About Fairway Edge
The methodology, the model, and the person behind the predictions
Methodology
Fairway Edge uses a regression-based prediction model trained on historical PGA Tour data. The model considers strokes gained metrics, course fit correlations, recent form, field strength, and weather conditions to generate probability estimates for various prop bet outcomes.
Predictions are generated through Monte Carlo simulation (10,000+ iterations) to produce probability distributions for make/miss cut, top finishes, head-to-head matchups, and round scoring.
All model accuracy is tracked transparently on the Model Accuracy page using Brier scores and calibration curves.
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