A Machine Learning Powered Fantasy Football Web Application
SmartScore leverages cutting-edge machine learning algorithms to provide accurate player performance predictions, helping you dominate your fantasy football league.
Learn MoreSmartScore is my final year project that combines my passion for football with my interest in machine learning. The application analyses historical player data, team statistics, and various performance metrics to generate reliable predictions for fantasy football point scoring.
Traditional fantasy football advice often relies on expert opinions or simple statistical models. SmartScore goes beyond this by implementing advanced machine learning techniques that can identify complex patterns and relationships in the data that humans might miss.
Player Profiles
ML Models
Utilises ensemble machine learning methods combining regression and claification models to predict player performance with high accuracy.
This takes multiple different metrics and stats into account to accurately predict how many points a player or team will score in an upcoming gameweek.
Incorporates a player comparison system to help inform better user decisions.
Presents complex data through intuitive visualisations and clear recommendations, making advanced analytics accessible to all users.
Evaluates upcoming match difficulty based on comprehensive team statistics, helping you make informed transfer decisions.
Below are the key documents related to the SmartScore project:
Initial concept and scope of the project with information about existing similar applications.
Initial implementation plan of the project
Guide to the design of the SmartScore application
Feel free to reach out for more information about SmartScore or potential opportunities: