PGA Tour Golf

Fisk, Steven vs Dumont De Chassart, Adrien Prediction

May 27, 2026

10,000 Monte Carlo simulations

Fisk, Steven vs Dumont De Chassart, Adrien prediction for May 27, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects Dumont De Chassart, Adrien 0 - Fisk, Steven 88. Fisk, Steven is favored with a 57.7% win probability. The spread is -0.09.

Dumont De Chassart, Adrien
+0.00
Strokes Gained / Round
VS H2H • Charles Schwab Challenge
Fisk, Steven
+0.14
Strokes Gained / Round
Head-to-Head Win Probability
42.3%
57.7%
Dumont De Chassart, AdrienFisk, Steven
-115
Best Odds
+7.9%
Edge
1.0u MEDIUM
Sizing
FINALFisk, Steven (T10) def Dumont De Chassart, Adrien (CUT)

Tournament Context

Event
Charles Schwab Challenge
Course
Colonial CC
Field
132 players
Wind
10 mph
Temp
86°F
Conditions
harder (+0.4)

Player Profile — Fisk, Steven

Strokes Gained
+0.14/round
Tour Avg
Course Fit
poor
-0.207 SG adj
Expected Finish
88th / 132

Matchup Analysis

Fisk, Steven
+0.14 SG
EF 88th
Skill Gap
-0.09 SG/round
essentially a coin flip
Dumont De Chassart, Adrien
+0.00 SG
EF 0th · Tour Avg

Edge Breakdown

Our Model
57.7%
Books Say
53.5%
Edge
+7.9%

Fisk, Steven vs Dumont De Chassart, Adrien: Model gives Fisk, Steven 57.7% win probability vs 53.5% implied (+7.9% edge). Expected finish: 88.

AI Intelligence Analysis

NEUTRAL +0
Fisk's minimal SG (0.138) + negative course fit (−0.207) yield an 8.1% edge that lacks thesis support; deep-field variance dominates.

Key Factors

  • Model: 57.8% vs 53.5% implied (+8.1% edge)
  • Fisk SG: +0.138 (minimal)
  • Course fit: −0.207 (negative, working against)
  • Expected finish: Fisk 88 (deep field)

Risk Factors

  • Minimal SG (0.138)
  • Negative fit (−0.207)
  • Deep field (EF 88) = high variance
WEAK THESISNEGATIVE FIT

Edge Analysis

Moneyline
Fisk, Steven 57.7%
+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 →

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