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Digital profile as a tool for individualization of tactical training of karatekas

Year: 2025
Type: article
Abstract: The article considers the relevance of creating a digital profile of karate athletes, taking into account their physical and psychological characteristics, and its impact on the effectiveness of tactical actions in a sports match. A model of an athlete's digital profile is presented and specific indicators are identified that will be used when choosing an individual tactical scheme for conducting a duel. The purpose of the study is to determine an athlete's predisposition to a certain style of fighting, which is key to achieving high results in karate sports. Organization and methods of research. To test the developed program, we will conduct a study, during which an analysis of the tactical training of karate athletes will be carried out, indicators of criteria for choosing a technical and tactical scheme (style) of conducting a sports duel (physical, anthropometric, psychological) will be revealed. Physical indicators will include the physical qualities of an athlete that influence the choice of a technical and tactical style of fighting: speed, reaction speed, strength, endurance, speed endurance, coordination abilities. Anthropometric indicators include the ratio of an athlete's height and weight, as well as an indicator such as the shoulder of strength, when performing basic technical actions used in karate. Psychological indicators include temperament types such as sanguine, choleric, phlegmatic and melancholic. Conclusions. The issues related to the use of an athlete's digital profile for the individualization of tactical training of karate athletes remain open. To conduct the study, we plan to create a system in which the totality of the initial data will be conveniently received and processed, forming an individual profile of the athlete, which will correspond to a certain tactical scheme of the duel, taking into account all its advantages and disadvantages.
Authors: V. S. Danilova, A. E. Generalova
Language: English
Subfield: Safety Research
Open Access status: hybrid
OpenAlex ID: W4409844414
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