A Survey on the application of Data Science And Analytics in the field of Organised Sports

09/15/2022
by   Sachin Kumar S, et al.
0

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.

READ FULL TEXT

page 1

page 5

research
09/15/2022

Data Science Approach to predict the winning Fantasy Cricket Team Dream 11 Fantasy Sports

The evolution of digital technology and the increasing popularity of spo...
research
06/10/2019

Pitfalls and Protocols in Practice of Manufacturing Data Science

The practical application of machine learning and data science (ML/DS) t...
research
01/10/2023

Big Ideas in Sports Analytics and Statistical Tools for their Investigation

Sports analytics – broadly defined as the pursuit of improvement in athl...
research
08/20/2022

Comparing graph data science libraries for querying and analysing datasets: towards data science queries on graphs

This paper presents an experimental study to compare analysis tools with...
research
10/22/2019

How can AI Automate End-to-End Data Science?

Data science is labor-intensive and human experts are scarce but heavily...
research
09/30/2021

Paradigm Shift Through the Integration of Physical Methodology and Data Science

Data science methodologies, which have undergone significant development...

Please sign up or login with your details

Forgot password? Click here to reset