PGA Tour Golf

Hojgaard, Rasmus vs Clark, Wyndham Prediction

May 21, 2026

10,000 Monte Carlo simulations

Hojgaard, Rasmus vs Clark, Wyndham prediction for May 21, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects Clark, Wyndham 0 - Hojgaard, Rasmus 78. Hojgaard, Rasmus is favored with a 54.7% win probability. The spread is -0.05.

Clark, Wyndham
+0.00
Strokes Gained / Round
VS H2H • THE CJ CUP Byron Nelson
Hojgaard, Rasmus
+0.47
Strokes Gained / Round
Head-to-Head Win Probability
45.3%
54.7%
Clark, WyndhamHojgaard, Rasmus
-105
Best Odds
+6.8%
Edge
1.0u MEDIUM
Sizing
FINALClark, Wyndham (T15) def Hojgaard, Rasmus (T87)

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 — Hojgaard, Rasmus

Strokes Gained
+0.47/round
Tour Avg
Course Fit
good
+0.180 SG adj
Expected Finish
78th / 147

Matchup Analysis

Hojgaard, Rasmus
+0.47 SG
EF 78th
Skill Gap
-0.05 SG/round
essentially a coin flip
Clark, Wyndham
+0.00 SG
EF 0th · Tour Avg

Edge Breakdown

Our Model
54.7%
Books Say
51.2%
Edge
+6.8%

Hojgaard, Rasmus vs Clark, Wyndham: Model gives Hojgaard, Rasmus 54.7% win probability vs 51.2% implied (+6.8% edge). Expected finish: 78.

AI Intelligence Analysis

NEUTRAL +0RED ZONE0.5% WR (n=380)
Model 54.8% vs market 51.22% creates only +7.0% edge; -0.051 skill gap, mid-field EF (76.8 both), -105 odds, and modest differentiators lack conviction.

Key Factors

  • Skill gap: -0.051 (near-parity)
  • Course fit: +0.180 (Hojgaard slight advantage)
  • SG total: +0.472 (Hojgaard advantage)
  • EF: 76.8 both (parity)
  • Edge: +7.0% at -105 BetOnline (modest)

Risk Factors

  • Skill parity (-0.051) near-zero
  • EF parity (76.8 both) suggests coin-flip
  • Negative odds (-105) unfavorable
SKILL PARITYEF PARITYMODEST EDGE

Edge Analysis

Moneyline
Hojgaard, Rasmus 54.7%
+6.8 pts
Spread
-0.1
+6.8 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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