Eckroat, Austin vs Jaeger, Stephan prediction for May 21, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects Jaeger, Stephan 77 - Eckroat, Austin 85. Eckroat, Austin is favored with a 58.2% win probability. The spread is 0.04.
Jaeger, Stephan
+0.41
Strokes Gained / Round
VS
H2H • THE CJ CUP Byron Nelson
Eckroat, Austin
+0.26
Strokes Gained / Round
Head-to-Head Win Probability
Jaeger, StephanEckroat, Austin
-118
Best Odds
+7.5%
Edge
1.0u MEDIUM
Sizing
Projected Points Range 10th – 90th percentile
Eckroat, Austin
788592
Jaeger, Stephan
707784
Tournament Context
Event
THE CJ CUP Byron Nelson
Course
TPC Craig Ranch
Field
147 players
Wind
15 mph
Temp
82°F
Conditions
harder (+0.8)
Player Profile — Eckroat, Austin
Strokes Gained
+0.26/round
Tour Avg
Course Fit
neutral
+0.081 SG adj
Expected Finish
85th / 147
Matchup Analysis
Eckroat, Austin
+0.26 SG
EF 85th
Skill Gap
+0.04 SG/round
essentially a coin flip
Jaeger, Stephan
+0.41 SG
EF 77th · Tour Avg
Edge Breakdown
Our Model
58.2%
Books Say
54.1%
Edge
+7.5%
Eckroat, Austin vs Jaeger, Stephan: Model gives Eckroat, Austin 58.2% win probability vs 54.1% implied (+7.5% edge). Expected finish: 85.
AI Intelligence Analysis
LEAN +0YELLOW ZONE0.6% WR (n=380)
Eckroat's +0.081 course fit and +0.035 skill advantage create +7.5% edge (58.18% vs 54.13%), but modest differentiators and negative odds (-118) make this secondary play only.
Key Factors
- Course fit: +0.081 (Eckroat advantage)
- Skill advantage: +0.035 (Eckroat slight edge)
- SG total: +0.262 (Eckroat advantage)
- EF: 84.4 both (similar finish positions)
- Edge: +7.5% at -118 BetMGM (expensive odds)
Risk Factors
- Skill gap +0.035 is minimal
- EF parity (84.4 both) suggests coin-flip
- Steep odds (-118) reduce Kelly sizing
MODEST EDGEEF PARITY
Edge Analysis
Moneyline
Eckroat, Austin 58.2%
+7.5 pts
Spread
+0.0
+7.5 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 →