Premier League Match Outcome Predictor

A machine learning project predicting football (soccer) match results (Home Win, Draw, Away Win) using historical Premier League data.

Features

• Cleans and prepares match statistics (shots, fouls, corners, shots on target)
• Uses Random Forest Classifier for prediction
• Visualizes feature importance

Tools Used

• Python (Pandas, Seaborn, Matplotlib)
• Scikit-learn (Random Forest)
• Data Source: football-data.co.uk

How to Run

1. Clone the repo:

   git clone https://github.com/yourusername/football-outcome-predictor.git
   cd football-outcome-predictor

2. Install dependencies:

   pip install -r requirements.txt

3. Download dataset and save as data/epl_matches.csv
4. Run predictor:

   python predictor.py

Output

• Prints accuracy and classification report
• Shows feature importance plot

Author

[Your Name] – aspiring Sports Data Analyst