Meissner, Mac vs Greyserman, Max prediction for May 27, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects Greyserman, Max 0 - Meissner, Mac 54. Meissner, Mac is favored with a 64.5% win probability. The spread is 0.09.
Greyserman, Max
+0.00
Strokes Gained / Round
VS
H2H • Charles Schwab Challenge
Meissner, Mac
+0.65
Strokes Gained / Round
Head-to-Head Win Probability
Greyserman, MaxMeissner, Mac
-122
Best Odds
+17.3%
Edge
1.5u ELITE
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 — Meissner, Mac
Strokes Gained
+0.65/round
Above Avg
Course Fit
excellent
+0.645 SG adj
Expected Finish
54th / 132
Matchup Analysis
Meissner, Mac
+0.65 SG
EF 54th
Skill Gap
+0.09 SG/round
essentially a coin flip
Greyserman, Max
+0.00 SG
EF 0th · Tour Avg
Edge Breakdown
Our Model
64.5%
Books Say
54.9%
Edge
+17.3%
Meissner, Mac vs Greyserman, Max: Model gives Meissner, Mac 64.5% win probability vs 55.0% implied (+17.3% edge). Expected finish: 54.
AI Intelligence Analysis
STRONG BET +1
Meissner's elite course fit (+0.645, 2nd-best on field) + positive skill (0.086 SG) create a 16.8% edge with strong Colonial-specific advantage; expected finish (53) indicates quality player.
Key Factors
- Course fit: +0.645 SG (2nd-best fit advantage on slate)
- Model: 64.2% vs 55.0% implied (+16.8% edge)
- Expected finish: Meissner 53 (quality tier)
- Odds: −122 (Pinnacle) is sharp-money venue, tight but reflects value
Risk Factors
- Tight odds (−122) compress unit value
- Skill edge (0.086) is marginal; fit is the driver
- Greyserman unknown (depth player)
ELITE COURSE FITSHARP LISTEDCONSISTENT ADVANTAGE
Edge Analysis
Moneyline
Meissner, Mac 64.5%
+17.3 pts
Spread
+0.1
+17.3 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 →