Fernando Romboli / John-Patrick Smith vs Karol Drzewiecki / Kamil Majchrzak prediction for July 1, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects Karol Drzewiecki / Kamil Majchrzak 0 - Fernando Romboli / John-Patrick Smith 0. Fernando Romboli / John-Patrick Smith is favored with a 55.1% win probability.
Karol Drzewiecki / Kamil Majchrzak
1500
Grass Elo
VS
Grass • ATP
Fernando Romboli / John-Patrick Smith
1500
Grass Elo
Match Win Probability
Karol Drzewiecki / Kamil MajchrzakFernando Romboli / John-Patrick Smith
Grass
Surface
ATP Wimbledon Doubles
Tournament
10,000
Simulations
Calibrated accuracy at this confidence: 54.2% (6,507 games)
Match Context
Tournament
ATP Wimbledon Doubles
Surface
Grass
Format
Best of 5 · ATP
Surface Elo Ratings (Grass)
Fernando Romboli / John-Patrick Smith
Karol Drzewiecki / Kamil Majchrzak
Fernando Romboli / John-Patrick Smith leads by 0 Elo points on Grass
Serve & Return Analysis
Serve Points Won % (SPW) is the single most predictive metric in tennis. ATP average on Grass: 63.5%
Fernando Romboli / John-Patrick Smith SPW
65.6%
Above tour avg
Karol Drzewiecki / Kamil Majchrzak SPW
65.6%
Above tour avg
● Serve statistics are nearly identical — expect a close match
Market Odds & Model Edge
Fernando Romboli / John-Patrick Smith ML
-224
Model: 55%
Edge: -14.0%
Karol Drzewiecki / Kamil Majchrzak ML
+177
Model: 45%
Edge: +8.8%
Model Projection
Karol Drzewiecki / Kamil Majchrzak ML +177 · +8.8% edge
Key Matchup Factors
- Players are closely matched (0-point Elo gap)
- Grass surface amplifies serve advantage — expect fewer breaks, more tiebreaks
- Karol Drzewiecki / Kamil Majchrzak has the stronger serve profile on this surface
Surface Elo v1.0 · Barnett-Clarke serve model · 10,000 simulations · ATP
Edge Analysis
Moneyline
Fernando Romboli / John-Patrick Smith 55.1%
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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. Probabilities are calibrated using Bayesian methods and sized via the Kelly Criterion. Full methodology →