Affiliation:
1. Sri Sai Ram Institute of Technology, Chennai, India
Abstract
This study explores the application of sports analytics and the utilization of various tools in the sports industry. Sports analytics, also known as sports data analytics, is the application of data analysis and statistical approaches to extract important insights. Additionally, it aids in making well-informed judgments and enhancing performance in the realm of sports. Sports data analytics include a diverse array of methods and approaches, such as statistical analysis, machine learning, data visualization, predictive modeling, and optimization algorithms. The objective of sports business analytics is to get practical insights from a dataset in order to enhance decision-making and foster innovation in the sports industry
Reference16 articles.
1. Sports Analytics: A Guide for Coaches, Managers, and Other Decision Makers Hardcover – August 6, 2013 by Benjamin Alamar (Author), Dean Oliver.
2. Albert, J.A., Glickman, M.E., Swartz, T.B. and Konig, R.H. Editors (2017). Handbook of Statistical Methods and Analyses in Sports. Chapman & Hall/CRC Handbooks of Modern Statistical Methods.
3. Dr. K. Baranidharan, An Investigation of the Link Between Artificial Intelligence and Academi Performance, International Open-Access, Double-Blind, Peer-Reviewed, Refereed, Multidisciplinary Online Journal Volume 3, Issue 2, December 2023.
4. Avcontentteam. (2023, August 3). All You Need to Know About Sport Analytics in 2023. Analytics Vidhya. https://www.analyticsvidhya.com/blog/2023/08/sport-analytics/
5. Hopkins, M., & Brokaw, L. (2010). Matchmaking with math: How analytics beat intuition to win customers. Retrieved from: http://sloanreview.mit.edu/themagazine/2011-winter/52206/matchmaking with math