Thorbjornsen, Michael vs Koepka, Brooks prediction for May 21, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects Koepka, Brooks 0 - Thorbjornsen, Michael 69. Thorbjornsen, Michael is favored with a 55.5% win probability. The spread is -0.06.
Koepka, Brooks
+0.00
Strokes Gained / Round
VS
H2H • THE CJ CUP Byron Nelson
Thorbjornsen, Michael
+0.46
Strokes Gained / Round
Head-to-Head Win Probability
Koepka, BrooksThorbjornsen, Michael
+105
Best Odds
+13.8%
Edge
1.5u HIGH
Sizing
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 — Thorbjornsen, Michael
Strokes Gained
+0.46/round
Tour Avg
Course Fit
excellent
+0.455 SG adj
Expected Finish
69th / 147
Matchup Analysis
Thorbjornsen, Michael
+0.46 SG
EF 69th
Skill Gap
-0.06 SG/round
essentially a coin flip
Koepka, Brooks
+0.00 SG
EF 0th · Tour Avg
Edge Breakdown
Our Model
55.5%
Books Say
48.8%
Edge
+13.8%
Thorbjornsen, Michael vs Koepka, Brooks: Model gives Thorbjornsen, Michael 55.5% win probability vs 48.8% implied (+13.8% edge). Expected finish: 69.
AI Intelligence Analysis
STRONG BET +1GREEN ZONE0.6% WR (n=380)
Thorbjornsen's +0.455 SG total and +0.455 course fit create solid +13.7% edge (55.47% vs 48.78%) despite -0.061 skill gap; venue advantage overcomes form disadvantage.
Key Factors
- SG total: +0.456 (Thorbjornsen advantage)
- Course fit: +0.455 (Thorbjornsen excellent at TPC Craig Ranch)
- Skill gap: -0.061 to Koepka (Koepka slightly better on form)
- EF: 69.9 vs Koepka ~72 (tight but Thorbjornsen positioned better)
- Edge: +13.7% at +105 Pinnacle — value on underdog
Risk Factors
- Koepka brand-name player; public may overvalue
- Skill parity; close match overall
- Both mid-field finishers (EF ~70); moderate variance
VALUE PLAYCOURSE FIT
Edge Analysis
Moneyline
Thorbjornsen, Michael 55.5%
+13.8 pts
Spread
-0.1
+13.8 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 →