Control of training load in figure skating using the RecSport system

Relevance. The control of training load in figure skating is conditioned by the need to increase the efficiency of athletes’ training and reduce the risk of overtraining and injuries. The use of modern technologies, such as the RecSport system, allows to optimize the training process due to automated, objective control of training load and taking into account the individual characteristics of the athlete. Objective. To analyze the training load performed by athletes in group training and in the pre-competition microcycle. Methods. Timing of training session using RecSport system (https://www.recsport.pro/) to measure load parameters in group and individual training of figure skaters. Results. In group training at performance of identical tasks the differences in the performed training load by athletes were revealed. In the pre-competition microcycle the analyzed dynamics of the training load of the athlete corresponds to his individual capabilities, the adequate reaction of the athlete’s body to the load was revealed, the duration of achieving the effect of supercompensation was 3 days. Conclusions. Control of training load on the basis of automated control promotes individualization of athletes’ training even in the conditions of group training, which improves the quality of training process and increases athletes’ sports readiness.

Authors

Publication Details

Journal
Russian Journal of Information Technology in Sports
Published
2025-05-19
DOI
https://doi.org/10.62105/2949-6349-2025-2-2-15-23
Primary Topic
Balance, Gait, and Falls Prevention
Type
article
Field-Weighted Citation Impact
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article

Control of training load in figure skating using the RecSport system

Vladimir Grishin, Alexander Chikov, Aleksandr Lebedev, Yuliya Solov'eva
Russian Journal of Information Technology in Sports
Balance, Gait, and Falls Prevention
article

Control of training load in figure skating using the RecSport system

Vladimir Grishin, Alexander Chikov, Aleksandr Lebedev, Yuliya Solov'eva
article en

Abstract

Relevance. The control of training load in figure skating is conditioned by the need to increase the efficiency of athletes’ training and reduce the risk of overtraining and injuries. The use of modern technologies, such as the RecSport system, allows to optimize the training process due to automated, objective control of training load and taking into account the individual characteristics of the athlete. Objective. To analyze the training load performed by athletes in group training and in the pre-competition microcycle. Methods. Timing of training session using RecSport system (https://www.recsport.pro/) to measure load parameters in group and individual training of figure skaters. Results. In group training at performance of identical tasks the differences in the performed training load by athletes were revealed. In the pre-competition microcycle the analyzed dynamics of the training load of the athlete corresponds to his individual capabilities, the adequate reaction of the athlete’s body to the load was revealed, the duration of achieving the effect of supercompensation was 3 days. Conclusions. Control of training load on the basis of automated control promotes individualization of athletes’ training even in the conditions of group training, which improves the quality of training process and increases athletes’ sports readiness.

Russian Journal of Information Technology in SportsVol. 2(2)
Openalex Percentile: Top 83%
Balance, Gait, and Falls Prevention
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