Abstract
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.
Keywords
References
- Adamczyk G, Luboinski L. Epidemiologia of football, related Injuries Part I. Acta Clinica, 2002; (2):236-50.
- 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.
- 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.
- 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.
- 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.
- Hughes M, Bartlett R. What is performance analysis? In: Hughes M, Franks IM, editors, The Essentials of Performance Analysis: An introduction. London: Routledge; 2008.
- Carling C, Williams AM, Reilly T. Handbook of soccer match analysis: a systematic approach to improving performance, Abington, London- UK: Routledge; 2005.
- 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.
- 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.
- 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.
- Moura FA, Martins LEB, Cunha SA. Analysis of football game-related statistics using multivariate techniques. Journal of Sports Sciences, 2013; 1-7.
- Hughes MD, Bartlett RM. The use of performance indicators in performance analysis. Journal of Sports Sciences, 2002; 20(10): 739-754.
- 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.
- Stöber B, Wormuth F. Analyse der fußball-weltmeisterschaft 2014. BDFL Bund Deutscher fussball-lehrer, Internationaler Trainer-Kongress, 2014; 6-11.
- 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.
- Reilly T. Motion analysis and physiological demands. In: Science and Soccer. Eds: Williams AM, Reilly T. 2nd Edition, London; E & FN Spon; 2003.
Abstract
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.
References
- Adamczyk G, Luboinski L. Epidemiologia of football, related Injuries Part I. Acta Clinica, 2002; (2):236-50.
- 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.
- 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.
- 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.
- 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.
- Hughes M, Bartlett R. What is performance analysis? In: Hughes M, Franks IM, editors, The Essentials of Performance Analysis: An introduction. London: Routledge; 2008.
- Carling C, Williams AM, Reilly T. Handbook of soccer match analysis: a systematic approach to improving performance, Abington, London- UK: Routledge; 2005.
- 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.
- 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.
- 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.
- Moura FA, Martins LEB, Cunha SA. Analysis of football game-related statistics using multivariate techniques. Journal of Sports Sciences, 2013; 1-7.
- Hughes MD, Bartlett RM. The use of performance indicators in performance analysis. Journal of Sports Sciences, 2002; 20(10): 739-754.
- 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.
- Stöber B, Wormuth F. Analyse der fußball-weltmeisterschaft 2014. BDFL Bund Deutscher fussball-lehrer, Internationaler Trainer-Kongress, 2014; 6-11.
- 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.
- Reilly T. Motion analysis and physiological demands. In: Science and Soccer. Eds: Williams AM, Reilly T. 2nd Edition, London; E & FN Spon; 2003.
Details
| Subjects | Health Care Administration |
|---|---|
| Journal Section | Hareket ve Antrenman Bilimleri |
| Authors | |
| Publication Date | July 1, 2017 |
| Published in Issue | Year 2017 |