The Evolution of Data Analytics in Professional Sports

  • Bill Grant Independent

Abstract

The article examines the evolution of data analytics in professional sports, transitioning from intuitive observation to artificial intelligence. Driven by milestones such as sabermetrics, the Moneyball methodology, and wearable devices, analytics optimized athletic performance, injury prevention, and scouting. Today, it stands as a multi-billion-dollar industry transforming strategic decision-making, officiating, and real-time data monetization.

Keywords: Data analytics, Professional sports, Artificial Intelligence

References

Chaudhari, B., y Savani, D. (2025). Study of Sports Analytics in Making Strategies in Sports: A Meta-Analysis. International Journal of Scientific Research in Science, Engineering and Technology, 12(2), 206-209. https://www.researchgate.net/publication/390103771

Ponkin, I. (2025). Sports analytics: concept, significance, characteristics, areas of focus. International Journal of Open Information Technologies, 13(7), 112-123. http://www.injoit.ru/index.php/j1/article/view/2205

Fútbol al límite: negocios y derechos
Published
2026-11-10
How to Cite
Grant, B. (2026). The Evolution of Data Analytics in Professional Sports. Lecturas: Educación Física Y Deportes, 31(342), 267-271. Retrieved from https://efdeportes.com/efdeportes/index.php/EFDeportes/article/view/9289
Issue
Vol. 31 No. 342 (2026)
Section
Informations

Copyright (c) 2026 Lecturas: Educación Física y Deportes

Creative Commons License

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