Oracle Women's Bantamweight Prediction Accuracy Report
Quick Answer
Women's Bantamweight currently reports 66.7% accuracy across 3 settled predictions with a Brier score of 0.2098 and 33.3% method accuracy. Cross-promotion weight-class slice.
Scope: Women's Bantamweight. Cross-promotion weight-class slice.
Machine-readable companion: /track-record/oracle-women-s-bantamweight-accuracy/summary.json
Track Record Snapshot
Overall Accuracy
The Oracle AI has made 6 verified predictions with an overall accuracy of 50%.
Cross-promotion weight-class slice.
Brier Score: 0.2728 — Grade: D
Confidence Tier Performance
- Lock (85%+): 0/0 (0% win rate)
- High (70-84%): 0/0 (0% win rate)
- Medium (60-69%): 1/2 (50% win rate)
- Low (50-59%): 1/2 (50% win rate)
Methodology
All predictions are recorded before fights occur and verified against official results. Draws and No Contests are excluded from accuracy calculations.
Generated automatically by The Oracle, Blueprint MMA's automated UFC prediction engine.
Methodology and Attribution
Author: Blueprint MMA
Creator: The Oracle software
How this was produced
The Oracle generates each prediction automatically from the locked source packet. Automated identity, evidence, probability, and publication checks run before release; no individual human reviews each prediction before publication.