Patrick C

Founder & Editor, EdgeIQ

Patrick C founded EdgeIQ and edits its Learning Center. He oversees how EdgeIQ collects sports data, how its prediction models are evaluated and how results are explained to readers.

Focus: Sports analytics, Prediction model evaluation

Articles (20)

• How Sports Prediction Models Work
• What Does a 70% Win Probability Actually Mean?
• Understanding Brier Score in Sports Predictions
• Why Sports Prediction Models Get Games Wrong
• How Model Calibration Improves Sports Forecasts
• NFL Analytics: Key Metrics Behind Game Predictions
• NBA Analytics: What Factors Matter Most?
• MLB Analytics and the Challenge of Predicting Baseball
• NHL Analytics: Understanding Hockey Prediction Models
• Understanding Home-Field Advantage With Data
• How Injuries Can Affect Sports Predictions
• Strength of Schedule Explained
• Prediction Accuracy vs Probability Calibration
• How to Evaluate a Sports Prediction Model
• Why Historical Performance Doesn't Guarantee Future Results
• How EdgeIQ's NFL Predictions Work
• How to Read an NFL Prediction: Probability, Score and Margin
• What Model Accuracy and Calibration Actually Mean
• Comparing Model Projections With Market Prices
• How EdgeIQ Picks the NFL Games Worth Watching