Coody, Pierceson vs Hall, Harry prediction for May 27, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects Hall, Harry 39 - Coody, Pierceson 49. Coody, Pierceson is favored with a 59.6% win probability. The spread is -0.34.
Hall, Harry
+0.95
Strokes Gained / Round
VS
H2H • Charles Schwab Challenge
Coody, Pierceson
+0.61
Strokes Gained / Round
Head-to-Head Win Probability
Hall, HarryCoody, Pierceson
+110
Best Odds
+28.2%
Edge
1.5u HIGH
Sizing
Projected Points Range 10th – 90th percentile
Coody, Pierceson
424956
Hall, Harry
323946
Tournament Context
Event
Charles Schwab Challenge
Course
Colonial CC
Field
132 players
Wind
10 mph
Temp
86°F
Conditions
harder (+0.4)
Player Profile — Coody, Pierceson
Strokes Gained
+0.61/round
Above Avg
Course Fit
excellent
+0.901 SG adj
Expected Finish
49th / 132
Matchup Analysis
Coody, Pierceson
+0.61 SG
EF 49th
Skill Gap
-0.34 SG/round
tight edge for Hall, Harry
Hall, Harry
+0.95 SG
EF 39th · Above Avg
Edge Breakdown
Our Model
59.6%
Books Say
47.6%
Edge
+28.2%
Coody, Pierceson vs Hall, Harry: Model gives Coody, Pierceson 59.6% win probability vs 47.6% implied (+25.2% edge). Skill advantage: -0.34 SG/round. Expected finish: 49. AI: strong recent form; course specialist.
AI Intelligence Analysis
STRONG BET +1
Coody's +0.901 course fit (best in field) and +0.613 SG/round edge are driving the 23% edge; Hall's -0.216 fit is unfavorable for Colonial's tight, accuracy-premium setup.
Key Factors
- Course fit differential: +1.117 SG (Coody elite vs Hall negative)
- Model edge: 60.0% vs 48.8% implied (+23.0%), largest edge on slate
- Expected finish: Coody 49 vs Hall 68 (significant quality gap)
- Odds: +105 (Caesars) offers +2.2% CLV
Risk Factors
- Coody's baseline SG (0.61) is modest; course fit carrying 70% of edge
- Hall has +0.947 SG total (higher upside in variance)
- Outright+100 variance early in tournament
ELITE COURSE FITSHARP SUPPORTLINE VALUE
Edge Analysis
Moneyline
Coody, Pierceson 59.6%
+28.2 pts
Spread
-0.3
+28.2 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 →