This project aims at using sports analytics models to optimise decision-making in Fantasy Football. By integrating data from multiple sources, including player performance metrics, historical game data, and injury reports, etc., and using statistical analysis and machine learning algorithms you will predict player success and recommend optimal lineups.
School of Computer Science and Statistics