UFC Fight Night: Nurmagomedov vs Song: Model Analysis

Event: UFC Fight Night: Nurmagomedov vs Song Posted: September 2, 2026 · VAR Research First fight: August 29 2026, 10:00 UTC Card scope: 11 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.

Nilson Rojas vs Bilal Hasan. Public consensus implies Nilson Rojas at 10.9%. Our model projects 34.2%. A 23-point gap, with Nilson Rojas materially underrated by the market.

Kevin Borjas vs Rei Tsuruya. Public consensus implies Kevin Borjas at 10.8%. Our model projects 30.7%. A 20-point gap, with Kevin Borjas materially underrated by the market.

Full card projection

Matchup notes

Umar Nurmagomedov vs Song Yadong. Umar Nurmagomedov’s grappling pressure (4.0 takedowns / 15 min) projects to neutralize Song Yadong’s striking lane. Umar Nurmagomedov holds the takedown-rate edge (4.0 vs 0.8 per 15 min).

Yan Xiaonan vs Denise Gomes. Model projects Denise Gomes (58.1%) over Yan Xiaonan; thin career data on both sides limits the narrative beyond the projection itself.

Aoriqileng vs Kai Asakura. Kai Asakura absorbs notably less (3.5 vs 5.5 per minute), projecting better damage profile through three rounds.

Alex Perez vs Sumudaerji. Sumudaerji absorbs notably less (2.4 vs 3.2 per minute), projecting better damage profile through three rounds.

Bilal Hasan vs Nilson Rojas. Model projects Bilal Hasan (65.8%) over Nilson Rojas; thin career data on both sides limits the narrative beyond the projection itself.

Namsrai Batbayar vs Andre Lima. Andre Lima absorbs notably less (2.5 vs 3.6 per minute), projecting better damage profile through three rounds.

Rei Tsuruya vs Kevin Borjas. Rei Tsuruya holds the takedown-rate edge (5.1 vs 0.0 per 15 min).

Jack Jenkins vs Sean Woodson. Style symmetry between Jack Jenkins and Sean Woodson. The model declines to favor either side beyond noise.

Xiao Long vs Francesco Nuzzi. Model projects Xiao Long (73.6%) over Francesco Nuzzi; thin career data on both sides limits the narrative beyond the projection itself.

Lawrence Lui vs Hector Santiago. Model projects Lawrence Lui (61.8%) over Hector Santiago; thin career data on both sides limits the narrative beyond the projection itself.

Ding Meng vs Cam Nelson. Model projects Ding Meng (56.9%) over Cam Nelson; thin career data on both sides limits the narrative beyond the projection itself.

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

Cross-validated across 3 independent test seasons in our 2026-04-30 audit:

• Straight-up winner accuracy across all fights: 76.7%
• Highest-confidence subset (n=207): 69.1% directional accuracy, 95% confidence interval [62.5%, 75.0%]

Full validation methodology and per-season breakdowns: Methodology.

Results

Card record: 6-5 across 11 settled fights.

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