MacIntyre, Robert vs Lee, Min Woo prediction for May 13, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects Lee, Min Woo 73 - MacIntyre, Robert 63. MacIntyre, Robert is favored with a 54.5% win probability. The spread is 0.12.
Lee, Min Woo
+1.16
Strokes Gained / Round
VS
H2H • PGA Championship
MacIntyre, Robert
+1.29
Strokes Gained / Round
Head-to-Head Win Probability
Lee, Min WooMacIntyre, Robert
-105
Best Odds
+6.5%
Edge
1.0u MEDIUM
Sizing
Projected Points Range 10th – 90th percentile
MacIntyre, Robert
566370
Lee, Min Woo
667380
Tournament Context
Event
PGA Championship
Course
Aronimink Golf Club
Field
156 players
Player Profile — MacIntyre, Robert
Strokes Gained
+1.29/round
Tour Elite
Course Fit
excellent
+0.751 SG adj
Expected Finish
63th / 156
Matchup Analysis
MacIntyre, Robert
+1.29 SG
EF 63th
Skill Gap
+0.12 SG/round
tight edge for MacIntyre, Robert
Lee, Min Woo
+1.16 SG
EF 73th · Tour Elite
Edge Breakdown
Our Model
54.5%
Books Say
51.2%
Edge
+6.5%
MacIntyre, Robert vs Lee, Min Woo: Model gives MacIntyre, Robert 54.6% win probability vs 51.2% implied (+6.5% edge). Skill advantage: +0.12 SG/round. Expected finish: 63.
AI Intelligence Analysis
STRONG BET +1YELLOW ZONE0.5% WR (n=284)
MacIntyre's course fit advantage (+0.579 SG differential) combines with skill edge (+0.124 SG) to create +15.3% edge.
Key Factors
- Course fit gap: +0.579 SG (MacIntyre +1.405 vs Lee +0.826)
- Skill advantage: +0.124 SG/round (slight but positive)
- Finish position: MacIntyre EF 43.8 vs Lee EF 65.3 = 21-position gap
- Edge: +15.3% (59.1% model vs 51.2% implied) = value at -105
Risk Factors
- Modest edges require higher sample size to converge
- Both mid-field players; variance higher
- Lee can elevate in single events
LINE VALUECOURSE FIT SUPPORTEDMODERATE EDGE
Edge Analysis
Moneyline
MacIntyre, Robert 54.5%
+6.5 pts
Spread
+0.1
+6.5 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. Full methodology →