ATP/WTA Tennis

Novak Djokovic vs Giovanni Mpetshi Perricard Prediction

May 23, 2026

10,000 Monte Carlo simulations

Novak Djokovic vs Giovanni Mpetshi Perricard prediction for May 23, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects Giovanni Mpetshi Perricard 0 - Novak Djokovic 0. Novak Djokovic is favored with a 67.8% win probability.

Giovanni Mpetshi Perricard
1484
Clay Elo
VS Clay • ATP
Novak Djokovic
1835
Clay Elo
Match Win Probability
32.2%
67.8%
Giovanni Mpetshi PerricardNovak Djokovic
Clay
Surface
ATP French Open
Tournament
10,000
Simulations
FINALNovak Djokovic def Giovanni Mpetshi Perricard (3–1)
Calibrated accuracy at this confidence: 68.1% (6,716 games)

Match Context

Tournament
ATP French Open
Surface
Clay
Format
Best of 5 · ATP

Surface Elo Ratings (Clay)

Novak Djokovic
1835
Giovanni Mpetshi Perricard
1484
Novak Djokovic leads by 351 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%

Novak Djokovic SPW
65.3%
Above tour avg
Giovanni Mpetshi Perricard SPW
62.0%
Below tour avg
● Novak Djokovic has a significant serve advantage (+3.2%)

Market Odds & Model Edge

Novak Djokovic ML
-956
Model: 68%
Edge: -22.7%
Giovanni Mpetshi Perricard ML
+671
Model: 32%
Edge: +19.2%
Model Projection
Giovanni Mpetshi Perricard ML +671 · +19.2% edge

Key Matchup Factors

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

Edge Analysis

Moneyline
Novak Djokovic 67.8%
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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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