Hughes, Mackenzie vs Finau, Tony prediction for May 21, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects Finau, Tony 68 - Hughes, Mackenzie 93. Hughes, Mackenzie is favored with a 58.8% win probability. The spread is 0.05.
Finau, Tony
+0.24
Strokes Gained / Round
VS
H2H • THE CJ CUP Byron Nelson
Hughes, Mackenzie
+0.07
Strokes Gained / Round
Head-to-Head Win Probability
Finau, TonyHughes, Mackenzie
-104
Best Odds
+15.3%
Edge
1.5u HIGH
Sizing
Projected Points Range 10th – 90th percentile
Hughes, Mackenzie
8693100
Finau, Tony
616875
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 — Hughes, Mackenzie
Strokes Gained
+0.07/round
Tour Avg
Course Fit
neutral
+0.010 SG adj
Expected Finish
93th / 147
Matchup Analysis
Hughes, Mackenzie
+0.07 SG
EF 93th
Skill Gap
+0.05 SG/round
essentially a coin flip
Finau, Tony
+0.24 SG
EF 68th · Tour Avg
Edge Breakdown
Our Model
58.8%
Books Say
51.0%
Edge
+15.3%
Hughes, Mackenzie vs Finau, Tony: Model gives Hughes, Mackenzie 58.8% win probability vs 51.0% implied (+15.3% edge). Expected finish: 93.
AI Intelligence Analysis
STRONG BET +1GREEN ZONE0.6% WR (n=380)
Hughes' +0.051 skill advantage and minimal course fit (+0.010) create solid +14.3% edge (58.26% vs 50.98%) in mid-field matchup; Finau slightly overvalued despite reputation.
Key Factors
- Skill advantage: +0.051 SG/round (Hughes better)
- Course fit: +0.010 (essentially neutral but slight nod to Hughes)
- EF: Hughes 92.6 vs Finau implied ~95+ (tight finish positions)
- Edge: +14.3% at -104 Pinnacle — solid value
- Mid-field match: moderate variance, but Hughes positioned better
Risk Factors
- Finau is top-50 player with good reputation; not a bad bet
- EF ~92+ means both tail players; high variance
- Skill gap +0.051 is modest; could flip either way
VALUE PLAYMID FIELD EDGE
Edge Analysis
Moneyline
Hughes, Mackenzie 58.8%
+15.3 pts
Spread
+0.1
+15.3 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 →