Reed, Patrick vs Rose, Justin prediction for June 16, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects Rose, Justin 35 - Reed, Patrick 77. Reed, Patrick is favored with a 60.1% win probability. The spread is -0.01.
Rose, Justin
+1.20
Strokes Gained / Round
VS
H2H • U.S. Open
Reed, Patrick
+1.10
Strokes Gained / Round
Head-to-Head Win Probability
Rose, JustinReed, Patrick
-125
Best Odds
+11.1%
Edge
1.0u HIGH
Sizing
Projected Points Range 10th – 90th percentile
Reed, Patrick
707784
Rose, Justin
283542
Tournament Context
Event
U.S. Open
Course
Shinnecock Hills Golf Club
Field
156 players
Player Profile — Reed, Patrick
Strokes Gained
+1.10/round
Tour Elite
Course Fit
excellent
+0.354 SG adj
Expected Finish
77th / 156
Matchup Analysis
Reed, Patrick
+1.10 SG
EF 77th
Skill Gap
-0.01 SG/round
essentially a coin flip
Rose, Justin
+1.20 SG
EF 35th · Tour Elite
Edge Breakdown
Our Model
60.1%
Books Say
55.6%
Edge
+11.1%
Reed, Patrick vs Rose, Justin: Model gives Reed, Patrick 60.1% win probability vs 55.6% implied (+8.1% edge). Expected finish: 77. AI: strong recent form; course specialist.
AI Intelligence Analysis
LEAN +0
Edge is PURELY course-fit driven (+0.354 Reed fit vs +0.104 Rose fit); zero skill advantage (-0.007 SG/round) means edge exists only through venue specialization, creating narrow margin.
Key Factors
- Course fit differential: Reed +0.354 vs Rose +0.104 (0.25-point fit advantage)
- Skill differential: -0.007 SG/round (Reed SLIGHTLY WORSE on raw skill)
- Expected finish: Reed 76 vs Rose 83 (purely fit-driven 7-stroke gap)
- 11.6% edge is purely valuation of Reed's Shinnecock specialization
Risk Factors
- Reed has negative skill advantage on raw SG; major-championship volatility could favor Rose's fundamentals
- Single-event matchup variance high when edge relies solely on course fit—fit advantage doesn't guarantee win
- Rose is stronger all-around player; Shinnecock fit is Reed's only edge
COURSE FIT ONLY EDGENEGATIVE SKILL DIFFERENTIALVENUE SPECIALIST PLAY
Edge Analysis
Moneyline
Reed, Patrick 60.1%
+11.1 pts
Spread
-0.0
+11.1 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 →