Hall, Harry vs Smalley, Alex prediction for May 27, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects Smalley, Alex 36 - Hall, Harry 68. Hall, Harry is favored with a 60.3% win probability. The spread is -0.21.
Smalley, Alex
+1.15
Strokes Gained / Round
VS
H2H • Charles Schwab Challenge
Hall, Harry
+0.95
Strokes Gained / Round
Head-to-Head Win Probability
Smalley, AlexHall, Harry
+100
Best Odds
+20.6%
Edge
1.5u HIGH
Sizing
Projected Points Range 10th – 90th percentile
Hall, Harry
616875
Smalley, Alex
293643
Tournament Context
Event
Charles Schwab Challenge
Course
Colonial CC
Field
132 players
Wind
10 mph
Temp
86°F
Conditions
harder (+0.4)
Player Profile — Hall, Harry
Strokes Gained
+0.95/round
Above Avg
Course Fit
poor
-0.216 SG adj
Expected Finish
68th / 132
Matchup Analysis
Hall, Harry
+0.95 SG
EF 68th
Skill Gap
-0.21 SG/round
tight edge for Smalley, Alex
Smalley, Alex
+1.15 SG
EF 36th · Tour Elite
Edge Breakdown
Our Model
60.3%
Books Say
50.0%
Edge
+20.6%
Hall, Harry vs Smalley, Alex: Model gives Hall, Harry 60.3% win probability vs 50.0% implied (+20.6% edge). Skill advantage: -0.21 SG/round. Expected finish: 68.
AI Intelligence Analysis
STRONG BET +1
Hall's moderately positive course fit (−0.216 is less negative than Smalley's and his overall SG of 0.947 is solid) overcomes lack of skill edge in a 19.9% edge; Colonial's accuracy-premium setup favors consistency players.
Key Factors
- Hall course fit: −0.216 (vs Smalley neutral), but Hall's overall SG (0.947) carries weight
- Model: 59.9% vs 50.0% implied (+19.9% edge)
- Expected finish: Hall 68 vs Smalley unknown (depth-limited data)
- Odds: 100 (even money, Unibet) is fair but unprestigious
Risk Factors
- Hall's course fit is negative (−0.216), undercutting narrative
- Smalley is unknown (limited field data on depth player)
- Even money odds compress edge mathematical value
SOLID EDGECONSISTENCY ARCHETYPE
Edge Analysis
Moneyline
Hall, Harry 60.3%
+20.6 pts
Spread
-0.2
+20.6 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 →