Marcel Granollers / Horacio Zeballos vs Simone Bolelli / Andrea Vavassori prediction for May 16, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects Simone Bolelli / Andrea Vavassori 0 - Marcel Granollers / Horacio Zeballos 0. Marcel Granollers / Horacio Zeballos is favored with a 54.0% win probability.
Simone Bolelli / Andrea Vavassori
1500
Clay Elo
VS
Clay • ATP
Marcel Granollers / Horacio Zeballos
1500
Clay Elo
Match Win Probability
Simone Bolelli / Andrea VavassoriMarcel Granollers / Horacio Zeballos
Clay
Surface
ATP Rome - Doubles
Tournament
10,000
Simulations
Calibrated accuracy at this confidence: 54.2% (2,335 games)
Match Context
Tournament
ATP Rome - Doubles
Surface
Clay
Format
Best of 3 · ATP
Surface Elo Ratings (Clay)
Marcel Granollers / Horacio Zeballos
Simone Bolelli / Andrea Vavassori
Marcel Granollers / Horacio Zeballos leads by 0 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%
Marcel Granollers / Horacio Zeballos SPW
60.3%
Below tour avg
Simone Bolelli / Andrea Vavassori SPW
60.3%
Below tour avg
● Serve statistics are nearly identical — expect a close match
Market Odds & Model Edge
Marcel Granollers / Horacio Zeballos ML
-127
Model: 54%
Edge: -2.0%
Simone Bolelli / Andrea Vavassori ML
+103
Model: 46%
Edge: -3.3%
Key Matchup Factors
- Players are closely matched (0-point Elo gap)
- Clay surface reduces serve dominance — expect more breaks of serve and longer rallies
- Simone Bolelli / Andrea Vavassori has the stronger serve profile on this surface
Surface Elo v1.0 · Barnett-Clarke serve model · 10,000 simulations · ATP
Edge Analysis
Moneyline
Marcel Granollers / Horacio Zeballos 54.0%
--
More Projections Today
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 →