UFC 330: Makhachev vs. Machado Garry takes place on August 15, 2026, and FightChoice's AI ensemble has analyzed every bout on the card. Our sophisticated AI system provides predictions and detailed reasoning, focusing on the key factors that drive each outcome. Here's a breakdown of our AI's picks and the analysis behind them.
Magny vs. Brahimaj: Magny Edges Out Brahimaj
Our AI ensemble predicts Neil Magny to win against Ramiz Brahimaj with a 75% win probability. This pick is primarily driven by Model κ's skill ratings and Model λ's advantages in reach and Elo rating. While some models considered Brahimaj due to age and past prime factors, the combined AI analysis leans towards Magny. Model λ specifically cites Magny's reach, Elo rating, and age as key advantages, a sentiment echoed by Model ε regarding reach and Elo rating.
Luque vs. Gore: Gore Surprises as the AI Pick
In a surprising outcome, our AI ensemble favors Tresean Gore over Vicente Luque with a 63% win probability. This prediction stems from the AI's calibration and weighting, which heavily emphasizes Gore's advantages in age, being past prime, and switch-stance fighting. While individual models like λ and ε favored Luque due to higher Elo ratings and accuracy, the ensemble's final decision highlights the importance of the weighted factors for Gore.
Neal vs. Njokuani: Neal Favored to Secure Victory
The AI ensemble strongly favors Geoff Neal to defeat Chidi Njokuani, predicting an 80% win probability. This pick is underpinned by Neal's superior skill rating and Njokuani's past prime status, compounded by Njokuani's losses to fighters like Michal Oleksiejczuk. Models λ and ε point to Neal's striking advantages, while Model β and ζ highlight Njokuani's past prime status as a significant factor. Model κ reinforces the pick with Neal's higher skill rating.
Wells vs. Orolbai: Orolbai Predicted to Dominate
Our AI ensemble predicts Myktybek Orolbai to win against Jeremiah Wells with a high 80% win probability. The primary drivers for this prediction are Orolbai's superior skill rating and Wells' age and past prime status. Models λ, ε, β, and ζ all highlight Wells' age and past prime status as critical factors, with additional emphasis on Orolbai's control time and takedown advantages. Model κ further supports this with Orolbai's higher skill rating.
Barboza vs. Ribovics: Ribovics Tipped for the Win
The AI ensemble predicts Esteban Ribovics to emerge victorious against Edson Barboza with an 80% win probability. This prediction is largely influenced by Ribovics' age advantage and win rate, coupled with Barboza being considered past his prime. Model λ and ε note Ribovics' age advantage, while Model β emphasizes his better win rate. Model ζ strongly favors Ribovics due to Barboza's age and past prime status.
Abdul-Malik vs. Stoltzfus: Abdul-Malik the AI's Choice
Our AI ensemble predicts Mansur Abdul-Malik to defeat Dustin Stoltzfus with a 77% win probability. Key factors driving this prediction are Abdul-Malik's superior skill rating and age advantage. Models λ, ε, β, and ζ all point to Abdul-Malik's advantages in age, reach, and recent win rate, with several noting Stoltzfus's higher Elo rating as a counterpoint that is outweighed. Model κ solidifies the pick with Abdul-Malik's higher skill rating.
Turner vs. Fernandes: Fernandes Edges Out Turner
The AI ensemble favors Kaue Fernandes to win against Jalin Turner with a 69% win probability. This prediction is driven by Fernandes' advantages in significant strikes landed and win rate, despite Turner possessing a higher skill rating and a southpaw advantage. Models β and ζ strongly supported Fernandes based on his win rate and striking metrics, while Models κ and ε leaned towards Turner. The final prediction reflects a calibrated weighting favoring Fernandes.
Blanchfield vs. Jasudavicius: Blanchfield the Clear Favorite
Our AI ensemble predicts Erin Blanchfield to defeat Jasmine Jasudavicius with a strong 80% win probability. This pick is driven by Blanchfield's superior skill rating and age advantage. Multiple models highlight Blanchfield's youth and less 'past prime' status as key differentiators. Model λ, ε, β, and ζ all emphasize Blanchfield's age and Elo rating advantages, with Model κ confirming the pick based on her higher skill rating.
Dern vs. Robertson: Robertson Predicted to Triumph
The AI ensemble predicts Gillian Robertson to win against Mackenzie Dern with a 79% win probability. Robertson's recent victories over Priscila Cachoeira, Michelle Waterson-Gomez, Polyana Viana, and Mariya Agapova are the strongest indicators. The 'bayes' model shows extreme confidence due to her win streak and control time. Models λ, ε, β, and ζ highlight Robertson's advantages in striking accuracy, age, and control time, while Model κ favors Dern based on skill ratings.
Makhachev vs. Machado Garry: Makhachev the AI's Top Pick
In the main event, our AI ensemble overwhelmingly favors Islam Makhachev to defeat Ian Machado Garry with an 80% win probability. Makhachev's superior skill rating and significant past wins, including his victory over Dustin Poirier, are the primary drivers. Models λ, ε, β, ζ, and κ all point to Makhachev's dominance in various metrics, including Elo rating, win streak, and skill rating. While some models considered Garry's age, Makhachev's overall statistical superiority leads to this strong prediction.
FightChoice AI Predictions Summary
Our AI ensemble provides a data-driven perspective on UFC 330. For a comprehensive overview of all our predictions and detailed forecasts for each fight, please visit our prediction and forecast pages.