Homa, Max vs Putnam, Andrew prediction for May 5, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects Putnam, Andrew 43 - Homa, Max 24. Homa, Max is favored with a 69.2% win probability. The spread is -0.11.
Putnam, Andrew
+0.56
Strokes Gained / Round
VS
H2H • Truist Championship
Homa, Max
+0.45
Strokes Gained / Round
Head-to-Head Win Probability
Putnam, AndrewHoma, Max
-132
Best Odds
+21.6%
Edge
2.0u ELITE
Sizing
Projected Points Range 10th – 90th percentile
Homa, Max
172431
Putnam, Andrew
364350
Tournament Context
Event
Truist Championship
Course
Quail Hollow Club
Field
72 players
Wind
12 mph
Temp
76°F
Conditions
harder (+0.6)
Player Profile — Homa, Max
Strokes Gained
+0.45/round
Tour Avg
Course Fit
excellent
+1.403 SG adj
Expected Finish
24th / 72
Matchup Analysis
Homa, Max
+0.45 SG
EF 24th
Skill Gap
-0.11 SG/round
tight edge for Putnam, Andrew
Putnam, Andrew
+0.56 SG
EF 43th · Above Avg
Edge Breakdown
Our Model
69.2%
Books Say
56.9%
Edge
+21.6%
Homa, Max vs Putnam, Andrew: Model gives Homa, Max 69.2% win probability vs 56.9% implied (+21.6% edge). Skill advantage: -0.11 SG/round. Expected finish: 24.
AI Intelligence Analysis
STRONG BET +1
Homa 68.9% h2h vs 62.0% implied = +11.2% edge; Homa's exceptional +1.40 course fit (best for Homa matchups) + mild skill disadvantage (-0.107 SG) = VENUE-DRIVEN edge at Quail Hollow specialist.
Key Factors
- Homa course fit +1.403 SG (ELITE, best in tournament for this matchup)
- Homa skill -0.107 SG disadvantage (slight)
- Homa EF 24.3 (solid placement despite skill gap)
- BetOnline -163 (62.0% implied) vs 68.9% model = +11.2% edge
Risk Factors
- Homa skill disadvantage (-0.107 SG) indicates Putnam is stronger player overall
- Edge is pure course fit; vulnerable if venue conditions normalize or shift
- Putnam's profile unknown; could be significantly stronger than expected
Edge Analysis
Moneyline
Homa, Max 69.2%
+21.6 pts
Spread
-0.1
+21.6 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 →