Cole, Eric vs Brown, Blades prediction for May 21, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects Brown, Blades 0 - Cole, Eric 63. Cole, Eric is favored with a 52.2% win probability. The spread is 0.38.
Brown, Blades
+0.00
Strokes Gained / Round
VS
H2H • THE CJ CUP Byron Nelson
Cole, Eric
+0.56
Strokes Gained / Round
Head-to-Head Win Probability
Brown, BladesCole, Eric
+102
Best Odds
+5.5%
Edge
1.0u MEDIUM
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 — Cole, Eric
Strokes Gained
+0.56/round
Above Avg
Course Fit
excellent
+0.598 SG adj
Expected Finish
63th / 147
Matchup Analysis
Cole, Eric
+0.56 SG
EF 63th
Skill Gap
+0.38 SG/round
tight edge for Cole, Eric
Brown, Blades
+0.00 SG
EF 0th · Tour Avg
Edge Breakdown
Our Model
52.2%
Books Say
49.5%
Edge
+5.5%
Cole, Eric vs Brown, Blades: Model gives Cole, Eric 52.2% win probability vs 49.5% implied (+5.5% edge). Skill advantage: +0.38 SG/round. Expected finish: 63.
AI Intelligence Analysis
LEAN +0GREEN ZONE0.5% WR (n=380)
Cole's +0.379 skill advantage and +0.598 elite course fit create +5.5% edge (52.25% vs 49.5%) against Brown; strong fit but -102 underdog odds and near-parity EF (61.8 vs 84.5 for Brown) create mixed signals.
Key Factors
- Skill advantage: +0.379 (Cole much better)
- Course fit: +0.598 (Cole elite advantage!)
- SG total: +0.555 (Cole massive advantage)
- EF: 61.8 vs Brown 84.5 (huge gap — Cole positioned MUCH better)
- Edge: +5.5% at +102 Betcris (underdog value, but modest edge)
Risk Factors
- Model only gives Cole 52.25% despite massive EF gap (61.8 vs 84.5) and +0.379 skill
- Underdog odds (+102) suggest Brown favored (unexpected given skill/fit/EF)
- Modest +5.5% edge contradicts the apparent quality gap
VALUE PLAYELITE COURSE FITEF GAP MISMATCH
Edge Analysis
Moneyline
Cole, Eric 52.2%
+5.5 pts
Spread
+0.4
+5.5 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 →