PGA Tour Golf

DeChambeau, Bryson vs Koepka, Brooks Prediction

June 16, 2026

10,000 Monte Carlo simulations

DeChambeau, Bryson vs Koepka, Brooks prediction for June 16, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects Koepka, Brooks 0 - DeChambeau, Bryson 74. DeChambeau, Bryson is favored with a 59.5% win probability. The spread is 0.59.

Koepka, Brooks
+0.00
Strokes Gained / Round
VS H2H • U.S. Open
DeChambeau, Bryson
+1.27
Strokes Gained / Round
Head-to-Head Win Probability
40.5%
59.5%
Koepka, BrooksDeChambeau, Bryson
-125
Best Odds
+7.2%
Edge
1.0u MEDIUM
Sizing
FINALDeChambeau, Bryson (T20) def Koepka, Brooks (T85)

Tournament Context

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

Player Profile — DeChambeau, Bryson

Strokes Gained
+1.27/round
Tour Elite
Course Fit
good
+0.223 SG adj
Expected Finish
74th / 156

Matchup Analysis

DeChambeau, Bryson
+1.27 SG
EF 74th
Skill Gap
+0.59 SG/round
meaningful edge for DeChambeau, Bryson
Koepka, Brooks
+0.00 SG
EF 0th · Tour Avg

Edge Breakdown

Our Model
59.5%
Books Say
55.6%
Edge
+7.2%

DeChambeau, Bryson vs Koepka, Brooks: Model gives DeChambeau, Bryson 59.5% win probability vs 55.6% implied (+7.2% edge). Skill advantage: +0.59 SG/round. Expected finish: 74.

AI Intelligence Analysis

LEAN +0
DeChambeau's strong +0.594 SG advantage is substantially mitigated by Koepka's exceptional +0.627 course fit; narrow +5.9% edge barely supports play despite skill advantage.

Key Factors

  • Skill differential: +0.594 SG/round (strong advantage for DeChambeau)
  • Course fit reversal: Koepka +0.627 vs DeChambeau +0.223 (0.404-point Shinnecock fit advantage to Koepka)
  • Expected finish: DeChambeau 75 vs Koepka 81 (6-stroke gap; modest given skill advantage)
  • 5.9% edge modest given Koepka's elite fit for venue

Risk Factors

  • Koepka's +0.627 course fit is EXCEPTIONAL—among best in field for Shinnecock (only behind Schauffele +0.546, Fitzpatrick +0.405)
  • DeChambeau's skill advantage diminishes in major-championship environment where fit becomes deterministic
  • Marginal 5.9% edge creates poor risk/reward; Koepka's fit could deliver upset
COURSE FIT NEGATES SKILLKOEPKA ELITE FITMARGINAL EDGE

Edge Analysis

Moneyline
DeChambeau, Bryson 59.5%
+7.2 pts
Spread
+0.6
+7.2 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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