PGA Tour Golf

Poston, J.T. vs Taylor, Nick Prediction

June 18, 2026

10,000 Monte Carlo simulations

Poston, J.T. vs Taylor, Nick prediction for June 18, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects Taylor, Nick 43 - Poston, J.T. 93. Poston, J.T. is favored with a 62.7% win probability. The spread is 0.14.

Taylor, Nick
+0.73
Strokes Gained / Round
VS H2H • U.S. Open
Poston, J.T.
+0.91
Strokes Gained / Round
Head-to-Head Win Probability
37.3%
62.7%
Taylor, NickPoston, J.T.
-119
Best Odds
+15.5%
Edge
1.5u ELITE
Sizing
FINALPoston, J.T. (T53) def Taylor, Nick (T101)

Projected Points Range 10th – 90th percentile

Poston, J.T.
8693100
Taylor, Nick
364350

Tournament Context

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

Player Profile — Poston, J.T.

Strokes Gained
+0.91/round
Above Avg
Course Fit
poor
-0.015 SG adj
Expected Finish
93th / 156

Matchup Analysis

Poston, J.T.
+0.91 SG
EF 93th
Skill Gap
+0.14 SG/round
tight edge for Poston, J.T.
Taylor, Nick
+0.73 SG
EF 43th · Above Avg

Edge Breakdown

Our Model
62.7%
Books Say
54.3%
Edge
+15.5%

Poston, J.T. vs Taylor, Nick: Model gives Poston, J.T. 62.7% win probability vs 54.3% implied (+15.5% edge). Skill advantage: +0.15 SG/round. Expected finish: 93.

Edge Analysis

Moneyline
Poston, J.T. 62.7%
+15.5 pts
Spread
+0.1
+15.5 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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