UFC Fight Night: Gamrot vs Salkilld takes place on August 9, 2026, and FightChoice's AI ensemble has analyzed every bout on the card. We delve into the matchups, highlighting our predicted winner, confidence level, and the specific data-driven reasoning behind each pick.
Heavyweight Bout: Louie Sutherland vs Jose Montanha
Our AI ensemble predicts Louie Sutherland to win this heavyweight clash with a 52% probability. The primary drivers for this prediction are Sutherland's superior reach and striking accuracy. Jose Montanha's lower head strike share and sig strike accuracy are significant factors. Multiple expert models within our ensemble support this, with Model λ, ε, and β specifically citing Montanha's shorter reach as a key disadvantage. Model ζ emphasizes Montanha's lower head strike share and sig strike accuracy, while Model κ points to Sutherland's higher skill rating.
Women's Flyweight Bout: Juliana Miller vs Ravena Oliveira
The AI ensemble strongly favors Juliana Miller in this women's flyweight contest, assigning her an 80% win probability. Miller's superior win rate and control time are significant advantages, further bolstered by her past victories over Toodie Marshall and Mckenna Mitchell. While Oliveira possesses a reach advantage, our ensemble's analysis, supported by models λ, ε, β, ζ, and κ, indicates Miller's overall effectiveness, higher win rate, better sig strike performance, and superior skill rating outweigh this.
Welterweight Bout: Ty Miller vs Billy Ray Goff
Our AI ensemble predicts Ty Miller to emerge victorious with an 80% win probability. Key factors driving this pick include Ty Miller's superior skill rating and Billy Ray Goff's lower Elo rating. Miller also holds advantages in win rate, win streak, and recent performance, with wins over Eric Nolan and Miguel Tovar noted. Models λ, ε, β, ζ, and κ all align with this prediction, citing Miller's age advantage, reach, and overall higher skill level as crucial elements.
Featherweight Bout: Darren Elkins vs Yadier del Valle
In a bout where the web consensus leans towards Darren Elkins, our AI ensemble predicts Yadier del Valle to win with a 79% probability. The ensemble's confidence in del Valle stems from his advantages in age, being past his prime status, and absorbing fewer significant strikes. Models λ, ε, β, and ζ all support del Valle, highlighting his better win rate and the age-related factors over Elkins. While models κ and τ favor Elkins based on skill ratings and past performances, the calibrated ensemble weighting ultimately favors del Valle.
Heavyweight Bout: Louie Sutherland vs Henrique Da Silva Lopes
Our AI ensemble favors Louie Sutherland in this heavyweight matchup, giving him a 61% win probability. Sutherland's reach advantage and the fact that Henrique Da Silva Lopes is considered past his prime are the main contributors to this prediction. Models λ, ε, β, ζ, and κ all support Sutherland, emphasizing his reach and age advantages, as well as his higher skill rating.
Women's Strawweight Bout: Amanda Lemos vs Alexia Thainara
The AI ensemble strongly predicts Alexia Thainara to win this women's strawweight bout with an 80% probability. Thainara's superior takedowns landed, control time, and recent victories over Jeanne Ruas and Molly McCann are the primary drivers. Models λ, ε, β, ζ, and κ all align with this pick, highlighting Thainara's advantages in takedowns, control time, win rate, and overall skill rating.
Light Heavyweight Bout: Diyar Nurgozhay vs Bruno Lopes
Our AI ensemble predicts Diyar Nurgozhay to win this light heavyweight contest with a 73% probability. Nurgozhay's advantages in age and win streak, coupled with his distance strike share, are key factors. Despite some individual models favoring Bruno Lopes due to skill rating, the calibrated ensemble weighting leads to Nurgozhay. Models λ, ε, β, and ζ support Nurgozhay, emphasizing his age, win streak, and distance striking.
Lightweight Bout: Diego Ferreira vs Billy Quarantillo
The AI ensemble favors Diego Ferreira in this lightweight bout with a 58% probability. Ferreira's superior skill rating and notable wins, such as his victory over Kyle Nelson, are the main drivers. While several models lean towards Billy Quarantillo due to age and prime considerations, the combined ensemble prediction ultimately sides with Ferreira. Model ε highlights Ferreira's reach advantage, and models κ and τ point to his higher skill rating and past wins.
Heavyweight Bout: Steven Asplund vs Guilherme Pat
Our AI ensemble predicts Steven Asplund to win this heavyweight bout with an 80% probability. Asplund's wins over Anthony Guarascio, Sean Sharaf, and Kyle Coldiron, combined with his reach and age advantages over Guilherme Pat, are the strongest indicators. Models λ, ε, β, ζ, and κ all support Asplund, citing his reach, age, win rate, and higher skill rating as key advantages.
Lightweight Main Event: Mateusz Gamrot vs Quillan Salkilld
In the main event, our AI ensemble makes a strong prediction for Quillan Salkilld to win with an 80% probability, diverging from the web and expert consensus which favors Mateusz Gamrot. Salkilld's significant advantages in age and win rate over Gamrot, along with his recent victory over Stefan Licastro, are the primary drivers. Models λ, ε, β, ζ, and κ all support Salkilld, highlighting his better significant strikes absorbed, higher Elo rating, reach advantage, and overall higher skill rating.
For a comprehensive overview of all our predictions and detailed forecasts, please visit our prediction and forecast pages.