AI Prediction Track Record
How CricIntel's model performs across multiple dimensions — winner calls, score projections, and conviction-based picks. Updated after every match.
3 of 6 incorrect picks were coin-flip matches where the model gave <55% confidence — essentially toss-ups where the margin was razor-thin.
Match-by-Match
55 matchesHow We Measure
High Confidence Picks: When our model assigns >60% win probability to a team, these are our strongest calls. This is where the model's edge is most visible.
Score Projection: We project a mid-range first-innings total for every match. Accuracy measures how close that projection was to the actual score.
Automatic Logging: Predictions are locked in when the match report is generated and cannot be edited after the fact. What you see is what the model said before the first ball.