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UFC 327: Prochazka vs Ulberg Predictions: Jiri Prochazka vs Carlos Ulberg

Date: Saturday, April 11, 2026. Venue: Kaseya Center. Location: Miami, FL. 12 fights analyzed with AI-powered ML predictions.

Fight Card Predictions

FightPickWin ProbabilityConsensusWeight Class
Jiri Prochazka vs Carlos Ulberg (Title Fight)Jiri Prochazka55%Unanimous (5/5)Light Heavyweight
Azamat Murzakanov vs Paulo CostaAzamat Murzakanov55%Strong (4/5)Light Heavyweight
Curtis Blaydes vs Josh HokitCurtis Blaydes53%Split (3/5)Heavyweight
Dominick Reyes vs Johnny WalkerDominick Reyes56%Strong (4/5)Light Heavyweight
Cub Swanson vs Nate LandwehrCub Swanson62%Split (3/5)Featherweight
Patricio Freire vs Aaron PicoPatricio Freire57%Split (3/5)Featherweight
Mateusz Gamrot vs Esteban RibovicsMateusz Gamrot59%Strong (4/5)Lightweight
Kevin Holland vs Randy BrownRandy Brown54%Split (3/5)Welterweight
Tatiana Suarez vs Loopy GodinezTatiana Suarez59%Unanimous (5/5)Women's Strawweight
Chris Padilla vs MarQuel MederosChris Padilla57%Unanimous (5/5)Lightweight
Kelvin Gastelum vs Vicente LuqueVicente Luque52%Strong (4/5)Middleweight
Charles Radtke vs Francisco PradoCharles Radtke56%Split (3/5)Welterweight

Analysis Highlights

Jiri Prochazka vs Carlos Ulberg

Pick: Jiri Prochazka (55%). Unanimous (5/5). Betting edge: +3.6%.

All 5 models unanimously pick Prochazka (5/5 agreement).

Pick'em title fight — near coin-flip odds at -104.

Model gives 54.6% vs. implied 51.0%, yielding +3.6% edge.

Both are strikers; model predicts 146 total sig strikes with near-zero takedowns. Over 2.5 rounds at -102 has +12.1% edge.

Azamat Murzakanov vs Paulo Costa

Pick: Azamat Murzakanov (55%). Strong (4/5).

4/5 models pick Murzakanov. Minimal Ensemble leans Costa.

Murzakanov is 16-0 with 83% finish rate but heavily overpriced at -229 (69.6% implied).

Model gives only 55.3% — massive -14.3% negative edge. PASS on the favorite.

Costa at LHW debut adds uncertainty; sharp money moving line down toward Costa.

Curtis Blaydes vs Josh Hokit

Pick: Curtis Blaydes (53%). Split (3/5).

Split decision: 2/5 models pick Blaydes, 3/5 pick Hokit by raw count, but weighted ensemble favors Blaydes at 52.9%.

Glicko-2 rating heavily favors Blaydes (94.3% Glicko-only) but ELO near coin flip (48.3%).

Hokit only has 2 UFC fights — limited data reduces model confidence.

Market at -122 (55.0% implied) overprices Blaydes vs. model's 52.9%. No edge.

Dominick Reyes vs Johnny Walker

Pick: Dominick Reyes (56%). Strong (4/5).

4/5 models pick Reyes. Only Minimal Ensemble leans Walker.

Both are KO artists — 57.3% KO probability for this fight.

Book dramatically overprices R1 finish: book 62.5%, model 34.8%.

Over 1.5 rounds at +152 is the single highest-edge bet on the entire card (+27.7% edge).

Cub Swanson vs Nate Landwehr

Pick: Cub Swanson (62%). Split (3/5). Betting edge: +10.7%.

3/5 models pick Swanson (XGBoost, ELO/Glicko, Minimal). Stacking and Bayesian lean Landwehr.

61.7% model probability at -104 odds (51.0% implied) = +10.7% edge.

Highest model confidence pick on the card. Swanson's retirement fight with KO momentum.

Over 2.5 rounds at -118 is the best prop bet on the card (+23.3% edge, 4-model agreement).

