EURO-Online login
- New to EURO? Create an account
- I forgot my username and/or my password.
- Help with cookies
(important for IE8 users)
3618. Top Players Prediction in Football: Interesting Facts on Data Preparation and Analysis
Invited abstract in session TD-16: Performance and scouting in football, stream OR in Sports.
Tuesday, 14:30-16:00Room: 19 (building: 116)
Authors (first author is the speaker)
1. | Senthil Murugan NAGARAJAN
|
Department of Mathematics, University of Luxembourg |
Abstract
In the dynamic landscape of football, predicting the emergence and success of top players is a crucial aspect that has gained momentum with the advent of advanced analytics. This presentation explores the fascinating world of forecasting top players in football, focusing on the intriguing facts surrounding data preparation and analysis. By delving into the intricacies of collecting and processing vast datasets, this presentation unveils the methodologies employed to identify key performance indicators and potential breakthrough talents. Leveraging cutting-edge analytics, teams and analysts aim to unravel patterns and trends that transcend traditional scouting methods. This talk highlights the synergy between technology and talent evaluation, offering insights into the challenges, breakthroughs, and captivating facts that define the landscape of predicting top players in football.
Keywords
- Computer Science/Applications
- Machine Learning
- Analytics and Data Science
Status: accepted
Back to the list of papers