The impact of Big Data digital technologies on the financial system of sports betting
https://doi.org/10.35854/1998-1627-2025-5-621-628
Abstract
Aim. The work is aimed to determine the impact of Big Data technologies on the transformation of mechanisms for forecasting sports events, managing financial risks, and the forming business strategies in sports betting.
Objectives. The work seeks to formulate priority fields for the use of Big Data technologies in the financial system of sports betting; to assess the impact of Big Data on methods for forecasting the outcomes of sports events and the financial risk management system; to substantiate the regulatory and ethical aspects of using Big Data in the financial system of sports betting; to make a forecast of the development of analytical systems based on Big Data in the sports betting.
Methods. The authors reviewed scientific literature, studied the cases Big Data influence on the financial system of sports betting, as well as expert assessments from open sources.
Results. The study identifies the key fields of Big Data in the financial system of sports betting, namely outcome forecasting, risk management, and personalization of client strategies. The work also substantiates the facts of increasing the accuracy of forecasts and reducing the time of odds generation. Ethical and regulatory risks were identified. The work proposes development directions, namely hybrid analytics model, adaptive margin, and algorithmic transparency standards.
Conclusions. The impact of Big Data digital technologies on the financial system of sports betting is manifested in their ability to radically transform the betting industry, including key business processes and financial models. The use of Big Data technologies has a systemic impact on the betting industry, while transforming its key business processes. These technologies ensure a high level of forecasting accuracy, increase economic efficiency, and adapt strategic management in the context of digital competition. Thus, Big Data is becoming not only an analytical tool, but also a factor in restructuring the entire financial architecture of the industry. The implementation of Big Data requires institutional and regulatory support, which is an important condition for the sustainable development of the sports betting market.
About the Authors
A. V. BolotovskiyRussian Federation
Artem V. Bolotovskiy, postgraduate student
44A Lermontovskiy Ave., St. Petersburg 190020
Competing Interests:
The authors declare no conflict of interest related to the publication of this article
V. I. Kordovich
Russian Federation
Valentina I. Kordovich, PhD in Economics, Associate Professor, Associate Professor of the Department of International Finance and Accounting
44A Lermontovskiy Ave., St. Petersburg 190020
Competing Interests:
The authors declare no conflict of interest related to the publication of this article
References
1. Petrova Yu.S., Ezangina I.A., Kharlamova E.E, et al. Theory and practice of Big Data in the financial sphere (on the example of the Volgograd region). Ekonomika i predprinimatel’stvo = Journal of Economy and Entrepreneurship. 2023;(12):403-408. (In Russ.). https://doi.org/10.34925/EIP.2023.161.12.081
2. Israilova Z.R., Abdulmukminova F.M., Abdulmukminova E.M. The development of Big Data technologies in the context of digital transformations. Journal of Monetary Economics and Management. 2024;(2):79-85. (In Russ.). https://doi.org/10.26118/2782-4586.2024.75.23.011
3. Bogdanov D. Sports betting analyst. Vseprosport. URL: https://www.vseprosport.ru/guide/slang/analitik (accessed on 25.03.2025). (In Russ.).
4. Wang Y., Zhang Y., Pisarenko Zh.V. Operational risk management in the fintech industry: A comparison of practices in Russia and China. Modern Economy Success. 2024;(6):126-135. (In Russ.). https://doi.org/10.58224/2500-3747-2024-6-126-135
5. Whelan K., Hegarty T. Calculating the bookmaker’s margin: Why bets lose more on average than you are warned. Munich Personal RePEc Archive. MPRA Paper. 2023;(116924). URL: https://mpra.ub.uni-muenchen.de/116924/1/MPRA_paper_116924.pdf (accessed on 26.03.2025).
6. Big Data analysis in football and tennis: How to make smarter bets. Otchizna. URL: https://otchizna.su/luchshie-prognozisty/analiz-bolshih-dannyh-v-futbole-i-tennise-kak-prinimatbolee-obosnovannye-stavki/ (accessed on 25.03.2025). (In Russ.).
7. The science of sports betting: How data is shaping the industry. Planet Sport Group. Jul. 16, 2024. URL: https://www.planetsport.com/news/the-science-of-sports-betting-how-data-isshaping-the-industry (accessed on 25.03.2025).
8. Ivleva E.S., Rumyantseva A. Yu., Kordovich V.I. Profitability and risk analysis of investments in securities. Peterburgskiy ekonomicheskiy zhurnal = St Petersburg Economic Journal. 2024;1:24-32. (In Russ.).
9. Sports betting and the protections of “enhanced” sports data in the US. DLA Piper. Sep. 29, 2020. URL: https://www.dlapiper.com/en/insights/publications/intellectual-propertynews/2022/ipt-news-q3-2020/sports-betting-and-the-protections-of-enhanced-sports-data-inthe-us (accessed on 25.03.2025).
10. Regulatory technology in sports betting. The European Business Review. May 10, 2024. URL: https://www.europeanbusinessreview.com/regulatory-technology-in-sports-betting/ (accessed on 25.03.2025).
11. Big Data in betting: How Big Data analysis helps predict match outcomes. UVRS.ru. URL: https://uvrs.ru/bolshie-dannye-v-bettinge-kak-analiz-big-data-pomogaet-predskazyvatisxody-matchej/ (accessed on 26.03.2025). (In Russ.).
12. Galekwa R.M., Tshimula J.M., Tajeuna E.G., Kyamakya K. A systematic review of machine learning in sports betting: Techniques, challenges, and future directions. arXiv:2410.21484. 2024. https://doi.org/10.48550/arXiv.2410.21484
13. Taoulilit Y. Mathematical analysis in football and its relation to sports achievements. Obzor pedagogicheskikh issledovanii = Review of Pedagogical Research. 2024;6(6):266-271. (In Russ.). https://doi.org/10.58224/2687-0428-2024-6-6-266-271
Review
For citations:
Bolotovskiy A.V., Kordovich V.I. The impact of Big Data digital technologies on the financial system of sports betting. Economics and Management. 2025;31(5):621-628. (In Russ.) https://doi.org/10.35854/1998-1627-2025-5-621-628