Brennan, Michael vs Hojgaard, Rasmus prediction for May 21, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects Hojgaard, Rasmus 81 - Brennan, Michael 81. Brennan, Michael is favored with a 54.7% win probability. The spread is -0.26.
Hojgaard, Rasmus
+0.38
Strokes Gained / Round
VS
H2H • THE CJ CUP Byron Nelson
Brennan, Michael
+0.22
Strokes Gained / Round
Head-to-Head Win Probability
Hojgaard, RasmusBrennan, Michael
+109
Best Odds
+14.4%
Edge
1.5u HIGH
Sizing
Projected Points Range 10th – 90th percentile
Brennan, Michael
748188
Hojgaard, Rasmus
748188
Tournament Context
Event
THE CJ CUP Byron Nelson
Course
TPC Craig Ranch
Field
147 players
Wind
15 mph
Temp
82°F
Conditions
harder (+0.8)
Player Profile — Brennan, Michael
Strokes Gained
+0.22/round
Tour Avg
Course Fit
good
+0.281 SG adj
Expected Finish
81th / 147
Matchup Analysis
Brennan, Michael
+0.22 SG
EF 81th
Skill Gap
-0.26 SG/round
tight edge for Hojgaard, Rasmus
Hojgaard, Rasmus
+0.38 SG
EF 81th · Tour Avg
Edge Breakdown
Our Model
54.7%
Books Say
47.9%
Edge
+14.4%
Brennan, Michael vs Hojgaard, Rasmus: Model gives Brennan, Michael 54.7% win probability vs 47.8% implied (+14.4% edge). Skill advantage: -0.26 SG/round. Expected finish: 81.
AI Intelligence Analysis
LEAN +0YELLOW ZONE0.5% WR (n=380)
Brennan's +0.216 SG and +0.281 course fit create +13.6% edge (54.37% vs 47.85%), but -0.255 skill gap to Hojgaard is a serious concern; venue edge may not overcome form disadvantage.
Key Factors
- Course fit: +0.281 (Brennan advantage at TPC Craig Ranch)
- SG total: +0.216 (Brennan overall)
- Skill gap: -0.255 to Hojgaard (Hojgaard much better on form)
- EF: 81.0 both (similar finish positions)
- Edge: +13.6% but undermined by large skill gap
Risk Factors
- Hojgaard -0.255 skill advantage is substantial
- EF parity (81.0 both) suggests coin-flip
- Betcris +109 likely correct given skill gap
SKILL GAP CONCERNFORM MISMATCH
Edge Analysis
Moneyline
Brennan, Michael 54.7%
+14.4 pts
Spread
-0.3
+14.4 pts
How this prediction was generated: This page shows output from the Olympus Bets PGA Tour Golf Monte Carlo engine. Each game is simulated 10,000 times using real-time team data, injury reports, and current odds. Probabilities are calibrated using Bayesian methods and sized via the Kelly Criterion. Full methodology →