A Survey on the application of Data Science And Analytics in the field of Organised Sports
It provides a comprehensive overview for researchers and practitioners in sports analytics, but is incremental as it synthesizes existing approaches without introducing new methods.
This survey examines how data science and analytics have been applied in organized sports to optimize player assessment, team selection, win prediction, and business aspects like ticket marketing, presenting and comparing existing tools and methodologies.
The application of Data Science and Analytics to optimize or predict outcomes is Ubiquitous in the Modern World. Data Science and Analytics have optimized almost every domain that exists in the market. In our survey, we focus on how the field of Analytics has been adopted in the field of sports, and how it has contributed to the transformation of the game right from the assessment of on-field players and their selection to the prediction of winning team and to the marketing of tickets and business aspects of big sports tournaments. We will present the analytical tools, algorithms, and methodologies adopted in the field of Sports Analytics for different sports and also present our views on the same and we will also compare and contrast these existing approaches. By doing so, we will also present the best tools, algorithms, and analytical methodologies to be considered by anyone who is looking to experiment with sports data and analyze various aspects of the game.