UFC: Brendan Allen vs Christian Leroy Duncan Preview — Full Card Model Reads & Power Ratings
UFC: Brendan Allen vs Christian Leroy Duncan headlines a card with 43 fights our model has generated pre-fight reads for on October 11, 2026. Below: model win probabilities, method reads and power-rating context for every fight on the main card.
Main event
Brendan Allen meets Christian Leroy Duncan in a fight scheduled for 3 rounds. Our model gives Christian Leroy Duncan a 56% chance to win. Method: 27% KO/TKO, 17% submission, 56% decision — a 55% chance this fight goes the distance. By our whole-history power rating (Bradley-Terry, the same method behind the win-probability read), Brendan Allen rates above Christian Leroy Duncan.
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- Brendan Allen vs Christian Leroy Duncan: model favours Christian Leroy Duncan at 56% (Elo 1647 vs 1593) Method: 27% KO/TKO, 17% submission, 56% decision — a 55% chance this fight goes the distance.
- Matheus Camilo vs Jai Herbert: model favours Matheus Camilo at 79% (Elo 1517 vs 1498) Method: 47% KO/TKO, 18% submission, 36% decision — a 38% chance this fight goes the distance.
- Lupita Godinez vs Ketlen Souza: model favours Ketlen Souza at 69% (Elo 1500 vs 1518) Method: 36% KO/TKO, 11% submission, 53% decision — a 54% chance this fight goes the distance.
- Andre Fili vs Kai Kamaka: model favours Andre Fili at 59% (Elo 1503 vs 1481) Method: 28% KO/TKO, 19% submission, 53% decision — a 53% chance this fight goes the distance.
- Malcolm Wellmaker vs Otari Tanzilovi: model favours Otari Tanzilovi at 59% (Elo 1496 vs 1484) Method: 27% KO/TKO, 10% submission, 63% decision — a 64% chance this fight goes the distance.
- King Green vs Esteban Ribovics: model favours King Green at 67% (Elo 1588 vs 1522) Method: 24% KO/TKO, 10% submission, 66% decision — a 69% chance this fight goes the distance.
Reading the Model Beneath the Numbers
The main event is the most interesting split on the card: Brendan Allen rates higher on the whole-history power scale, yet the live win-probability model leans toward Christian Leroy Duncan. That gap usually signals the model is weighting recent form, style matchup, or durability trends more heavily than career-long resume — worth watching whether Duncan's striking volume or Allen's grappling control decides the read in-fight.
Finish-rate splits tell a cleaner story elsewhere on the card. Camilo-Herbert and Pereira-Zheleznyakova both carry KO/TKO method shares above 45% and distance probabilities under 40%, pointing to two fights the model sees as genuinely live for an early finish rather than a grind. Contrast that with Vettori-Naurdiev, where a 75% decision method share and 76% distance probability suggest a much more positional, control-based matchup.
Several Elo gaps on this card are tight — Camilo vs Herbert (1517-1498) and Pereira vs Zheleznyakova (1499-1500) are near pick'em by rating alone, yet the model still produces win probabilities in the high 50s to high 70s. That divergence between rating parity and probability separation is a reminder that method and style inputs, not just long-run rating, are doing real work in these numbers — a useful sanity check whenever a fight looks closer on paper than the model's final read suggests.
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