Spaun, J.J. vs Reed, Patrick prediction for June 16, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects Reed, Patrick 0 - Spaun, J.J. 73. Spaun, J.J. is favored with a 57.8% win probability. The spread is 0.38.
Reed, Patrick
+0.00
Strokes Gained / Round
VS
H2H • U.S. Open
Spaun, J.J.
+1.47
Strokes Gained / Round
Head-to-Head Win Probability
Reed, PatrickSpaun, J.J.
-111
Best Odds
+9.8%
Edge
1.0u MEDIUM
Sizing
Tournament Context
Event
U.S. Open
Course
Shinnecock Hills Golf Club
Field
156 players
Player Profile — Spaun, J.J.
Strokes Gained
+1.47/round
Tour Elite
Course Fit
neutral
+0.073 SG adj
Expected Finish
73th / 156
Matchup Analysis
Spaun, J.J.
+1.47 SG
EF 73th
Skill Gap
+0.38 SG/round
tight edge for Spaun, J.J.
Reed, Patrick
+0.00 SG
EF 0th · Tour Avg
Edge Breakdown
Our Model
57.8%
Books Say
52.6%
Edge
+9.8%
Spaun, J.J. vs Reed, Patrick: Model gives Spaun, J.J. 57.8% win probability vs 52.6% implied (+9.8% edge). Skill advantage: +0.38 SG/round. Expected finish: 73.
AI Intelligence Analysis
NEUTRAL -1
Model shows +6.8% edge for Spaun, but Reed's dominant +0.354 course fit vs Spaun's +0.073 fit nearly negates Spaun's +0.377 skill advantage; matchup is too balanced and volatile.
Key Factors
- Skill differential: +0.377 SG/round in Spaun's favor
- Course fit reversal: Reed +0.354 vs Spaun +0.073 (0.281-point Shinnecock advantage to Reed)
- Expected finish near-equal: Spaun 73 vs Reed 76 (only 3-stroke separation despite skill gap)
- Edge magnitude 6.8% modest, likely dominated by Shinnecock fit variability
Risk Factors
- Reed's exceptional fit (+0.354) in major championship (Shinnecock) likely overpowers Spaun's skill advantage in single-event
- Expected finish gap only 3 strokes despite +0.377 SG difference—suggests model uncertainty
- Marginal 6.8% edge not worth unit deployment against course-fit specialist
COURSE FIT NEGATES SKILLEXPECTED FINISH CONFLICTMARGINAL EDGE
Edge Analysis
Moneyline
Spaun, J.J. 57.8%
+9.8 pts
Spread
+0.4
+9.8 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 →