Research / Model Analysis

UFC Fight Night: Fiziev vs Torres: Model Analysis

Event: UFC Fight Night: Fiziev vs Torres Posted: June 23, 2026 · VAR Research First fight: June 27 2026, 16:00 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.

Michel Pereira vs Shara Magomedov. Public consensus implies Michel Pereira at 22.2%. Our model projects 45.2%. A 23-point gap, with Michel Pereira materially underrated by the market.

Andrey Pulyaev vs Nursulton Ruziboev. Public consensus implies Andrey Pulyaev at 35.3%. Our model projects 56.1%. A 21-point gap, with Andrey Pulyaev materially underrated by the market.

Full card projection

Matchup Projection Confidence
Rafael Fiziev vs Manuel Torres Manuel Torres 60.9% Medium
Shara Magomedov vs Michel Pereira Shara Magomedov 54.8% Coin flip
Nazim Sadykhov vs Matheus Camilo Nazim Sadykhov 62.3% Medium
Asu Almabayev vs Charles Johnson Asu Almabayev 54.1% Coin flip
Ikram Aliskerov vs Brunno Ferreira Ikram Aliskerov 72.1% High
Abus Magomedov vs Michal Oleksiejczuk Abus Magomedov 61.0% Medium
Farman Hasanov vs Eric Nolan Farman Hasanov 52.4% Coin flip
Abdul Rakhman Yakhyaev vs Julius Walker Abdul Rakhman Yakhyaev 67.9% High
Nursulton Ruziboev vs Andrey Pulyaev Andrey Pulyaev 56.1% Medium
Daniil Donchenko vs Theodor Berggren Daniil Donchenko 69.5% High
Bekzat Almakhan vs Jean Matsumoto Jean Matsumoto 70.8% High

Matchup notes

Rafael Fiziev vs Manuel Torres. Manuel Torres outpaces Rafael Fiziev on strike volume (7.3 vs 4.7 per minute).

Shara Magomedov vs Michel Pereira. Style symmetry between Shara Magomedov and Michel Pereira. The model declines to favor either side beyond noise.

Nazim Sadykhov vs Matheus Camilo. Nazim Sadykhov brings the cleaner striking and credible takedown defense (72%) to keep the fight standing. Nazim Sadykhov outpaces Matheus Camilo on strike volume (4.8 vs 2.2 per minute).

Asu Almabayev vs Charles Johnson. Style symmetry between Asu Almabayev and Charles Johnson. The model declines to favor either side beyond noise.

Ikram Aliskerov vs Brunno Ferreira. Ikram Aliskerov outpaces Brunno Ferreira on strike volume (6.9 vs 3.9 per minute).

Abus Magomedov vs Michal Oleksiejczuk. Abus Magomedov’s grappling pressure (2.6 takedowns / 15 min) projects to neutralize Michal Oleksiejczuk’s striking lane. Abus Magomedov holds the takedown-rate edge (2.6 vs 1.0 per 15 min).

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

Abdul Rakhman Yakhyaev vs Julius Walker. Abdul Rakhman Yakhyaev outpaces Julius Walker on strike volume (20.9 vs 3.7 per minute).

Nursulton Ruziboev vs Andrey Pulyaev. Andrey Pulyaev outpaces Nursulton Ruziboev on strike volume (3.8 vs 2.6 per minute).

Daniil Donchenko vs Theodor Berggren. Model projects Daniil Donchenko (69.5%) over Theodor Berggren; thin career data on both sides limits the narrative beyond the projection itself.

Bekzat Almakhan vs Jean Matsumoto. Jean Matsumoto enters 3-2 in his last 5; Bekzat Almakhan is 1-2. Recent-form trajectory tilts the matchup. Jean Matsumoto outpaces Bekzat Almakhan on strike volume (5.4 vs 1.6 per minute).

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

Populates after card concludes.


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

Results

Results pending. Graded after the card concludes.