Economics and management in sports Economics and management in sports Экономика и управление в спорте 2949-3196 BIBLIO-GLOBUS Publishing House 121912 10.18334/sport.4.3.121912 AFEERU Articles Статьи Research Article Application of video analysis data from game situations in sports management Использование данных видео-анализа игровых ситуаций в спортивном менеджменте https://orcid.org/0009-0006-6553-2392 Lyalin Kirill Andreevich Лялин Кирилл Андреевич

аспирант кафедры менеджмента спорта и активного досуга

 Kirill.lyalin@bk.ru Plekhanov Russian University of Economics Российский экономический университет им. Г.В. Плеханова 30 09 2024 4 3 VOL 4, NO3 (2024) ТОМ 4, №3 (2024) 211 222 23 09 2024 Copyright ©; 2024, Lyalin K.A. Copyright ©; 2024, Лялин К.А. 2024 Lyalin K.A. Лялин К.А. https://1economic.ru/lib/121912

The application of video analysis of game situations is becoming an increasingly important tool in modern sports management. In the context of increasing competition and the need for accurate assessment of game actions, this technology allows coaching staff and analysts to obtain more detailed and objective information for decision-making. The article discusses the methods and tools of video analysis used to improve the efficiency of team management and increase game results. The article emphasizes how video analysis data affects training processes, tactical training, and the development of athletes' individual skills. As a result of the study, the author comes to the conclusion that the integration of video analysis into sports management helps increase the team competitiveness and reduce risks in decision-making.

Использование видео-анализа игровых ситуаций становится все более важным инструментом в современном спортивном менеджменте. В условиях роста конкуренции и необходимости точной оценки игровых действий, данная технология позволяет тренерскому штабу и аналитикам получать более детализированную и объективную информацию для принятия решений. В статье рассматриваются методы и инструменты видео-анализа, используемые для повышения эффективности управления командой и улучшения игровых результатов. Основное внимание уделено тому, как данные видео-анализа влияют на тренировочные процессы, тактическую подготовку и развитие индивидуальных навыков спортсменов. В результате исследования автор приходит к выводу, что интеграция видео-анализа в спортивный менеджмент способствует повышению конкурентоспособности команд и снижению рисков при принятии решений.

