SavedAdd your journal

Journals / Uluslararası Spor Egzersiz ve Antrenman Bilimi Dergisi / 2026 / Cilt: 4 Sayı: 2

Affects of defense unit on score (goals) in soccer

Halil Orbay Çobanoğlu(Anadolu University Faculty of Sports Sciences)0000-0002-1305-9496
Mustafa Serdar Terekli(Anadolu University Faculty of Sports Sciences)0000-0003-4775-2798
Pages
57–63
Publication Date
2018-07-04
🏛️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)

Pearson correlation analysis was used to reveal the correlation among goals, positive defence rate on the 1 st and 2 nd zone.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Aim: The aim of the study was to research correlation among goals and positive defensive unit rate on the 1 st and 2 nd zone.
📊
Key Findings & Data:The universe of the research constituted the matches played by Turkish National Soccer Team. 10 matches were selected with the same characteristics in terms of the same lineup of the team played in 2012-2013 during World Cup 2014 Elimination Group as the sample of the Turkish National Soccer Team.
💡
Conclusion & Impact:Pearson correlation analysis was used to reveal the correlation among goals, positive defence rate on the 1 st and 2 nd zone.
🔬Design:Modeling & Simulation
📍Scope:2012-2013 Verileri
⚙️Variables:Soccer · Match Analysis · Defence Unit

Abstract

Aim: The aim of the study was to research correlation among goals and positive defensive unit rate on the 1 st and 2 nd zone. Methods: This research was conducted in correlational scan model. The universe of the research constituted the matches played by Turkish National Soccer Team. 10 matches were selected with the same characteristics in terms of the same lineup of the team played in 2012-2013 during World Cup 2014 Elimination Group as the sample of the Turkish National Soccer Team. Defending was examined as positive and negative for all positions by watching matches' videos and taking notes and after that positive defence rate on the 1 st zone and positive defence rate on 2 nd zone was obtained. SPSS 18.0 for Windows statistical software program was used for statistical analysis of the research’s data and the level of significance was set at p<0.05. Pearson correlation analysis was used to reveal the correlation among goals, positive defence rate on the 1 st and 2 nd zone.

🔖

Cite This Article

Çobanoğlu, H. O., Terekli, M. S. (2018). Affects of defense unit on score (goals) in soccer. Uluslararası Spor Egzersiz ve Antrenman Bilimi Dergisi, Cilt: 4 Sayı: 2, 57–63. https://doi.org/10.18826/useeabd.401683

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (17)

  1. Amplified Soccer Athlete (2016). How to Defend Properly as a Soccer Team. Retrieved from http://www.yarmouthcolts.com/wp-content/uploads/sites/325/2017/03/How-to-Defend-Properly-as-a-Soccer-Team.pdf
  2. Brownlee, B. (2006). Tactics, Bruce’s Training Book: ‘’Team Defending’’. Retrieved from http://www.soccercoachingnotes.com/coaching/tactical/team-defending-in-soccer.pdf
  3. Burwitz, L. (1997). Developing and acquiring football skills. In T. Reilly, J. Bangsbo, & M. Hughes (Eds.), Science and football III (pp. 201–206). London: E & FN Spon.
  4. Clemente, F.M., Martins, F.M.L., Mendes, R.S. and Figueiredo, A.J. (2014). A systemic overview of football game: The principles behind the game. Journal of Human Sport & Exercise, 9(2), 656-667.
  5. Costa, I., Garganta, J., Greco, P., Mesquita, I., Silva, B. Müller, E., Castelao, D., Rebelo, A. & Seabra, (2010). A. Analysis of Tactical Behaviours in Small-Sided Soccer Games: Comparative Study Between Goalposts of Society Soccer and Futsal. The Open Sports Sciences Journal,3, 10-12.
  6. Filho, E., Basevitch, I., Yang, Y., Tenenbaum, G. (2013). Is the Best Defence a Good Offense? Comparing the Brazilian and Italian Soccer Styles. Kinesiology, 45(2), 213-221.
  7. Grehaigne, J.F. (1991). A new method of goal analysis. Science and Football, 5, 10-16.
  8. Knudsen, N.S. & Andersen, T. (2015). Methodology to detect gaps in a soccer defence. International Journal of Computer Science in Sport, 14 (2), 18-24.
  9. Olsen, E., & Larsen, O. (1997). Use of match analysis by coaches. In T. Reilly, J. Bangsbo, & M. Hughes (Eds.), Science and football III (pp. 209–220). London: E & FN Spon.
  10. Sarmento, H., Marcelino, R., Anguera, M.T., Jorge, C., Matos, N. And Leitao, J.C. (2014). Match analysis in football: a systematic review. Journal of Sports Sciences, 32 (20), 1831-1843. https://doi.org/10.1080/02640414.2014.898852.
  11. Suzuki, K., & Nishijima, T. (2004). Validity of a Soccer Defending Skill Scale (SDSS) using game performances. International Journal of Sport and Health Science, 2, 34-49.
  12. Suzuki, K. & Nishhijima, T. (2006). Cross Validity and Factorial Validity of the Expanded Soccer Attacking Skill Scale (SASS). Human Performance Measurement,3, 1-10.
  13. Tenga, A., Kanstas, L., Ronglan, T. & Bahr, R. (2009). Developing a New Method for Team Match Performance Analysis in Professional Soccer and Testing its Reliability. International Journal of Performance Analysis of Sport, 9, 8-25.
  14. Tenga, A., Holme, I., Ronglan, L.T. & Bahr, R. (2010a). Effect of playing tactics on achieving score-box possessions in a random series of team possessions from Norwegian professional soccer matches. Journal of Sports Sciences, 28(3), 245–255.
  15. Tenga A., Holme, I., Ronglan, L.T. & Bahr, R. (2010b). Effect of playing tactics on goal scoring in Norwegian professional soccer. Journal of Sports Sciences, 28 (3), 237-244.
  16. The Overlapping Run (2017). Back Four Defending-Part 1.Retrieved from https://theoverlapblog.wordpress.com/2017/01/17/back-four-defending-part-1/
  17. Viera, A.J. & Garrett, J.M. (2005). Understanding Interobserver Agreement: The Kappa Statistic, Family Medicine, 37(5), 360-363.