UFC 332: Silva vs Wang: Model Analysis

Event: UFC 332: Silva vs Wang Posted: October 7, 2026 · VAR Research First fight: October 4 2026, 00:00 UTC Card scope: 14 fights, lines locked at posted time Methodology: Methodology Model accuracy: Performance

Where the model diverges from consensus

Two matchups show the largest gap between our projected win probability and the public consensus.

Lucas Armand vs Anthony Wint. Public consensus implies Lucas Armand at 19.1%. Our model projects 61.0%. A 42-point gap, with Lucas Armand materially underrated by the market.

King Green vs Esteban Ribovics. Public consensus implies King Green at 38.4%. Our model projects 71.8%. A 33-point gap, with King Green materially underrated by the market.

Full card projection

Matchup notes

Natalia Silva vs Wang Cong. Natalia Silva enters 5-0 in his last 5; Wang Cong is 3-2. Recent-form trajectory tilts the matchup.

Deiveson Figueiredo vs Payton Talbott. Payton Talbott brings the cleaner striking and credible takedown defense (77%) to keep the fight standing. Payton Talbott outpaces Deiveson Figueiredo on strike volume (6.6 vs 2.6 per minute).

King Green vs Esteban Ribovics. Striker-vs-striker matchup, with King Green’s accuracy edge (53% vs 43%) doing the work. King Green absorbs notably less (3.6 vs 6.3 per minute), projecting better damage profile through three rounds.

Khaos Williams vs Roberto Soldić. Style symmetry between Roberto Soldić and Khaos Williams. The model declines to favor either side beyond noise.

Ateba Gautier vs Roman Kopylov. Ateba Gautier absorbs notably less (2.9 vs 5.2 per minute), projecting better damage profile through three rounds.

Imanol Rodriguez vs Alden Coria. Imanol Rodriguez outpaces Alden Coria on strike volume (5.7 vs 4.7 per minute).

Damian Pinas vs Andrey Pulyaev. Damian Pinas enters 3-0 in his last 5; Andrey Pulyaev is 1-4. Recent-form trajectory tilts the matchup. Damian Pinas outpaces Andrey Pulyaev on strike volume (7.5 vs 3.8 per minute).

Marcus McGhee vs Anthony Romero. Model projects Marcus McGhee (69.3%) over Anthony Romero; thin career data on both sides limits the narrative beyond the projection itself.

Anthony Wint vs Lucas Armand. Model projects Lucas Armand (61.0%) over Anthony Wint; thin career data on both sides limits the narrative beyond the projection itself.

Johnny Walker vs Mick Parkin. Style symmetry between Mick Parkin and Johnny Walker. The model declines to favor either side beyond noise.

Jacobe Smith vs Bruce Whitehead. Model projects Jacobe Smith (74.7%) over Bruce Whitehead; thin career data on both sides limits the narrative beyond the projection itself.

Rafael Dos Anjos vs Alexander Hernandez. Alexander Hernandez’s takedown defense (73%) is the largest gap on the board against Rafael Dos Anjos’s (54%).

Marvin Vettori vs Ismail Naurdiev. Ismail Naurdiev absorbs notably less (1.8 vs 4.5 per minute), projecting better damage profile through three rounds.

Court McGee vs Eric Nolan. Style symmetry between Eric Nolan and Court McGee. The model declines to favor either side beyond noise.

How to read this

Projections come from VAR’s production UFC ensemble model, refreshed nightly. The model combines fighter performance metrics, simulation-based fight modeling, and historical opponent-strength signal, with conservative treatment of fighters who have limited recent data.

Confidence labels reflect projection spread:

• High: pick probability above 65%
• Medium: pick probability between 55 and 65%
• Coin flip: pick probability below 55%

Note: this analysis does not incorporate fight-week intelligence such as late injury reports or weight cut difficulty. Those signals are tracked through a separate process.

Model accuracy — live forward record

Every fight the production model priced before the bell since 2026-05-30, graded against the official result (n=217, through 2026-10-04; as of 2026-10-07):

• Straight-up winner accuracy: 64.5% (95% interval [58.0%, 70.7%])
• On the 209 fights with a pre-bout market price: the market’s favorite won 71.8%; Brier score model 0.224 vs de-vigged market 0.191 — the market is better calibrated.
• No betting tier has a validated positive return. VAR does not present UFC as a betting edge.

Full record, per card, with the withdrawn validation noted: Performance.

Results

Card record: 9-4 across 13 settled fights.

For research and informational purposes only. Probabilities reflect model output and may diverge from realized outcomes.