ATP/WTA Tennis

Jacob Fearnley vs Giovanni Mpetshi Perricard Prediction

May 6, 2026

10,000 Monte Carlo simulations

Jacob Fearnley vs Giovanni Mpetshi Perricard prediction for May 6, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects Giovanni Mpetshi Perricard 0 - Jacob Fearnley 0. Giovanni Mpetshi Perricard is favored with a 59.0% win probability.

Giovanni Mpetshi Perricard
1484
Clay Elo
VS Clay • ATP
Jacob Fearnley
1469
Clay Elo
Match Win Probability
59.0%
41.0%
Giovanni Mpetshi PerricardJacob Fearnley
Clay
Surface
Internazionali BNL d'Italia
Tournament
10,000
Simulations
FINALGiovanni Mpetshi Perricard def Jacob Fearnley (2–1)
Calibrated accuracy at this confidence: 55.5% (1,751 games)

Match Context

Tournament
Internazionali BNL d'Italia
Surface
Clay
Format
Best of 3 · ATP

Surface Elo Ratings (Clay)

Jacob Fearnley
1469
Giovanni Mpetshi Perricard
1484
Giovanni Mpetshi Perricard leads by 15 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%

Jacob Fearnley SPW
72.3%
Above tour avg
Giovanni Mpetshi Perricard SPW
76.6%
Above tour avg
● Giovanni Mpetshi Perricard has a significant serve advantage (+4.3%)

Market Odds & Model Edge

Jacob Fearnley ML
-500
Model: 41%
Edge: -42.4%
Giovanni Mpetshi Perricard ML
+375
Model: 59%
Edge: +38.0%
Model Projection
Giovanni Mpetshi Perricard ML +375 · +38.0% edge

Key Matchup Factors

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

Edge Analysis

Moneyline
Giovanni Mpetshi Perricard 59.0%
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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. Full methodology →

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