The application of artificial intelligence at the stages of athletic preparation

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Skarzhinskaya E. N.
Sports School ‘Centre of Digital Sports’ (Surgut, Russia).
Email: skar_e@mail.ru
Ermakov Alexander Vladimirovich
The Russian University of Sport «GTSOLIFK» (Moscow, Russia).
Beresneva V.A.
The Russian University of Sport «GTSOLIFK»; Sports-Methodological Centre ‘Department of Esports’ (Moscow, Russia).
Novoselov M.A.
The Russian University of Sport «GTSOLIFK» (Moscow, Russia).

No. 9, pp. 62–64

Published: 25.09.2026

CC BY-SA 4.0

Abstract

Objective of the study is to scientifically substantiate the integration of artificial intelligence technologies into the normative model of athletic preparation and to develop a model of their application at the stages of the multi-year preparation of athletes. Methods and structure of the study. An analysis of foreign and domestic scientific works on the topic of the study was conducted. Results and conclusions. The possibilities of applying artificial intelligence technologies in the system of athletic preparation in the context of the federal standards of athletic preparation were considered. On the basis of the analysis of foreign and domestic studies, a model of the use of artificial intelligence at the stages of initial preparation, sports specialisation, sports mastery perfection and higher sports mastery was developed. It was shown that the application of artificial intelligence contributes to the increase in the effectiveness of monitoring, data analysis, the individualisation of the training process and the support of the coach’s management decisions. The expediency of the normative consolidation of the digital footprint of the athlete and of intelligent analytical systems in the federal standards of athletic preparation was substantiated.

KEYWORDS

artificial intelligence, stages of athletic preparation, federal standards of athletic preparation, digital environment, digital footprint of the athlete, sports of the industrial society, sports of the information society, data analysis, computer vision, data-based management.

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