ATP/WTA Tennis

Kamil Majchrzak vs Felix Auger-Aliassime Prediction

June 12, 2026

10,000 Monte Carlo simulations

Kamil Majchrzak vs Felix Auger-Aliassime prediction for June 12, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects Felix Auger-Aliassime 0 - Kamil Majchrzak 0. Felix Auger-Aliassime is favored with a 57.0% win probability.

Felix Auger-Aliassime
1817
Hard Elo
VS Hard • ATP
Kamil Majchrzak
1584
Hard Elo
Match Win Probability
57.0%
43.0%
Felix Auger-AliassimeKamil Majchrzak
Hard
Surface
ATP Hertogenbosch - QF
Tournament
10,000
Simulations
FINALKamil Majchrzak def Felix Auger-Aliassime (2–0)
Calibrated accuracy at this confidence: 55.8% (5,105 games)

Match Context

Tournament
ATP Hertogenbosch - QF
Surface
Hard
Format
Best of 3 · ATP

Surface Elo Ratings (Hard)

Kamil Majchrzak
1584
Felix Auger-Aliassime
1817
Felix Auger-Aliassime leads by 233 Elo points on Hard

Serve & Return Analysis

Serve Points Won % (SPW) is the single most predictive metric in tennis. ATP average on Hard: 63.5%

Kamil Majchrzak SPW
65.7%
Above tour avg
Felix Auger-Aliassime SPW
65.4%
Above tour avg
● Serve statistics are nearly identical — expect a close match

Market Odds & Model Edge

Kamil Majchrzak ML
+243
Model: 43%
Edge: +13.9%
Felix Auger-Aliassime ML
-275
Model: 57%
Edge: -16.4%
Model Projection
Kamil Majchrzak ML +243 · +13.9% edge

Key Matchup Factors

Surface Elo v1.0 · Barnett-Clarke serve model · 10,000 simulations · ATP

Edge Analysis

Moneyline
Felix Auger-Aliassime 57.0%
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How this prediction was generated: This page shows output from the Olympus Bets ATP/WTA Tennis 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 →

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