Griffin, Ben vs Thomas, Justin prediction for May 27, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects Thomas, Justin 41 - Griffin, Ben 43. Griffin, Ben is favored with a 60.0% win probability. The spread is 0.05.
Thomas, Justin
+1.06
Strokes Gained / Round
VS
H2H • Charles Schwab Challenge
Griffin, Ben
+1.13
Strokes Gained / Round
Head-to-Head Win Probability
Thomas, JustinGriffin, Ben
-105
Best Odds
+17.1%
Edge
1.5u ELITE
Sizing
Projected Points Range 10th – 90th percentile
Griffin, Ben
364350
Thomas, Justin
344148
Tournament Context
Event
Charles Schwab Challenge
Course
Colonial CC
Field
132 players
Wind
10 mph
Temp
86°F
Conditions
harder (+0.4)
Player Profile — Griffin, Ben
Strokes Gained
+1.13/round
Tour Elite
Course Fit
excellent
+0.574 SG adj
Expected Finish
43th / 132
Matchup Analysis
Griffin, Ben
+1.13 SG
EF 43th
Skill Gap
+0.05 SG/round
essentially a coin flip
Thomas, Justin
+1.06 SG
EF 41th · Tour Elite
Edge Breakdown
Our Model
60.0%
Books Say
51.2%
Edge
+17.1%
Griffin, Ben vs Thomas, Justin: Model gives Griffin, Ben 60.0% win probability vs 51.2% implied (+17.1% edge). Expected finish: 43.
AI Intelligence Analysis
STRONG BET +1
Griffin's elite SG total (1.134, 4th-best field) + strong course fit (0.574) create a 17.4% edge that is SKILL-driven with positive fit overlay; expected finish (43) indicates win-contention profile.
Key Factors
- Griffin SG: +1.134 (elite baseline vs Thomas +1.06)
- Course fit delta: +0.508 SG (Griffin strong, Thomas neutral)
- Model: 60.1% vs 51.2% implied (+17.4% edge)
- Expected finish: Griffin 43 (pre-contention), vs Thomas 57
- Odds: −105 (Bovada) fair
Risk Factors
- Thomas is tournament +2350 favorite; carries ultimate variance upside
- Griffin's fit (0.574) is positive but not dominant like Coody
- Elite-field tournament variance never eliminates
ELITE CONFIDENCESKILL FIT COMBOWIN CONTENTION
Edge Analysis
Moneyline
Griffin, Ben 60.0%
+17.1 pts
Spread
+0.1
+17.1 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 →