Michael Mmoh vs Aleksandar Kovacevic prediction for June 13, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects Aleksandar Kovacevic 0 - Michael Mmoh 0. Michael Mmoh is favored with a 53.1% win probability.
Aleksandar Kovacevic
1423
Hard Elo
VS
Hard • ATP
Michael Mmoh
1560
Hard Elo
Match Win Probability
Aleksandar KovacevicMichael Mmoh
Hard
Surface
ATP London
Tournament
10,000
Simulations
Calibrated accuracy at this confidence: 54.9% (5,165 games)
Match Context
Tournament
ATP London
Surface
Hard
Format
Best of 3 · ATP
Surface Elo Ratings (Hard)
Michael Mmoh
Aleksandar Kovacevic
Michael Mmoh leads by 137 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%
Michael Mmoh SPW
64.0%
Above tour avg
Aleksandar Kovacevic SPW
62.1%
Below tour avg
● Michael Mmoh has a slight serve edge (+1.9%)
Market Odds & Model Edge
Michael Mmoh ML
+129
Model: 53%
Edge: +9.4%
Aleksandar Kovacevic ML
-151
Model: 47%
Edge: -13.3%
Model Projection
Michael Mmoh ML +129 · +9.4% edge
Key Matchup Factors
- Michael Mmoh holds a commanding 137-point Elo advantage on Hard
- Hard court provides a neutral surface — favors all-court players
- Michael Mmoh has the stronger serve profile on this surface
Surface Elo v1.0 · Barnett-Clarke serve model · 10,000 simulations · ATP
Edge Analysis
Moneyline
Michael Mmoh 53.1%
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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 →