Calibration matters
Calibration asks whether probabilities mean what they say. If a group of predictions marked around 60% wins roughly 60% over time, the model is behaving more honestly than one that overstates every signal.
Model Performance
Football betting model performance
A football model should not be judged by one winning or losing prediction. Performance needs to be measured across large samples and across the specific markets the model covers.
Oddigo is designed around tracking, calibration and market-level review so model quality can be assessed over time.
Market segments matter
A model can perform differently across cards, fouls, shots, goals and assists. Reviewing each market separately helps reveal where the signal is strongest and where caution is needed.
- Cards and fouls often depend heavily on referee and match context.
- Shots and shots on target depend on role, usage and opponent pressure.
- Goals and assists can be more volatile because individual events are rarer.
Continuous improvement should be measured
A model should improve from tracked outcomes and better data, not from changing assumptions after one result. Oddigo's learning loop is built around measured performance rather than reaction to individual wins or losses.
Oddigo Workflow
Review predictions with performance in mind
Oddigo separates probabilities, confidence and value signals so performance can be judged more clearly over time.