Vilips, Karl vs Ryder, Sam prediction for May 20, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects Ryder, Sam 91 - Vilips, Karl 95. Vilips, Karl is favored with a 61.3% win probability. The spread is -0.08.
Ryder, Sam
+0.10
Strokes Gained / Round
VS
H2H • THE CJ CUP Byron Nelson
Vilips, Karl
-0.07
Strokes Gained / Round
Head-to-Head Win Probability
Ryder, SamVilips, Karl
-113
Best Odds
+15.5%
Edge
1.5u HIGH
Sizing
Projected Points Range 10th – 90th percentile
Vilips, Karl
8895102
Ryder, Sam
849198
Tournament Context
Event
THE CJ CUP Byron Nelson
Course
TPC Craig Ranch
Field
147 players
Wind
15 mph
Temp
81°F
Conditions
harder (+0.8)
Player Profile — Vilips, Karl
Strokes Gained
-0.07/round
Below Avg
Course Fit
neutral
+0.025 SG adj
Expected Finish
95th / 147
Matchup Analysis
Vilips, Karl
-0.07 SG
EF 95th
Skill Gap
-0.08 SG/round
essentially a coin flip
Ryder, Sam
+0.10 SG
EF 91th · Tour Avg
Edge Breakdown
Our Model
61.3%
Books Say
53.0%
Edge
+15.5%
Vilips, Karl vs Ryder, Sam: Model gives Vilips, Karl 61.3% win probability vs 53.1% implied (+15.5% edge). Expected finish: 95.
AI Intelligence Analysis
LEAN +0RED ZONE0.5% WR (n=380)
Vilips has negative SG Total (-0.069) but modest course fit (+0.025 SG) helps; Ryder is a back-field player. 14.4% edge on -115 is driven primarily by course fit in a low-variance matchup. Marginal play.
Key Factors
- SG Total: Vilips -0.069 (negative, below-field average)
- Course fit: Vilips +0.025 SG (minimal advantage)
- Expected finish: Vilips 95 vs Ryder 95+ (essentially identical)
- Odds: -115 (implied 53.5% vs model 61.2% = +7.7% edge)
- Skill differential: -0.083 (Vilips is slightly worse)
Risk Factors
- CRITICAL: Vilips has negative baseline SG (-0.069). This is a below-field-average player.
- Expected finishes are tied at ~95; this is a noise play
- Course fit advantage is tiny (+0.025), barely meaningful
NEGATIVE BASE SGMARGINAL COURSE FITBACK OF FIELDRED FLAG
Edge Analysis
Moneyline
Vilips, Karl 61.3%
+15.5 pts
Spread
-0.1
+15.5 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 →