Damir Dzumhur vs Alejandro Davidovich Fokina prediction for May 23, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects Alejandro Davidovich Fokina 0 - Damir Dzumhur 0. Alejandro Davidovich Fokina is favored with a 69.0% win probability.
Alejandro Davidovich Fokina
1634
Clay Elo
VS
Clay • ATP
Damir Dzumhur
1501
Clay Elo
Match Win Probability
Alejandro Davidovich FokinaDamir Dzumhur
Clay
Surface
ATP French Open
Tournament
10,000
Simulations
Calibrated accuracy at this confidence: 68.3% (6,716 games)
Match Context
Tournament
ATP French Open
Surface
Clay
Format
Best of 5 · ATP
Surface Elo Ratings (Clay)
Damir Dzumhur
Alejandro Davidovich Fokina
Alejandro Davidovich Fokina leads by 133 Elo points on Clay
Serve & Return Analysis
Serve Points Won % (SPW) is the single most predictive metric in tennis. ATP average on Clay: 63.5%
Damir Dzumhur SPW
56.4%
Below tour avg
Alejandro Davidovich Fokina SPW
60.6%
Below tour avg
● Alejandro Davidovich Fokina has a significant serve advantage (+4.2%)
Market Odds & Model Edge
Damir Dzumhur ML
+483
Model: 31%
Edge: +13.8%
Alejandro Davidovich Fokina ML
-597
Model: 69%
Edge: -16.6%
Model Projection
Damir Dzumhur ML +483 · +13.8% edge
Key Matchup Factors
- Alejandro Davidovich Fokina holds a commanding 133-point Elo advantage on Clay
- Clay surface reduces serve dominance — expect more breaks of serve and longer rallies
- Alejandro Davidovich Fokina has the stronger serve profile on this surface
- Heavy favorite (Alejandro Davidovich Fokina at 69%) — ML value may be limited; consider live or set markets
Surface Elo v1.0 · Barnett-Clarke serve model · 10,000 simulations · ATP
Edge Analysis
Moneyline
Alejandro Davidovich Fokina 69.0%
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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 →