Straka, Sepp vs English, Harris prediction for May 5, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects English, Harris 37 - Straka, Sepp 23. Straka, Sepp is favored with a 61.9% win probability. The spread is -0.03.
English, Harris
+1.17
Strokes Gained / Round
VS
H2H • Truist Championship
Straka, Sepp
+1.13
Strokes Gained / Round
Head-to-Head Win Probability
English, HarrisStraka, Sepp
-104
Best Odds
+21.5%
Edge
1.5u ELITE
Sizing
Projected Points Range 10th – 90th percentile
Straka, Sepp
162330
English, Harris
303744
Tournament Context
Event
Truist Championship
Course
Quail Hollow Club
Field
72 players
Wind
11 mph
Temp
76°F
Conditions
harder (+0.5)
Player Profile — Straka, Sepp
Strokes Gained
+1.13/round
Tour Elite
Course Fit
excellent
+0.754 SG adj
Expected Finish
23th / 72
Matchup Analysis
Straka, Sepp
+1.13 SG
EF 23th
Skill Gap
-0.03 SG/round
essentially a coin flip
English, Harris
+1.17 SG
EF 37th · Tour Elite
Edge Breakdown
Our Model
61.9%
Books Say
51.0%
Edge
+21.5%
Straka, Sepp vs English, Harris: Model gives Straka, Sepp 61.9% win probability vs 51.0% implied (+21.5% edge). Expected finish: 23.
AI Intelligence Analysis
STRONG BET +1
Straka 61.3% h2h vs 50.7% implied = +20.7% edge; Straka's +1.13 SG total + +0.75 course fit (English -0.33 course fit) creates 1.08 SG course-fit edge differential.
Key Factors
- Straka course fit +0.75 vs English -0.33 (as shown in field data) = +1.08 SG differential
- Straka skill +1.13 SG total is solid mid-tier
- Skill diff near-zero (-0.029 SG) but venue delta dominates
- Pinnacle -103 (50.7% implied) vs 61.3% model = +20.7% edge
Risk Factors
- English's negative course fit (-0.33 SG) is the linchpin; if incorrect, edge collapses
- Straka is app-heavy (+0.61 SG); English may be strong putter/approach player despite negative fit
- Matchup depends on course-fit differential being real and sustained through 4 rounds
Edge Analysis
Moneyline
Straka, Sepp 61.9%
+21.5 pts
Spread
-0.0
+21.5 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 →