UFC Fight Night: Medic vs Rodriguez: Model Analysis

Event: UFC Fight Night: Medic vs Rodriguez Posted: August 1, 2026 · VAR Research First fight: August 1 2026, 17:00 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.

Dusko Todorovic vs Robert Valentin. Public consensus implies Dusko Todorovic at 41.9%. Our model projects 72.6%. A 31-point gap, with Dusko Todorovic materially underrated by the market.

Oban Elliott vs Michael Oliveira. Public consensus implies Oban Elliott at 24.4%. Our model projects 50.0%. A 26-point gap, with Oban Elliott materially underrated by the market.

Full card projection

Matchup notes

Uros Medic vs Daniel Rodriguez. Striker-vs-striker matchup, with Uros Medic’s accuracy edge (60% vs 49%) doing the work. Uros Medic absorbs notably less (3.4 vs 5.4 per minute), projecting better damage profile through three rounds.

Jan Blachowicz vs Navajo Stirling. Navajo Stirling enters 5-0 in his last 5; Jan Blachowicz is 2-3. Recent-form trajectory tilts the matchup. Navajo Stirling outpaces Jan Blachowicz on strike volume (6.1 vs 3.5 per minute).

Aleksandar Rakic vs Marcin Tybura. Model projects Aleksandar Rakic (69.8%) over Marcin Tybura; thin career data on both sides limits the narrative beyond the projection itself.

Dusko Todorovic vs Robert Valentin. Dusko Todorovic outpaces Robert Valentin on strike volume (4.7 vs 1.1 per minute).

Vlasto Čepo vs Gilbert Urbina. Model projects Vlasto Čepo (56.2%) over Gilbert Urbina; thin career data on both sides limits the narrative beyond the projection itself.

Milos Janicic vs Noah Gugnon. Model projects Milos Janicic (57.1%) over Noah Gugnon; thin career data on both sides limits the narrative beyond the projection itself.

Ludovit Klein vs Tofiq Musayev. Ludovit Klein outpaces Tofiq Musayev on strike volume (3.8 vs 0.4 per minute).

Oban Elliott vs Michael Oliveira. Style symmetry between Oban Elliott and Michael Oliveira. The model declines to favor either side beyond noise.

Borislav Nikolic vs Mark Vologdin. Model projects Borislav Nikolic (58.2%) over Mark Vologdin; thin career data on both sides limits the narrative beyond the projection itself.

Dennis Buzukja vs Bogdan Grad. Bogdan Grad’s grappling pressure (4.2 takedowns / 15 min) projects to neutralize Dennis Buzukja’s striking lane. Bogdan Grad holds the takedown-rate edge (4.2 vs 0.6 per 15 min).

Mateusz Rebecki vs Kyle Prepolec. Mateusz Rebecki enters 4-1 in his last 5; Kyle Prepolec is 0-5. Recent-form trajectory tilts the matchup. Mateusz Rebecki holds the takedown-rate edge (3.4 vs 0.0 per 15 min).

Nina Milošević vs Hailey Cowan. Model projects Nina Milošević (74.8%) over Hailey Cowan; thin career data on both sides limits the narrative beyond the projection itself.

Jovan Leka vs Alexander Poppeck. Jovan Leka’s grappling-vs-striking matchup tilts the projection. Jovan Leka absorbs notably less (0.6 vs 9.8 per minute), projecting better damage profile through three rounds.

Marina Spasić vs Stephanie Luciano. Model projects Stephanie Luciano (56.8%) over Marina Spasić; 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: 6-1 across 7 settled fights.

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