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Big data analysis as a tool for assessing professionalization of computer sports

Authors

  • A.V. Ermakov Russian University of Sport (SCOLIPE), Moscow
  • E.N. Skarzhinskaya Moscow University for Industriy and Finance "Synergy", Moscow

Keywords:

artificial intelligence, big data, sports economics, professional sports, e-sports, computer sports, Dota2.

Abstract

Objective of the study was to substantiate the criteria and assess the level of professionalization of the sport "Computer Sports" using big data analysis tools.

Methods and structure of the study. The analysis of organizational and economic characteristics of eSports tournaments of various levels (Tier 1 and Tier 2) was carried out using a Python script and library script for this study. A statistical analysis of the numerical variables of the Tier 1 and Tier 2 teams by years (2011-2022) is also presented.

Results and conclusions. The signs of professionalization of the studied eSports discipline were revealed, which indicated the need to build scientific and methodological support for sports training.

References

Zalilov M.A. Istoriya kibersportivnogo menedzhmenta v Rossii [History of eSports management in Russia]. Kompyuternyy sport (kibersport): sostoyaniye i perspektivy razvitiya [Computer sports (eSports): state and development prospects]. Proceedings national scientific-practical conference. M.A. Novoselov [ed.]. 2019. pp. 20-24.

Skarzhinsky N.S., Grebenkov V.S., Martynenko I.V. Modelnyye kharakteristiki kibersportsmenov v distsipline «Boyevaya arena» (na primere Dota2) [Model characteristics of cybersportsmen in the discipline "Combat Arena" (on the example of Dota2)]. Fizicheskaya kultura: vospitaniye, obrazovaniye, trenirovka. 2020. No. 5. p. 31.

Talan A.S., Babkin A.A., Talan M.S. Vzaimosvyaz vozrasta i roli v igre Dota2 [The relationship of age and role in the game Dota2]. Kafedralnaya nauka RGUFKSMiT [Department of Science RGUFKSMiT]. Proceedings scientific-practical conference of the faculty, 2019. pp. 56-59.

Esports job spotlight: Coach/Analyst Available at: https://britishesports.org/careers/coach-analyst/ (date of access: 09.26.2022).

Additional Files

Published

27-04-2023

Versions

How to Cite

Ermakov, A. ., & Skarzhinskaya, E. . (2023). Big data analysis as a tool for assessing professionalization of computer sports. Theory and Practice of Physical Culture, (4), 9–12. Retrieved from http://tpfk.ru/index.php/TPPC/article/view/556

Issue

No. 4 (2023)

Section

DIGITAL TRANSFORMATION IN SPORT

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

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