Premier League Prediction Model

Description

A machine learning model that predicts Premier League match outcomes using historical data. The model leverages Recurrent Neural Networks (RNN) to analyze patterns from the past 10 years of Premier League matches, providing accurate predictions for upcoming fixtures.

Architecture

The system uses a sequential RNN architecture to process time-series match data. Data preprocessing includes feature engineering for team statistics, player performance metrics, and historical head-to-head records. The model is trained on a dataset spanning 10 years of Premier League history, with validation and testing sets to ensure accuracy.

Tools Used

Live Demo

Future Steps

• •Integrate real-time match data updates
• •Add confidence intervals to predictions
• •Create a web interface for easier access
• •Expand to other football leagues