Kajsa Rinaldo Persson vs Leolia Jeanjean prediction for June 2, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects Leolia Jeanjean 0 - Kajsa Rinaldo Persson 0. Kajsa Rinaldo Persson is favored with a 58.5% win probability.
Leolia Jeanjean
1518
Hard Elo
VS
Hard • WTA
Kajsa Rinaldo Persson
1504
Hard Elo
Match Win Probability
Leolia JeanjeanKajsa Rinaldo Persson
Hard
Surface
WTA 125K Makarska
Tournament
10,000
Simulations
Calibrated accuracy at this confidence: 57.6% (4,286 games)
Match Context
Tournament
WTA 125K Makarska
Surface
Hard
Format
Best of 3 · WTA
Surface Elo Ratings (Hard)
Kajsa Rinaldo Persson
Leolia Jeanjean
Leolia Jeanjean leads by 15 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%
Kajsa Rinaldo Persson SPW
60.7%
Above tour avg
Leolia Jeanjean SPW
56.0%
Below tour avg
● Kajsa Rinaldo Persson has a significant serve advantage (+4.7%)
Market Odds & Model Edge
Kajsa Rinaldo Persson ML
+213
Model: 58%
Edge: +26.6%
Leolia Jeanjean ML
-263
Model: 42%
Edge: -31.0%
Model Projection
Kajsa Rinaldo Persson ML +213 · +26.6% edge
Key Matchup Factors
- Players are closely matched (15-point Elo gap)
- Hard court provides a neutral surface — favors all-court players
- Kajsa Rinaldo Persson has the stronger serve profile on this surface
Surface Elo v1.0 · Barnett-Clarke serve model · 10,000 simulations · WTA
Edge Analysis
Moneyline
Kajsa Rinaldo Persson 58.5%
--
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 →