NFL Game Outcome Predictor

This project uses simulated NFL game data to train a Random Forest machine learning model that predicts the probability of a home team win. Results are visualized in a bar chart that shows predicted home win probabilities for each game, colored by the actual outcome.

Features

• Python + scikit-learn model
• Sample (replaceable) NFL stats data
• Probabilities and results visualized in Matplotlib

Run it

• Place your own NFL games data into a DataFrame for more meaningful predictions.
• Run nfl_predictor.py to retrain and generate the chart (nfl_home_win_probabilities.png).

Example Chart