Title: A systematic review of sports analytics

Authors: Rakshit Bhatnagar; Mridul Babbar

Addresses: Lal Bahadur Shastri Institute of Management, 11/07 Dwarka Sector 11, Near Metro Station, New Delhi, Delhi 110075, India ' Lal Bahadur Shastri Institute of Management, 11/07 Dwarka Sector 11, Near Metro Station, New Delhi, Delhi 110075, India

Abstract: The interest from both academics and practitioners in the application of big data analytics in sports has been rapidly growing resulting in the increased need to research and develop new techniques. This review proposes a framework that provides an overview of major analytical tools and technologies creating value in the sports industry, with the major focus on soccer, basketball, and cricket. The various research reviewed in this paper employs techniques to measure and improve player's performance such as developing a player's ranking model, visual analysis to identify movement patterns and study numerical metrics during important events of the game. The paper discusses how big data and modern business intelligence tools and technologies may help to address the big data issues and aid in developing a theoretical model for tactical decision making in team sports. We identify a set of avenues for future research that will stimulate further development in sports analytics.

Keywords: sports; analytics; business intelligence; big data; predictive analytics.

DOI: 10.1504/IJTTC.2022.127574

International Journal of Technology Transfer and Commercialisation, 2022 Vol.19 No.4, pp.393 - 406

Received: 09 Nov 2019
Accepted: 12 Aug 2020

Published online: 12 Dec 2022 *

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