Spaun, J.J. vs Matsuyama, Hideki prediction for May 26, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects Matsuyama, Hideki 33 - Spaun, J.J. 54. Spaun, J.J. is favored with a 58.1% win probability. The spread is 0.14.
Matsuyama, Hideki
+1.20
Strokes Gained / Round
VS
H2H • Charles Schwab Challenge
Spaun, J.J.
+1.24
Strokes Gained / Round
Head-to-Head Win Probability
Matsuyama, HidekiSpaun, J.J.
-115
Best Odds
+5.6%
Edge
1.0u MEDIUM
Sizing
Projected Points Range 10th – 90th percentile
Spaun, J.J.
475461
Matsuyama, Hideki
263340
Tournament Context
Event
Charles Schwab Challenge
Course
Colonial CC
Field
132 players
Wind
8 mph
Temp
85°F
Conditions
harder (+0.3)
Player Profile — Spaun, J.J.
Strokes Gained
+1.24/round
Tour Elite
Course Fit
neutral
+0.014 SG adj
Expected Finish
54th / 132
Matchup Analysis
Spaun, J.J.
+1.24 SG
EF 54th
Skill Gap
+0.14 SG/round
tight edge for Spaun, J.J.
Matsuyama, Hideki
+1.20 SG
EF 33th · Tour Elite
Edge Breakdown
Our Model
58.1%
Books Say
53.5%
Edge
+5.6%
Spaun, J.J. vs Matsuyama, Hideki: Model gives Spaun, J.J. 58.1% win probability vs 53.5% implied (+8.6% edge). Skill advantage: +0.14 SG/round. Expected finish: 54. AI: poor recent form; poor course history.
AI Intelligence Analysis
LEAN +0
Spaun's skill advantage (+0.143 SG) and 9-position EF gap (53.9 vs 62.9) drive 58.3% model vs 53.5% market (+8.9% relative edge), but Spaun's near-zero course fit (+0.014) and flagged poor recent form create execution risk; recommend LEAN with caution.
Key Factors
- SG advantage: Spaun +1.238 vs Matsuyama +1.10 = +0.138 SG/round
- Expected finish: Spaun 53.9 vs Matsuyama 62.9 = 9-position gap
- Course fit: Spaun +0.014 (essentially NEUTRAL, not an advantage)
- Bovada -115 = 53.5% market, model 58.3% = +4.8% absolute edge
Risk Factors
- CRITICAL: Sim notes 'poor recent form; poor course history' on Spaun — this contradicts model edge
- Course fit is neutral (+0.014); edge is entirely skill-dependent
- If Spaun's form is truly poor, model may be overweighting historical SG data
FORM CONCERNNEUTRAL COURSE FITSKILL DEPENDENT
Edge Analysis
Moneyline
Spaun, J.J. 58.1%
+5.6 pts
Spread
+0.1
+5.6 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. Probabilities are calibrated using Bayesian methods and sized via the Kelly Criterion. Full methodology →