Coody, Pierceson vs Hisatsune, Ryo prediction for May 21, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects Hisatsune, Ryo 58 - Coody, Pierceson 69. Coody, Pierceson is favored with a 55.3% win probability. The spread is -0.06.
Hisatsune, Ryo
+0.66
Strokes Gained / Round
VS
H2H • THE CJ CUP Byron Nelson
Coody, Pierceson
+0.55
Strokes Gained / Round
Head-to-Head Win Probability
Hisatsune, RyoCoody, Pierceson
-105
Best Odds
+7.9%
Edge
1.0u MEDIUM
Sizing
Projected Points Range 10th – 90th percentile
Coody, Pierceson
626976
Hisatsune, Ryo
515865
Tournament Context
Event
THE CJ CUP Byron Nelson
Course
TPC Craig Ranch
Field
147 players
Wind
15 mph
Temp
82°F
Conditions
harder (+0.8)
Player Profile — Coody, Pierceson
Strokes Gained
+0.55/round
Above Avg
Course Fit
excellent
+0.332 SG adj
Expected Finish
69th / 147
Matchup Analysis
Coody, Pierceson
+0.55 SG
EF 69th
Skill Gap
-0.06 SG/round
essentially a coin flip
Hisatsune, Ryo
+0.66 SG
EF 58th · Above Avg
Edge Breakdown
Our Model
55.3%
Books Say
51.2%
Edge
+7.9%
Coody, Pierceson vs Hisatsune, Ryo: Model gives Coody, Pierceson 55.3% win probability vs 51.2% implied (+7.9% edge). Expected finish: 69.
AI Intelligence Analysis
NEUTRAL +0RED ZONE0.5% WR (n=380)
Model 54.89% vs market 51.22% creates +7.2% edge, but -0.059 skill gap, mid-field EF (69.1 both), and -105 odds on modest edge make this secondary at best; skip for primary edges.
Key Factors
- Skill gap: -0.059 to Hisatsune (Hisatsune better)
- Course fit: +0.332 (Coody advantage)
- SG total: +0.55 (Coody advantage)
- EF: 69.1 both (parity)
- Edge: +7.2% at -105 BetMGM (modest, negative odds)
Risk Factors
- Hisatsune -0.059 skill advantage contradicts finish matrix
- EF parity (69.1 both) suggests coin-flip
- Negative odds (-105) unfavorable
CONFLICTING SIGNALSEF PARITYMODEST EDGE
Edge Analysis
Moneyline
Coody, Pierceson 55.3%
+7.9 pts
Spread
-0.1
+7.9 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 →