{"name":"Oracle Women's Bantamweight Prediction Accuracy Report","type":"track_record_report","slug":"oracle-women-s-bantamweight-accuracy","canonical_url":"https://blueprintmma.com/track-record/oracle-women-s-bantamweight-accuracy","structured_url":"https://blueprintmma.com/track-record/oracle-women-s-bantamweight-accuracy/summary.json","report_type":"weight_class","filter_key":"Women's Bantamweight","scope":{"report_type":"weight_class","filter_key":"Women's Bantamweight","included_promotions":null,"classification":"mixed","data_environment":"mixed","label":"Women's Bantamweight","description":"Cross-promotion weight-class slice."},"summary":"Oracle Women's Bantamweight Prediction Accuracy Report is a public women's bantamweight Oracle audit. Cross-promotion weight-class slice. Accuracy is 66.7%. Sample size is 3 settled picks. Brier score is 0.2098.","published_at":"2026-07-12T13:00:45.492+00:00","updated_at":"2026-07-12T13:03:59.49968+00:00","metrics":{"settled_predictions":3,"correct_calls":2,"accuracy":66.7,"brier_score":0.2098,"method_accuracy":33.3,"pending":0,"draws":0,"no_contests":0},"confidence_tier_breakdown":[{"tier":"Lock (85%+)","sample_size":0,"win_rate":0,"expected_win_rate":92.5,"edge":-92.5,"is_profitable":false},{"tier":"High (70-84%)","sample_size":0,"win_rate":0,"expected_win_rate":77,"edge":-77,"is_profitable":false},{"tier":"Medium (60-69%)","sample_size":1,"win_rate":100,"expected_win_rate":64.5,"edge":35.5,"is_profitable":true},{"tier":"Low (50-59%)","sample_size":2,"win_rate":50,"expected_win_rate":54.5,"edge":-4.5,"is_profitable":false}],"calibration_snapshot":[{"predicted":51,"actual":50,"sample_size":2},{"predicted":68,"actual":100,"sample_size":1}],"machine_readable_sources":{"overall":"https://blueprintmma.com/track-record/overall.json","reports":"https://blueprintmma.com/track-record/reports.json","results":"https://blueprintmma.com/track-record/results.json","html":"https://blueprintmma.com/track-record/oracle-women-s-bantamweight-accuracy"}}