THE USE OF ARTIFICIAL INTELLIGENCE (AI) AND MACHINE LEARNING (ML) FOR PREDICTING AND IMPROVING SPORTS RESULTS

In our work, we study the potential of artificial intelligence to help coaches and athletes improve sports performance by predicting the outcome of a sporting event and identifying existing weaknesses in the athletes' preparation. To obtain a reliable forecast, it is necessary to take into account the physical, technical and psychological preparation of the athletes, as well as the weather, climate conditions and the factor of performing at home or away. A comprehensive approach to using artificial intelligence makes it possible to take proper measures to improve potential results and avoid injuries.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-11
DOI
https://doi.org/10.5281/zenodo.18954640
Primary Topic
Physical Education and Training Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

THE USE OF ARTIFICIAL INTELLIGENCE (AI) AND MACHINE LEARNING (ML) FOR PREDICTING AND IMPROVING SPORTS RESULTS

Sabina Shakhverdieva, Alexander Gobirakhashvili, Alexander Egoyan, Vitaly Kashuba et al.
Zenodo (CERN European Organization for Nuclear Research)
Physical Education and Training Studies
article

THE USE OF ARTIFICIAL INTELLIGENCE (AI) AND MACHINE LEARNING (ML) FOR PREDICTING AND IMPROVING SPORTS RESULTS

Sabina Shakhverdieva, Alexander Gobirakhashvili, Alexander Egoyan, Vitaly Kashuba, Tarun Gupta, Elena Tyo
article en

Abstract

In our work, we study the potential of artificial intelligence to help coaches and athletes improve sports performance by predicting the outcome of a sporting event and identifying existing weaknesses in the athletes' preparation. To obtain a reliable forecast, it is necessary to take into account the physical, technical and psychological preparation of the athletes, as well as the weather, climate conditions and the factor of performing at home or away. A comprehensive approach to using artificial intelligence makes it possible to take proper measures to improve potential results and avoid injuries.

Zenodo (CERN European Organization for Nuclear Research)
Georgia State University (US), National University of Ukraine on Physical Education and Sport (UA), State University of Physical Education and Sport (MD), Academy of Public Administration (AZ), Athens University of Economics and Business (GR)
Climate action
Openalex Percentile: Top 27%
Physical Education and Training Studies
DOIOpen Access PDFOpenAlex
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THE USE OF ARTIFICIAL INTELLIGENCE (AI) AND MACHINE LEARNING (ML) FOR PREDICTING AND IMPROVING SPORTS RESULTS — Sabina Shakhverdieva, Alexander Gobirakhashvili, et al. · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS