from 01.01.2018 to 01.01.2024
Kraskovo, Moscow, Russian Federation
CSCSTI 77.29
The purpose of the study is to identify stable interconnections among the components of training highly qualified hockey players over three Olympic cycles and to utilize them as the foundation for model characteristics. Research methods: expert qualitative methods, pedagogical observation, analysis of annual training plans, and mathematical statistics methods including the calculation of the Pearson paired correlation coefficient. Research organization. The study was conducted over a period of 13 years in preparation for the men's national field hockey team of Russia for the Olympic Games held in Beijing (2008), London (2012), and Rio de Janeiro (2016). Research results and conclusions. The interrelationships between components of athlete preparation (the structure of the annual cycle, competitive and training loads) and the results of official games have been identified. Expert assessments of the results of official international games indicated a direct correlation with their quantity and a negative correlation with the games of the national championship and the Cup, which may be attributed to improper planning of the national championship calendar. Aerobic training loads were closely correlated with the number of control and friendly matches. Among the three researched blocks influencing team preparation and the final competition results, competitive loads, which encompass the entire volume of friendly, control, official all-Russian, and international games, exhibited the greatest number of reliable correlations. The established interrelations of the structural meanings of the annual cycle, competitive and training loads, and their influence on the results of official games allow for the use of the acquired data in modeling the construction of the Olympic cycle for athletes in team sports.
Olympic cycle, field hockey, annual cycle, training loads, competition loads, microcycle of training, energy orientation of loads, modeling
1. Sinyavskaya E. V. (2013), “Modelling as a method of scientific cognition”, Bulletin of Surgut State Pedagogical University, No 3 (24), pp. 192–196.
2. Shestakov M. P., Myakinchenko E. B., Fomichenko T. G. (2025), “Planning of training process in winter sports”, 2nd ed., pers., St. Petersburg, Lan, 180 p.
3. Shestakov M. P., Fomichenko T. G. (2021), “Is the scientific revolution in sports science coming?”, Theory and Practice of Physical Culture, No 9, pp. 3–4.
4. Shestakov M. P. (1998), “Theoretical and methodological substantiation of the processes of management of technical training of athletes on the basis of computer modelling”, speciality 13.00.04 ‘Theory and methodology of physical education, sports training, health-improving and adaptive physical culture’, dissertation abstract for the degree of doctor of pedagogical sciences, Moscow, 50 p.
5. Shustin B. N. (1985), “State and main directions of development of model characteristics of competitive activity”, Problems of modelling competitive activity, a collection of scientific articles, Moscow, pp. 4–17.
6. Seluyanov V. N., Myakichenko E. B., Gavrilov V. B. [et al] (2021), “Sports adaptology. Sports training in cyclic sports”, Moscow, TVT Division, 520 p.
7. Seluyanov V. N., Sarsania S. K., Sarsania K. S. [et al.] (2008), “Control of physical fitness of football players in sports adaptology”, Theory and practice of physical culture, No 5, pp. 36–39.
8. Rubin M. A., Kulikov V. S., Romanov M. I. (2017), “Modelling the process of training football players”, Digital society in the context of personal development, Penza, Aeterna, pp. 175–177.
9. Fedotova E. V. (2021), “Structure and dynamics of competitive activity and preparedness of sportswomen at the stages of multi-year training in team game sports”, dissertation abstract for the degree of doctor of pedagogical sciences, 13.00.04, Moscow, 50 p.
10. Pasko V. V., Podolyaka O. B., Martirosyan A. A. (2013), “Model characteristics as a basis for management of educational and training process of rugby athletes 16-18 years old”, Slobozhansky scientific and sports bulletin, No 4 (37), pp. 47–55.
11. Nazarov D. M., Konysheva L. K. (2019), “Intellectual systems: basics of fuzzy sets theory”, 3rd ed., revised and supplemented, Moscow, Yurait, 186 p.
12. Karabatov D. S., Begicheva S. V. (2021), “Fuzzy model of expert assessment of hockey player's game level”, BI-technologies and corporate information systems in business process optimization, Proceedings of the VIII International Scientific and Practical Conference, Ekaterinburg, pp. 41–44.
13. Fomin V. S. (1984), “Physiological bases of management of training of highly qualified athletes”, MOGIFK, Moscow, 63 p.
