The introduction of digital innovations and methods for predicting sporting performance in the absence of changes to the training process

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Dr. Med., Professor A.L. Pokhachevskiy1, 2
PhD, Associate Professor I.A. Batrakova1
S.V. Pershikov1
PhD, Associate Professor E.A. Zubko1
1Sechenov First Moscow State Medical University, Moscow
2Ryazan State Medical University, Ryazan

Objective of the study is to promote the use of digital technologies in research into sporting activities, based on advanced methods of modelling and forecasting results.
Methods and structure of the study. A literature search was conducted covering the past two years, focusing on digital innovations and methods for predicting performance in sport. The search was carried out between 2023 and 2025 in open-access scientific databases such as PubMed, Google Scholar, Scopus, Mendeley and eLibrary.ru. Studies were excluded from the review if they did not meet the inclusion criteria or were published more than two years ago.
Results and conclusions. It has been shown that many machine learning technologies are developed using statistical data analysis methods, as well as modelling and forecasting of sporting results. It is noted that the main problem with digitalisation in the field of physical education and sport is the gap between the formal integration of technologies and their actual use in practice. Insufficient digital literacy among specialists, the lack of adapted training programmes and a conservative organisational culture lead to the inefficient use of resources in sporting activities. In this regard, to overcome this problem, a balanced and methodologically sound implementation of technologies is required, which will significantly enhance motivation, personalisation and the effectiveness of training, as well as facilitate the attainment of accurate results for future scientific research.

Keywords: physical education, innovation, training process, digitalisation, methodological shortcomings, forecasting.

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