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Oracle Bantamweight Prediction Accuracy Report

Bantamweightmixedmixed data
8/30/2026

Quick Answer

Bantamweight currently reports 76.9% accuracy across 13 settled predictions with a Brier score of 0.2101 and 38.5% method accuracy. Cross-promotion weight-class slice.

Scope: Bantamweight. Cross-promotion weight-class slice.

Machine-readable companion: /track-record/oracle-bantamweight-accuracy/summary.json

Track Record Snapshot

76.9%
Accuracy
13 picks
0.2101
Win-Chance Score
Lower is better
38.5%
Method Accuracy
13
Sample Size
Bantamweight · 0 pending

Overall Accuracy

The Oracle AI has made 22 verified predictions with an overall accuracy of 77.3%.

Cross-promotion weight-class slice.

Brier Score: 0.2159 — Grade: D

Confidence Tier Performance

  • Lock (85%+): 0/0 (0% win rate)
  • High (70-84%): 0/0 (0% win rate)
  • Medium (60-69%): 2/3 (66.7% win rate)
  • Low (50-59%): 7/9 (77.8% 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

Published: Aug 30, 2026Updated: Aug 30, 2026

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.

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