Katarzyna Kawa vs Maya Joint prediction for June 2, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects Maya Joint 0 - Katarzyna Kawa 0. Maya Joint is favored with a 56.9% win probability.
Maya Joint
1502
Hard Elo
VS
Hard • WTA
Katarzyna Kawa
1544
Hard Elo
Match Win Probability
Maya JointKatarzyna Kawa
Hard
Surface
Makarska Open
Tournament
10,000
Simulations
Calibrated accuracy at this confidence: 55.4% (4,286 games)
Match Context
Tournament
Makarska Open
Surface
Hard
Format
Best of 3 · WTA
Surface Elo Ratings (Hard)
Katarzyna Kawa
Maya Joint
Katarzyna Kawa leads by 42 Elo points on Hard
Serve & Return Analysis
Serve Points Won % (SPW) is the single most predictive metric in tennis. WTA average on Hard: 56.5%
Katarzyna Kawa SPW
56.2%
Below tour avg
Maya Joint SPW
58.2%
Above tour avg
● Maya Joint has a slight serve edge (+2.0%)
Key Matchup Factors
- Katarzyna Kawa has a moderate 42-point Elo edge on Hard
- Hard court provides a neutral surface — favors all-court players
- Maya Joint has the stronger serve profile on this surface
Surface Elo v1.0 · Barnett-Clarke serve model · 10,000 simulations · WTA
Edge Analysis
Moneyline
Maya Joint 56.9%
--
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 →