playing positions in the UEFA Champions League. International Journal of Performance Analysis in Sport, 18(6), 926-937.
  39. Yüksel, H., Doğan, B., Moralı, S., & Acar, M.F. (1998). Social dimensions of violence in football. Journal of Football Science and Technology, 7(1), 8- 22.
  40. Zhang, W., Gong, B., Tao, R., Zhou, F., Gómez, M., & Zhou, C. (2024). The influence of tactical formation on physical and technical performance across playing positions in the Chinese Super League. Scientific Reports, 14(1), Article 2538. https://doi.org/10.1038/s41598-024-53113-0