PGA Tour Golf

Spaun, J.J. vs Kim, Si Woo Prediction

June 17, 2026

10,000 Monte Carlo simulations

Spaun, J.J. vs Kim, Si Woo prediction for June 17, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects Kim, Si Woo 26 - Spaun, J.J. 72. Kim, Si Woo is favored with a 50.6% win probability. The spread is -0.23.

Kim, Si Woo
+1.58
Strokes Gained / Round
VS H2H • U.S. Open
Spaun, J.J.
+1.47
Strokes Gained / Round
Head-to-Head Win Probability
50.6%
49.4%
Kim, Si WooSpaun, J.J.
+115
Best Odds
+6.2%
Edge
1.0u MEDIUM
Sizing
FINALSpaun, J.J. (T14) def Kim, Si Woo (T46)

Projected Points Range 10th – 90th percentile

Spaun, J.J.
657279
Kim, Si Woo
192633

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
72th / 156

Matchup Analysis

Spaun, J.J.
+1.47 SG
EF 72th
Skill Gap
-0.23 SG/round
tight edge for Kim, Si Woo
Kim, Si Woo
+1.58 SG
EF 26th · World Class

Edge Breakdown

Our Model
49.4%
Books Say
46.5%
Edge
+6.2%

Spaun, J.J. vs Kim, Si Woo: Model gives Spaun, J.J. 49.4% win probability vs 46.5% implied (+6.2% edge). Skill advantage: -0.22 SG/round. Expected finish: 72.

Edge Analysis

Moneyline
Kim, Si Woo 50.6%
+6.2 pts
Spread
-0.2
+6.2 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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