PGA Tour Golf

Cantlay, Patrick vs Matsuyama, Hideki Prediction

June 16, 2026

10,000 Monte Carlo simulations

Cantlay, Patrick vs Matsuyama, Hideki prediction for June 16, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects Matsuyama, Hideki 41 - Cantlay, Patrick 69. Cantlay, Patrick is favored with a 63.2% win probability. The spread is 0.52.

Matsuyama, Hideki
+0.90
Strokes Gained / Round
VS H2H • U.S. Open
Cantlay, Patrick
+1.58
Strokes Gained / Round
Head-to-Head Win Probability
36.8%
63.2%
Matsuyama, HidekiCantlay, Patrick
-138
Best Odds
+9.1%
Edge
1.5u MEDIUM
Sizing
FINALMatsuyama, Hideki (T53) def Cantlay, Patrick (T85)

Projected Points Range 10th – 90th percentile

Cantlay, Patrick
626976
Matsuyama, Hideki
344148

Tournament Context

Event
U.S. Open
Course
Shinnecock Hills Golf Club
Field
156 players

Player Profile — Cantlay, Patrick

Strokes Gained
+1.58/round
World Class
Course Fit
neutral
+0.070 SG adj
Expected Finish
69th / 156

Matchup Analysis

Cantlay, Patrick
+1.58 SG
EF 69th
Skill Gap
+0.52 SG/round
meaningful edge for Cantlay, Patrick
Matsuyama, Hideki
+0.90 SG
EF 41th · Above Avg

Edge Breakdown

Our Model
63.2%
Books Say
58.0%
Edge
+9.1%

Cantlay, Patrick vs Matsuyama, Hideki: Model gives Cantlay, Patrick 63.2% win probability vs 58.0% implied (+9.1% edge). Skill advantage: +0.52 SG/round. Expected finish: 69.

AI Intelligence Analysis

STRONG BET +1
Cantlay's robust +0.521 SG skill advantage is substantial enough to generate +7.9% edge despite both players having modest course fit; expected finish gap (69 vs 83) confirms skill edge.

Key Factors

  • Strong skill differential: +0.521 SG/round (excellent advantage)
  • Course fit: Both modest (Cantlay +0.07, Matsuyama +0.138); Matsuyama slight edge but not meaningful
  • Expected finish gap: 13.9 strokes (69 vs 83) indicates major skill advantage
  • 7.9% edge is moderate confidence but backed by significant skill difference

Risk Factors

  • Both players have modest course fit; neither is specialized for Shinnecock
  • Expected finish gap (69 vs 83) wide—higher variance in outcomes than elite pairings
  • Cantlay -0.52 SG match winner in field perspective; single-event H2H always contains noise
Sharp MoneyWith ModelOdds at -140 reflect Cantlay's expected advantage. Model edge aligns with market view.
MEDIUM CONFIDENCESTRONG SKILL GAPEXPECTED FINISH GAP SUPPORTS

Edge Analysis

Moneyline
Cantlay, Patrick 63.2%
+9.1 pts
Spread
+0.5
+9.1 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 →

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