Hall, Harry vs Taylor, Nick prediction for June 24, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects Taylor, Nick 0 - Hall, Harry 45. Hall, Harry is favored with a 51.7% win probability. The spread is -0.05.
Taylor, Nick
+0.00
Strokes Gained / Round
VS
H2H • Travelers Championship
Hall, Harry
+0.67
Strokes Gained / Round
Head-to-Head Win Probability
Taylor, NickHall, Harry
+106
Best Odds
+6.6%
Edge
1.0u MEDIUM
Sizing
Tournament Context
Event
Travelers Championship
Course
TPC River Highlands
Field
72 players
Wind
10 mph
Temp
82°F
Conditions
harder (+0.4)
Player Profile — Hall, Harry
Strokes Gained
+0.67/round
Above Avg
Course Fit
poor
-0.128 SG adj
Expected Finish
45th / 72
Matchup Analysis
Hall, Harry
+0.67 SG
EF 45th
Skill Gap
-0.05 SG/round
essentially a coin flip
Taylor, Nick
+0.00 SG
EF 0th · Tour Avg
Edge Breakdown
Our Model
51.7%
Books Say
48.5%
Edge
+6.6%
Hall, Harry vs Taylor, Nick: Model gives Hall, Harry 51.7% win probability vs 48.5% implied (+6.6% edge). Expected finish: 45.
AI Intelligence Analysis
LEAN +0
Hall's slight +0.673 SG/round advantage (EF 44.8 vs. 45.5 tier) translates to 51.95% model probability vs. 48.54% market (7.0% edge), but both players are marginal tier; high variance and model uncertainty.
Key Factors
- SG advantage: +0.673 SG/round (Hall > Taylor) — modest but real
- Expected finish: Hall 44.8 vs. Taylor (implied ~45+) — both in marginal tier, very close
- Course fit: -0.128 (Hall slight headwind, but minimal impact)
- Odds: +106 at BetOnline = 48.54% implied; room for 3.41pp edge
- Edge magnitude: 7.0% (smallest of the batch, but solid for thin matchup)
Risk Factors
- Both players marginal tier (EF 45+): high variance, model uncertainty is elevated
- SG difference (+0.673) is modest in context of marginal players
- Course fit headwind (-0.128) applies to Hall; creates drag
MARGINAL TIER MATCHUPSMALLEST EDGECOURSE FIT HEADWIND
Edge Analysis
Moneyline
Hall, Harry 51.7%
+6.6 pts
Spread
-0.1
+6.6 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 →