Griffin, Ben vs Thomas, Justin prediction for May 26, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects Thomas, Justin 31 - Griffin, Ben 44. Griffin, Ben is favored with a 59.4% win probability. The spread is 0.04.
Thomas, Justin
+1.18
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
+15.9%
Edge
1.5u ELITE
Sizing
Projected Points Range 10th – 90th percentile
Griffin, Ben
374451
Thomas, Justin
243138
Tournament Context
Event
Charles Schwab Challenge
Course
Colonial CC
Field
132 players
Wind
8 mph
Temp
85°F
Conditions
harder (+0.3)
Player Profile — Griffin, Ben
Strokes Gained
+1.13/round
Tour Elite
Course Fit
excellent
+0.574 SG adj
Expected Finish
44th / 132
Matchup Analysis
Griffin, Ben
+1.13 SG
EF 44th
Skill Gap
+0.04 SG/round
essentially a coin flip
Thomas, Justin
+1.18 SG
EF 31th · Tour Elite
Edge Breakdown
Our Model
59.4%
Books Say
51.2%
Edge
+15.9%
Griffin, Ben vs Thomas, Justin: Model gives Griffin, Ben 59.4% win probability vs 51.2% implied (+15.9% edge). Expected finish: 44.
AI Intelligence Analysis
STRONG BET +2
Griffin's +0.574 course fit vs Thomas's +0.067 fit provides decisive Colonial advantage despite Thomas's slight SG edge; 14-position expected finish gap (43.9 vs 57.1) validates 59.2% model probability vs 51.2% market.
Key Factors
- Course fit advantage: +0.507 SG (Griffin +0.574 vs Thomas +0.067) — strong Colonial fit edge
- Expected finish differential: 13 positions (Griffin 43.9 vs Thomas 57.1) — large gap confirms model
- SG edge neutrality: Thomas +0.046 SG advantage nearly nullified by fit
- Bovada -105 odds = 51.2% implied probability, leaving +8% edge to model
Risk Factors
- Thomas is elite skill player (+1.06 SG) — if course fit impact overstated, edge disappears
- Thomas favored in market implies sharp money may see deeper value (monitor if line moves)
ELITE EDGECOURSE FIT DRIVENLARGE EF GAPLINE VALUE
Edge Analysis
Moneyline
Griffin, Ben 59.4%
+15.9 pts
Spread
+0.0
+15.9 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. Probabilities are calibrated using Bayesian methods and sized via the Kelly Criterion. Full methodology →