Per-card
analysis.
Projected win probability for every fight on the card, with the two largest divergences from public consensus called out and per-pick results filled in once the card concludes.
MethodologyLive performance
UFC Fight Night: Fiziev vs Torres: Model Analysis
Model projection across all 12 fights, with Michel Pereira (45.1%) flagged as the largest divergence from public consensus (20.3% implied).
Read →UFC Fight Night: Kape vs Horiguchi: Model Analysis
Model projection across all 11 fights, with Karol Rosa (47.4%) flagged as the largest divergence from public consensus (1.1% implied).
Read →UFC Freedom 250: Model Analysis
Model projection across all 7 fights, with Ciryl Gane (66.5%) flagged as the largest divergence from public consensus (47.8% implied).
Read →UFC Fight Night: Muhammad vs Bonfim: Model Analysis
Model projection across all 11 fights, with Yuneisy Duben (40.4%) flagged as the largest divergence from public consensus (1.4% implied).
Read →UFC Fight Night: Song vs Figueiredo: Model Analysis
Model projection across all 9 fights, with Cameron Smotherman (62.7%) flagged as the largest divergence from public consensus (31.4% implied).
Read →UFC Fight Night: Allen vs Costa: Model Analysis
Model projection across all 13 fights, with Tuco Tokkos (54.5%) flagged as the largest divergence from public consensus (5.5% implied).
Read →UFC 328: Chimaev vs Strickland: Model Analysis
Model projection across all 11 fights, with Tatsuro Taira (52.9%) flagged as the largest divergence from public consensus (16.7% implied).
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