PGA Tour Golf

Li, Haotong vs Olesen, Thorbjorn Prediction

July 1, 2026

10,000 Monte Carlo simulations

Li, Haotong vs Olesen, Thorbjorn prediction for July 1, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects Olesen, Thorbjorn 86 - Li, Haotong 89. Li, Haotong is favored with a 57.0% win probability. The spread is -0.21.

Olesen, Thorbjorn
+0.25
Strokes Gained / Round
VS H2H • John Deere Classic
Li, Haotong
+0.05
Strokes Gained / Round
Head-to-Head Win Probability
43.0%
57.0%
Olesen, ThorbjornLi, Haotong
-105
Best Odds
+11.3%
Edge
1.0u HIGH
Sizing

Projected Points Range 10th – 90th percentile

Li, Haotong
828996
Olesen, Thorbjorn
798693

Tournament Context

Event
John Deere Classic
Course
TPC Deere Run
Field
144 players
Wind
14 mph
Temp
92°F
Conditions
harder (+0.8)

Player Profile — Li, Haotong

Strokes Gained
+0.05/round
Tour Avg
Course Fit
neutral
+0.083 SG adj
Expected Finish
89th / 144

Matchup Analysis

Li, Haotong
+0.05 SG
EF 89th
Skill Gap
-0.21 SG/round
tight edge for Olesen, Thorbjorn
Olesen, Thorbjorn
+0.25 SG
EF 86th · Tour Avg

Edge Breakdown

Our Model
57.0%
Books Say
51.2%
Edge
+11.3%

Li, Haotong vs Olesen, Thorbjorn: Model gives Li, Haotong 57.0% win probability vs 51.2% implied (+11.3% edge). Skill advantage: -0.21 SG/round. Expected finish: 89.

Edge Analysis

Moneyline
Li, Haotong 57.0%
+11.3 pts
Spread
-0.2
+11.3 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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