UFC Fight Night: Moicano vs Nolan: Model Analysis

Event: UFC Fight Night: Moicano vs Nolan Posted: October 29, 2026 · VAR Research First fight: November 1 2026, 00:00 UTC Card scope: 11 fights, lines locked at posted time Methodology: Methodology Model accuracy: Performance

Where the model diverges from consensus

One matchup shows a meaningful gap between our projected win probability and the public consensus.

Randy Brown vs Jacobe Smith. Public consensus implies Randy Brown at 26.8%. Our model projects 44.9%. A 18-point gap, with Randy Brown materially underrated by the market.

Full card projection

No projection is published for 5 bouts: our database is missing career statistics for a fighter (Dakota Hope, Farman Hasanov, Joe Kropschot, Lucia Szabová, Theodor Berggren), and a number built on blank inputs would not be a real projection. These bouts are left out of the card record below.

Matchup notes

Renato Moicano vs Tom Nolan. Style symmetry between Renato Moicano and Tom Nolan. The model declines to favor either side beyond noise.

Randy Brown vs Jacobe Smith. Jacobe Smith’s grappling pressure (7.8 takedowns / 15 min) projects to neutralize Randy Brown’s striking lane. Jacobe Smith holds the takedown-rate edge (7.8 vs 0.8 per 15 min).

Ode Osbourne vs Cody Durden. Ode Osbourne absorbs notably less (3.2 vs 4.5 per minute), projecting better damage profile through three rounds.

Yana Santos vs Luana Santos. Luana Santos’s grappling pressure (2.2 takedowns / 15 min) projects to neutralize Yana Santos’s striking lane. Luana Santos’s takedown defense (85%) is the largest gap on the board against Yana Santos’s (51%).

Julian Erosa vs JeongYeong Lee. Style symmetry between Julian Erosa and JeongYeong Lee. The model declines to favor either side beyond noise.

Talita Alencar vs Piera Rodriguez. Piera Rodriguez holds the takedown-rate edge (4.5 vs 3.0 per 15 min).

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=259, through 2026-10-24; as of 2026-10-29):

• Straight-up winner accuracy: 62.9% (95% interval [56.9%, 68.7%])
• On the 249 fights with a pre-bout market price: the market’s favorite won 70.7%; Brier score model 0.233 vs de-vigged market 0.202 — 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

Populates after card concludes.

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