2014 FIFA DÜNYA KUPASI ANALİZİYLE GELECEĞİN FUTBOLU

Öz

Bu çalışma, 2014 FIFA Dünya Kupasında çeyrek finale kalan sekiz takımın analizi yapılarak geleceğin futbolunu yorumlamak için yapılmıştır. Araştırma verileri, lnstat analiz sistemi ile birlikte müsabakaları yayımlayan uluslararası TV kanalı ve FIFA resmi internet sitesinden her takım için araştırmacıların belirlediği 51 farklı parametrenin analizi için elde edilmiştir. Müsabakalarda, atılan ve yenilen gollerin zaman dilimlerine göre dağılımı, bölgelere göre topa sahip olma yüzdeleri, atılan şut, isabetli şut, başarılı ve başarısız pas sayıları gibi teknik parametrelerin dağılımları analiz edilmiştir. Elde edilen veriler SPSS programında kaydedilmiş, frekans ve yüzde değerleri hesaplanarak yorumlanmıştır. 2014 Dünya kupası şampiyonu Almanya ikinci Arjantin ve üçüncü Hollanda olmuştur. Yapılan analiz sonucunda başarının tesadüf olmadığı ve sıralamanın da böyle olması gerektiği görülmüştür. Şampiyonada öne çıkan en önemli ve ana konularından birisi de sporcuların bireysel, grup ve takım taktiği konusundaki temel eğitim eksiklikleridir.

Anahtar Kelimeler

• Analiz,Dünya Kupası,Futbol

FOOTBALL OF THE FUTURE THROUGH THE ANALYSIS OF 2014 FIFA WORLD CUP

Öz

This study was conducted to interpret the football of the future by analyzing eight teams that qualified for quarter finals in 2014 FIFA (Fédération Internationale de Football Association) World Cup. Research data were obtained from lnstat analysis system together with the international TV channel broadcasting the matches and the official FIFA web site to analyze each of the 51 different items defined by the researchers. Technical parameters such as the distribution of goals scored and conceded according to time frames, ball possession ratios according to the regions, shots taken, shots on target, successful and unsuccessful passes in the matches etc. were analyzed. The data obtained were recorded to SPSS program and interpreted by calculating frequency and percentage values. The champion of 2014 World Cup was Germany, Argentina took the second place and Netherlands had the third place. As a result of the analysis, it was seen that success is not coincidence and the ranking should also be like this. One of the main, most important issues in the championship is the lack of fundamental training of players in terms of individual, group and team tactics.

Anahtar Kelimeler

• Analysis,Football,World Cup

Kaynakça

1. Adamczyk G, Luboinski L. Epidemiologia of football, related Injuries Part I. Acta Clinica, 2002; (2):236-50.
2. Helgerud J, Engen LC, Wısløff U, Hoff J. Aerobic endurance training improves soccer performance. Medicine & Science in Sports and Exercise, 2001; 33(11): 1925–1931.
3. Manna I, Khanna GL, Dhara PC. Effect of training on morphological, physiological and biochemical variables of U-19 soccer players. Baltic Journal of Health and Physical Activity, 2011; 3(4): 237-27.
4. Sajadi N, Rahnama N. Analysis of goals in 2006 FIFA World Cup, VIth World Congress on Science and Football, Book of Abstracts, January 15-20, Antalya, Turkey; 2007.
5. Shafizadeh M, Taylor M, Lago Peñas C. Performance consistency of international soccer teams in Euro 2012: a time series analysis. Journal of Human Kinetics, 2013; 38: 213-225.
6. Hughes M, Bartlett R. What is performance analysis? In: Hughes M, Franks IM, editors, The Essentials of Performance Analysis: An introduction. London: Routledge; 2008.
7. Carling C, Williams AM, Reilly T. Handbook of soccer match analysis: a systematic approach to improving performance, Abington, London- UK: Routledge; 2005.
8. Clemente F, Couceiro M, Martins F, Mendes R. Team’s performance on FIFA U17 World Cup 2011: study based on notational analysis. Journal of Physical Education and Sport, 2012; 12(1): 13-17.

9. Araya JA, Larkin P. 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), 2013; 2: 17-29.
10. Castellano J, Casamichana D, Lago C. The use of match statistics that discriminate between successful and unsuccessful soccer teams. Journal of Human Kinetics, 2012; 31: 139-147.
11. Moura FA, Martins LEB, Cunha SA. Analysis of football game-related statistics using multivariate techniques. Journal of Sports Sciences, 2013; 1-7.
12. Hughes MD, Bartlett RM. The use of performance indicators in performance analysis. Journal of Sports Sciences, 2002; 20(10): 739-754.
13. Collet C. The possession game? A comparative analysis of ball retention and team success in European and international football, 2007–2010. Journal of Sports Sciences, 2013; 31(2): 123-136.
14. Stöber B, Wormuth F. Analyse der fußball-weltmeisterschaft 2014. BDFL Bund Deutscher fussball-lehrer, Internationaler Trainer-Kongress, 2014; 6-11.
15. Bloomfield J, Polman R, O’Donoghue P. Physical demands of different positions in FA premier league soccer. Journal of Sports Science and Medicine, 2007; 6:63-70.
16. Reilly T. Motion analysis and physiological demands. In: Science and Soccer. Eds: Williams AM, Reilly T. 2nd Edition, London; E & FN Spon; 2003.