UFC Fight Night: Buckley vs Malott: Model Analysis

Event: UFC Fight Night: Buckley vs Malott Posted: October 18, 2026 · VAR Research First fight: October 18 2026, 00:00 UTC Card scope: 12 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.

Jhonata Diniz vs Tanner Boser. Public consensus implies Jhonata Diniz at 1.4%. Our model projects 43.1%. A 42-point gap, with Jhonata Diniz materially underrated by the market.

Chelsea Chandler vs Melissa Croden. Public consensus implies Chelsea Chandler at 14.8%. Our model projects 28.0%. A 13-point gap, with Chelsea Chandler materially underrated by the market.

Full card projection

Matchup notes

Joaquin Buckley vs Mike Malott. Style symmetry between Mike Malott and Joaquin Buckley. The model declines to favor either side beyond noise.

Erin Blanchfield vs Jasmine Jasudavicius. Erin Blanchfield outpaces Jasmine Jasudavicius on strike volume (5.2 vs 3.7 per minute).

Kyle Nelson vs Cristian Perez. Cristian Perez holds the takedown-rate edge (3.5 vs 1.2 per 15 min).

Marc-Andre Barriault vs Kyle Daukaus. Kyle Daukaus’s grappling pressure (2.1 takedowns / 15 min) projects to neutralize Marc-Andre Barriault’s striking lane. Kyle Daukaus absorbs notably less (2.9 vs 5.9 per minute), projecting better damage profile through three rounds.

Louis Jourdain vs Timmy Cuamba. Style symmetry between Louis Jourdain and Timmy Cuamba. The model declines to favor either side beyond noise.

Mandel Nallo vs Nate Landwehr. Striker-vs-striker matchup with Mandel Nallo carrying the volume edge (8.6 vs 5.6 sig strikes per minute). Mandel Nallo absorbs notably less (2.6 vs 5.8 per minute), projecting better damage profile through three rounds.

Tanner Boser vs Jhonata Diniz. Tanner Boser absorbs notably less (2.8 vs 3.6 per minute), projecting better damage profile through three rounds.

Julien Leblanc vs Nick Galanti. Model projects Nick Galanti (81.8%) over Julien Leblanc; thin career data on both sides limits the narrative beyond the projection itself.

Javad Mahjoub vs Joel Faglier. Style symmetry between Javad Mahjoub and Joel Faglier. The model declines to favor either side beyond noise.

Chad Anheliger vs Steven Koslow. Steven Koslow holds the takedown-rate edge (5.3 vs 0.7 per 15 min).

Melissa Croden vs Chelsea Chandler. Melissa Croden absorbs notably less (1.8 vs 4.4 per minute), projecting better damage profile through three rounds.

Cody Chovancek vs SuYoung You. SuYoung You holds the takedown-rate edge (3.8 vs 0.0 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=231, through 2026-10-18; as of 2026-10-18):

• Straight-up winner accuracy: 63.6% (95% interval [57.3%, 69.6%])
• On the 222 fights with a pre-bout market price: the market’s favorite won 70.3%; Brier score model 0.231 vs de-vigged market 0.199 — 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: 2-1 across 3 settled fights.

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