Football_Prediction_Project and Football-Data-Predictions
Both projects are competitors, as they offer similar functionalities for predicting football match outcomes using classical machine learning and AI techniques, pulling data from various sources to analyze and predict different soccer leagues.
About Football_Prediction_Project
mhaythornthwaite/Football_Prediction_Project
This project pulls past game data from api-football, and uses this to predict the outcome of future premier league matches with the use of classical machine learning techniques.
Constructs rolling 10-game performance metrics across 14 engineered features (goal difference, shot accuracy, possession, etc.) to capture relative team form, then trains scikit-learn classifiers (Random Forest, KNN, SVM) optimized via grid search and 5-fold cross-validation. The pipeline automatically refreshes from api-football's daily API calls, enabling continuous model retraining on recent fixtures while maintaining a nested dictionary structure organized by team and match ID for scalable data management.
About Football-Data-Predictions
enrique-lozano/Football-Data-Predictions
Python script that shows statistics and predictions about different soccer leagues using Pandas and some AI techniques.
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