UFC Fight Night: Gamrot vs Salkilld, taking place on August 8, 2026, features a compelling lineup of matchups. At FightChoice, our AI ensemble has analyzed each bout to provide a data-driven prediction. Here's a breakdown of who our model favors and the reasoning behind each pick.

Fight 1: Mateusz Gamrot vs Quillan Salkilld

Our AI ensemble predicts Quillan Salkilld to win this lightweight bout with a 78% probability. This prediction is driven by Salkilld's superior skill rating and age advantage over Gamrot. Several individual models contributing to the ensemble highlight Salkilld's higher significant strike accuracy and his current win streak as key factors. While some models acknowledge Gamrot's past victories, the ensemble's weighted analysis strongly favors Salkilld due to these statistical advantages.

Fight 2: Steven Asplund vs Guilherme Pat

The ensemble strongly favors Steven Asplund to win this heavyweight clash, with an 80% win probability. Asplund's advantages in reach and age, coupled with his recent victories, are the primary drivers for this prediction. Most contributing models align with this outcome, noting Asplund's superior significant strikes landed. Despite Guilherme Pat holding a height advantage, Asplund's statistical edge in key metrics makes him the favored fighter.

Fight 3: Diego Ferreira vs Billy Quarantillo

Our AI ensemble predicts Diego Ferreira to emerge victorious in this lightweight contest with a 60% win probability. The ensemble's lean towards Ferreira is primarily based on differences in skill rating and Ferreira's reach advantage. While some individual models favor Quarantillo due to age and being less past his prime, the ensemble's calibration and weighting ultimately tip the scales in favor of Ferreira, who also shows an advantage in absorbing fewer significant strikes.

Fight 4: Louie Sutherland vs Jose Montanha

The ensemble predicts Louie Sutherland to win this heavyweight bout with a 58% win probability. Sutherland's reach advantage and higher win rate are the most significant factors driving this prediction. While one model notes specific past losses for Sutherland, the ensemble's weighted assessment, considering Sutherland's superior reach, win rate, and takedowns landed, favors him in this matchup.

Fight 5: Diyar Nurgozhay vs Bruno Lopes

Our AI ensemble predicts Diyar Nurgozhay to win this light heavyweight bout with a strong 80% win probability. Nurgozhay's win streak and age advantage over Lopes are key drivers, alongside his superior distance striking share. Despite one model favoring Lopes based on skill rating, the ensemble's combined analysis, emphasizing Nurgozhay's statistical edges, leads to this confident prediction.

Fight 6: Amanda Lemos vs Alexia Thainara

The AI ensemble strongly favors Alexia Thainara to win this women's strawweight fight, with an 80% win probability. Thainara's superior win rate, significant strikes landed, and advantages in age and prime are the most influential factors. While Amanda Lemos's southpaw stance is noted by some models, Thainara's statistical dominance across multiple metrics, including takedowns landed and control time, makes her the clear favorite.

Conclusion

The FightChoice AI ensemble provides a unique perspective on UFC Fight Night: Gamrot vs Salkilld, highlighting statistical advantages and matchup dynamics. For a comprehensive overview of all our predictions and detailed forecasts for each fighter, please visit our prediction and forecast pages.