 video analysis sports management game situation tactical training decision-making видео-анализ спортивный менеджмент игровые ситуации тактическая подготовка принятие решений 1. Al Kuwaiti A., Nazer Kh., Al-Reedy A., Al-Shehri Sh., Al-Muhanna A., Subbarayalu A.V., Al Muhanna D., Al-Muhanna F.A. A review of the role of artificial intelligence in healthcare // Journal of personalized medicine. – 2023. – № 6. – p. 951. – doi: 10.3390/jpm13060951. 2. Arute F. et al. Quantum supremacy using a programmable superconducting processor // Nature. – 2019. – № 7779. – p. 505-510. – doi: 10.1038/s41586-019-1666-5. 3. Carling C., Datson N. Science and Soccer. / In book: Science and Soccer. - London: Routledge, 2023. – 253-272 p. 4. Chang V. et al. Football Analytics: Assessing the Correlation between Workload, Injury and Performance of Football Players in the English Premier League // Applied Sciences. – 2024. – № 16. – p. 7217. – doi: 10.3390/app14167217. 5. Edriss S., Romagnoli C., Caprioli L., Zanela A., Panichi E., Campoli F., Padua E., Annino G., Bonaiuto V. The Role of Emergent Technologies in the Dynamic and Kinematic Assessment of Human Movement in Sport and Clinical Applications // Applied Sciences (Switzerland). – 2024. – № 3. – p. 1012. – doi: 10.3390/app14031012. 6. Goldman J.T., Donohoe B., Hatamiya N., Boland N.F., Vail J., Holmes K.E., Presby D., Kim J., Duffaut C. Baseline Sleep Characteristics in NCAA Division I Collegiate Athletes // Clinical Journal of Sport Medicine. – 2024. – № 4. – p. 370-375. – doi: 10.1097/jsm.0000000000001205. 7. Kubayi A. Analysis of goalkeepers' game performances at the 2016 European Football Championships // South African Sports Medicine Association. – 2020. – № 1. – p. 1-4. – doi: 10.17159/2078-516X/2020/v32i1a8283. 8. McLoughlin E., Arnold R., Fletcher D., Spahr Ch.M., Slavich G.M., Moore L.J. Assessing lifetime stressor exposure in sport performers: Associations with trait stress appraisals, health, well-being, and performance // Psychology of Sport and Exercise. – 2022. – p. 102078. – doi: 10.1016/j.psychsport.2021.102078. 9. McGregor G., Powell R., Begg B., Birkett S.T., Nichols S., Ennis S. et al High-intensity interval training in cardiac rehabilitation: a multi-centre randomized controlled trial // European Journal of Preventive Cardiology. – 2023. – № 9. – p. 745-755. – doi: 10.1093/eurjpc/zwad039. 10. Melesi K.Z. Time Motion Analysis in the South African Premier Soccer League using GPS technology. , 2020. 11. Morgans R., Bezuglov E., Orme P., Burns K., Rhodes D., Babraj J., Di Michele R., Oliveira R.F.S. The physical demands of match-play in academy and senior soccer players from the Scottish premiership // Sports. – 2022. – № 10. – p. 150. – doi: 10.3390/sports10100150. 12. O’Brien-Smith J. et al. Exploring the effects of instruction and game design on youth soccer players’ skill involvement and cooperative team behaviour // Research Quarterly for Exercise and Sport. – 2024. – p. 1-7. – doi: 10.1080/02701367.2024.2368597. 13. Tice N. Predicting Lower Body Soft Tissue Injuries in American Football with GPS Data. Scholarcommons.sc.edu. [Электронный ресурс]. URL: https://scholarcommons.sc.edu/cgi/viewcontent.cgi?article=7640context=etd. 14. Williams A. M., Ford P. R., Drust B. Talent identification and development in soccer since the millennium. / In book: Science and Football. - London: Routledge, 2023. – 3-14 p. 15. Stats Perform. [Электронный ресурс]. URL: https://www.statsperform.com/opta/ (дата обращения: 19.10.2024). 16. Stat Sport. [Электронный ресурс]. URL: https://statsports.com/ (дата обращения: 19.10.2024). 17. Prozone. [Электронный ресурс]. URL: https://prozone.to/ (дата обращения: 19.10.2024). 18. How Math and Data Science Made Liverpool the Best Team on the Planet. Medium.com. [Электронный ресурс]. URL: https://medium.com/the-spekboom/how-math-and-data-science-made-liverpool-the-best-team-on-the-planet-a72d50b325 (дата обращения: 19.10.2024). 19. Second Spectrum expand partnership to deepen NBA League Pass innovations with enhanced basketball analytics and develop new next gen platform. NBA and Genius Sports. [Электронный ресурс]. URL: https://pr.nba.com/nba-genius-sports-second-spectrum-expanded-partnership/#:~:text=The%20NBA%20will%20use%20Second,available%20on%20NBA%20League%20Pass (дата обращения: 19.10.2024). 20. Comparative Analysis of Artificial Intelligence Predicting the Outcome of March Madness. Technical Report TR-20240429-1. Cs.iusb.edu. [Электронный ресурс]. URL: https://www.cs.iusb.edu/technical_reports/TR-20240429-1_Goldstein.pdf (дата обращения: 19.10.2024). 21. Zileli R., Söyler M. Analysis of corner kicks in FIFA 2018 World Cup. Rua.ua.es. [Электронный ресурс]. URL: https://rua.ua.es/dspace/handle/10045/108395 (дата обращения: 19.10.2024). 22. Why Melton addition is good post-Klay recovery for Warriors. Nbcsportsbayarea.com. [Электронный ресурс]. URL: https://www.nbcsportsbayarea.com/nba/golden-state-warriors/deanthony-melton-klay-thompson-nba-free-agency/1751234/ (дата обращения: 19.10.2024). 23. Geelhoed D. Shooting for Success: an Analysis of Predictive Basketball Analytics. Repositories.lib.utexas.edu. [Электронный ресурс]. URL: https://repositories.lib.utexas.edu/items/ca0ece6b-c0c4-4291-a41a-7edbb4eddece (дата обращения: 19.10.2024).