Smith, Jordan vs Jaeger, Stephan prediction for May 20, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects Jaeger, Stephan 76 - Smith, Jordan 79. Smith, Jordan is favored with a 60.4% win probability. The spread is 0.11.
Jaeger, Stephan
+0.41
Strokes Gained / Round
VS
H2H • THE CJ CUP Byron Nelson
Smith, Jordan
+0.34
Strokes Gained / Round
Head-to-Head Win Probability
Jaeger, StephanSmith, Jordan
-118
Best Odds
+11.5%
Edge
1.5u HIGH
Sizing
Projected Points Range 10th – 90th percentile
Smith, Jordan
727986
Jaeger, Stephan
697683
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 — Smith, Jordan
Strokes Gained
+0.34/round
Tour Avg
Course Fit
good
+0.225 SG adj
Expected Finish
79th / 147
Matchup Analysis
Smith, Jordan
+0.34 SG
EF 79th
Skill Gap
+0.11 SG/round
tight edge for Smith, Jordan
Jaeger, Stephan
+0.41 SG
EF 76th · Tour Avg
Edge Breakdown
Our Model
60.4%
Books Say
54.1%
Edge
+11.5%
Smith, Jordan vs Jaeger, Stephan: Model gives Smith, Jordan 60.4% win probability vs 54.1% implied (+11.5% edge). Skill advantage: +0.11 SG/round. Expected finish: 79.
AI Intelligence Analysis
LEAN +0YELLOW ZONE0.6% WR (n=380)
Smith has modest skill edge (+0.341 SG total) and course fit (+0.225 SG); Jaeger is mid-field. 11.8% edge on -118 is fairly priced but modest—compound this with tight expected finishes (78 vs 86) and you get a marginal play.
Key Factors
- SG Total: Smith +0.341 (decent skill advantage)
- Course fit: Smith +0.225 SG (moderate advantage)
- Expected finish: Smith 78 vs Jaeger 86 (8-place gap—meaningful separation)
- Odds: -118 (implied 54.1% vs model 60.5% = +6.4% edge)
- Skill differential: +0.114 (Smith is clearly better)
Risk Factors
- 11.8% edge is modest; at -118 odds, you need 54.3%+ true probability to break even
- Jaeger is a solid, respectable mid-field player—not a fade candidate
- 8-place EF gap is meaningful but not huge; variance can bridge it
MODERATE EDGEMODEST EF GAPFAIRLY PRICED
Edge Analysis
Moneyline
Smith, Jordan 60.4%
+11.5 pts
Spread
+0.1
+11.5 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 →