Load optimization in training the olympic rowing (Skiff) champion from Beijing, 2008: Case study
(Belastungsoptimierung im Training der Olympiasiegerin im Frauen Einer 2008 in Peking: Eine Fallstudie)
The issue related to the optimization of the training load is centrally placed in the theory and methodology of sports training. The purpose is to apply such a working regime under which high levels of the general and specific workability of the organism and the rational use of the motor potential in a concrete competition are achieved. The present article presents some basic fragments of the preparation of R. Neykova, the Olympic champion in rowing (skiff) in Beijing 2008, the silver medalist in Sidney 2000, the bronze medalist in Athens, 2004, and the world champion in 2001 and 2003. The structure and the contents of the more important stages and mezzo cycles of the preparation are presented in a logical sequence. Some basic principles, means and methods for increasing the power, capacity and effectiveness of the various body systems are exposed. Concrete results from the systematic studies related to evaluation, control and optimization of the training load are presented. Several types of training sessions and load patterns which are of key importance for the management of the training process within the year cycle are proposed. The authors think that striving towards unification of the means and methods of training in elite sports leads to scholastics and limits the heuristic approach in the experts` practice.
© Copyright 2011 Serbian Journal of Sports Sciences. Sports Academy. Alle Rechte vorbehalten.
| Schlagworte: | |
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| Notationen: | Ausdauersportarten Trainingswissenschaft |
| Veröffentlicht in: | Serbian Journal of Sports Sciences |
| Sprache: | Englisch |
| Veröffentlicht: |
2011
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| Online-Zugang: | http://sjss-sportsacademy.edu.rs/archive/details/load-optimization-in-training-the-olympic-rowing-skiff-champion-from-beijing-2008-case-study-180.html |
| Jahrgang: | 5 |
| Heft: | 2 |
| Seiten: | 41-50 |
| Dokumentenarten: | Artikel |
| Level: | hoch |