All Breakdowns

UFC 327: Prochazka vs Ulberg: Jiri Prochazka vs Carlos Ulberg — Full Card Predictions & Betting Analysis

Kaseya Center, Miami, FL
12 Fights

Key Takeaways

Strongest Pick

Cub Swanson

62% confidence

Best Bets

5 fights with positive Kelly edge

Jiri Prochazka, Cub Swanson, Patricio Freire, Randy Brown, Vicente Luque

Toss-Ups / Upset Alerts

4 fights near 50/50

Jiri Prochazka vs Carlos Ulberg, Curtis Blaydes vs Josh Hokit, Kevin Holland vs Randy Brown, Kelvin Gastelum vs Vicente Luque

Fight-by-Fight Breakdown

(12 fights)

Jiri Prochazka — Methods

KO/TKO
45%
Submission
5%
Decision
50%

Carlos Ulberg — Methods

KO/TKO
50%
Submission
5%
Decision
45%

Model Consensus — 5/5 agree on Jiri Prochazka

XGBoost Calibrated

Jiri Prochazka (52%)

Stacking Ensemble

Jiri Prochazka (59%)

ELO/Glicko-2

Jiri Prochazka (52%)

Minimal Ensemble

Jiri Prochazka (51%)

Bayesian Logistic

Jiri Prochazka (61%)

Betting Edge Detected

Edge vs Market

+3.6%

Kelly Stake

0.0%

Analysis

  • All 5 models unanimously pick Prochazka (5/5 agreement).
  • Pick'em title fight — near coin-flip odds at -104.
  • Model gives 54.6% vs. implied 51.0%, yielding +3.6% edge.
  • Both are strikers; model predicts 146 total sig strikes with near-zero takedowns. Over 2.5 rounds at -102 has +12.1% edge.

Consensus: Unanimous (5/5)

Azamat Murzakanov — Methods

KO/TKO
40%
Submission
10%
Decision
50%

Paulo Costa — Methods

KO/TKO
35%
Submission
5%
Decision
60%

Model Consensus — 4/5 agree on Azamat Murzakanov

XGBoost Calibrated

Azamat Murzakanov (51%)

Stacking Ensemble

Azamat Murzakanov (59%)

ELO/Glicko-2

Azamat Murzakanov (66%)

Minimal Ensemble

Paulo Costa (59%)

Bayesian Logistic

Azamat Murzakanov (56%)

Analysis

  • 4/5 models pick Murzakanov. Minimal Ensemble leans Costa.
  • Murzakanov is 16-0 with 83% finish rate but heavily overpriced at -229 (69.6% implied).
  • Model gives only 55.3% — massive -14.3% negative edge. PASS on the favorite.
  • Costa at LHW debut adds uncertainty; sharp money moving line down toward Costa.

Consensus: Strong (4/5)

Curtis Blaydes — Methods

KO/TKO
30%
Submission
15%
Decision
55%

Josh Hokit — Methods

KO/TKO
40%
Submission
15%
Decision
45%

Model Consensus — 2/5 agree on Curtis Blaydes

XGBoost Calibrated

Curtis Blaydes (51%)

Stacking Ensemble

Josh Hokit (51%)

ELO/Glicko-2

Curtis Blaydes (71%)

Minimal Ensemble

Josh Hokit (56%)

Bayesian Logistic

Josh Hokit (55%)

Analysis

  • Split decision: 2/5 models pick Blaydes, 3/5 pick Hokit by raw count, but weighted ensemble favors Blaydes at 52.9%.
  • Glicko-2 rating heavily favors Blaydes (94.3% Glicko-only) but ELO near coin flip (48.3%).
  • Hokit only has 2 UFC fights — limited data reduces model confidence.
  • Market at -122 (55.0% implied) overprices Blaydes vs. model's 52.9%. No edge.

Consensus: Split (3/5)

Best Bets — Positive Kelly Edges

Methodology

BoutMetrics predictions are generated by a 5-model ML ensemble that combines diverse algorithmic approaches to produce fight-by-fight probabilities. The ensemble achieved 65.8% accuracy on historical UFC events when backtested across 1,000+ fights.

Stacking Ensemble

62.5%

Meta-learner combining base model predictions

XGBoost Calibrated

59.7%

Gradient boosting with Platt scaling

ELO/Glicko-2

60.1%

Rating-system-based probability estimation

Minimal Ensemble

61.1%

Lightweight feature set for robustness

Bayesian Logistic

60.7%

Probabilistic logistic regression

The final ensemble prediction uses a weighted average of individual model outputs, calibrated to produce well-formed probability estimates. Betting edges are computed by comparing model probabilities against the best available sportsbook odds, with Kelly criterion applied for bankroll-optimal sizing.

Disclaimer: All predictions are for informational and entertainment purposes only. Past performance does not guarantee future results. Please gamble responsibly.

UFC 327: Prochazka vs Ulberg Predictions: Jiri Prochazka vs Carlos Ulberg | BoutMetrics