Research / Model Analysis

UFC Fight Night: Silva vs Delgado: Model Analysis

Event: UFC Fight Night: Silva vs Delgado Posted: September 10, 2026 · VAR Research First fight: September 12 2026, 21:00 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.

Jose Miguel Delgado vs Jean Silva. Public consensus implies Jose Miguel Delgado at 18.9%. Our model projects 48.8%. A 30-point gap, with Jose Miguel Delgado materially underrated by the market.

Drakkar Klose vs Tommy Gantt. Public consensus implies Drakkar Klose at 17.9%. Our model projects 43.5%. A 26-point gap, with Drakkar Klose materially underrated by the market.

Full card projection

Matchup Projection Confidence
Jean Silva vs Jose Miguel Delgado Jean Silva 51.2% Coin flip
Brandon Moreno vs Joseph Morales Brandon Moreno 71.2% High
Tommy McMillen vs Marwan Rahiki Marwan Rahiki 50.7% Coin flip
Manon Fiorot vs Alexa Grasso Manon Fiorot 62.6% Medium
Waldo Cortes Acosta vs Curtis Blaydes Waldo Cortes Acosta 53.6% Coin flip
David Martinez vs Dan Ige David Martinez 77.0% High
Tim Elliott vs Edgar Chairez Edgar Chairez 64.7% Medium
Ignacio Bahamondes vs Muslim Salikhov Ignacio Bahamondes 67.5% High
Yousri Belgaroui vs Djorden Santos Yousri Belgaroui 76.2% High
Drakkar Klose vs Tommy Gantt Tommy Gantt 56.5% Medium
Rafa Garcia vs Rongzhu Rafa Garcia 62.7% Medium
JJ Aldrich vs Regina Tarin Regina Tarin 62.9% Medium

Matchup notes

Jean Silva vs Jose Miguel Delgado. Style symmetry between Jean Silva and Jose Miguel Delgado. The model declines to favor either side beyond noise.

Brandon Moreno vs Joseph Morales. Brandon Moreno outpaces Joseph Morales on strike volume (3.8 vs 2.0 per minute).

Tommy McMillen vs Marwan Rahiki. Style symmetry between Marwan Rahiki and Tommy McMillen. The model declines to favor either side beyond noise.

Manon Fiorot vs Alexa Grasso. Striker-vs-striker matchup with Manon Fiorot carrying the volume edge (5.7 vs 4.1 sig strikes per minute). Manon Fiorot enters 5-0 in his last 5; Alexa Grasso is 3-2. Recent-form trajectory tilts the matchup.

Waldo Cortes Acosta vs Curtis Blaydes. Style symmetry between Waldo Cortes Acosta and Curtis Blaydes. The model declines to favor either side beyond noise.

David Martinez vs Dan Ige. David Martinez outpaces Dan Ige on strike volume (4.8 vs 3.6 per minute).

Tim Elliott vs Edgar Chairez. Model projects Edgar Chairez (64.7%) over Tim Elliott; thin career data on both sides limits the narrative beyond the projection itself.

Ignacio Bahamondes vs Muslim Salikhov. Ignacio Bahamondes outpaces Muslim Salikhov on strike volume (6.5 vs 3.4 per minute).

Yousri Belgaroui vs Djorden Santos. Striker-vs-striker matchup, with Yousri Belgaroui’s accuracy edge (66% vs 44%) doing the work. Yousri Belgaroui absorbs notably less (2.5 vs 6.0 per minute), projecting better damage profile through three rounds.

Drakkar Klose vs Tommy Gantt. Tommy Gantt’s grappling pressure (10.8 takedowns / 15 min) projects to neutralize Drakkar Klose’s striking lane. Tommy Gantt holds the takedown-rate edge (10.8 vs 1.5 per 15 min).

Rafa Garcia vs Rongzhu. Rafa Garcia’s grappling pressure (3.1 takedowns / 15 min) projects to neutralize Rongzhu’s striking lane. Rafa Garcia holds the takedown-rate edge (3.1 vs 1.4 per 15 min).

JJ Aldrich vs Regina Tarin. Regina Tarin outpaces JJ Aldrich on strike volume (7.6 vs 4.0 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.