Grillo, Emiliano vs Power, Seamus prediction for May 27, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects Power, Seamus 0 - Grillo, Emiliano 82. Grillo, Emiliano is favored with a 60.4% win probability. The spread is -0.35.
Power, Seamus
+0.00
Strokes Gained / Round
VS
H2H • Charles Schwab Challenge
Grillo, Emiliano
-0.24
Strokes Gained / Round
Head-to-Head Win Probability
Power, SeamusGrillo, Emiliano
-116
Best Odds
+12.5%
Edge
1.5u HIGH
Sizing
Tournament Context
Event
Charles Schwab Challenge
Course
Colonial CC
Field
132 players
Wind
10 mph
Temp
86°F
Conditions
harder (+0.4)
Player Profile — Grillo, Emiliano
Strokes Gained
-0.24/round
Below Avg
Course Fit
excellent
+0.407 SG adj
Expected Finish
82th / 132
Matchup Analysis
Grillo, Emiliano
-0.24 SG
EF 82th
Skill Gap
-0.35 SG/round
tight edge for Power, Seamus
Power, Seamus
+0.00 SG
EF 0th · Tour Avg
Edge Breakdown
Our Model
60.4%
Books Say
53.7%
Edge
+12.5%
Grillo, Emiliano vs Power, Seamus: Model gives Grillo, Emiliano 60.4% win probability vs 53.7% implied (+12.5% edge). Skill advantage: -0.35 SG/round. Expected finish: 82.
AI Intelligence Analysis
LEAN +0
Grillo's minimal SG (−0.237, below-field) + negative course fit offset by skill advantage (−0.352 vs Power, confusing) yield a 11.9% edge that is murky without clear thesis.
Key Factors
- Model: 60.1% vs 53.7% implied (+11.9% edge)
- Grillo SG: −0.237 (negative baseline)
- Skill advantage: −0.352 (???—suggests Grillo is weaker, not stronger)
- Expected finish: Grillo 83 (mid-field, moderate variance)
Risk Factors
- Grillo's SG is negative (−0.237); poor baseline player
- Skill advantage notation (−0.352) is contradictory; likely data error or confusing labeling
- Course fit (+0.407) is only supporting pillar, but marginal
UNCLEAR THESIS
Edge Analysis
Moneyline
Grillo, Emiliano 60.4%
+12.5 pts
Spread
-0.3
+12.5 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 →