Botic van de Zandschulp vs Roman Safiullin prediction for July 1, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects Roman Safiullin 0 - Botic van de Zandschulp 0. Botic van de Zandschulp is favored with a 57.6% win probability.
Roman Safiullin
1414
Grass Elo
VS
Grass • ATP
Botic van de Zandschulp
1491
Grass Elo
Match Win Probability
Roman SafiullinBotic van de Zandschulp
Grass
Surface
ATP Wimbledon
Tournament
10,000
Simulations
Calibrated accuracy at this confidence: 54.5% (6,507 games)
Match Context
Tournament
ATP Wimbledon
Surface
Grass
Format
Best of 5 · ATP
Surface Elo Ratings (Grass)
Botic van de Zandschulp
Roman Safiullin
Botic van de Zandschulp leads by 77 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%
Botic van de Zandschulp SPW
64.1%
Above tour avg
Roman Safiullin SPW
63.7%
Above tour avg
● Serve statistics are nearly identical — expect a close match
Market Odds & Model Edge
Botic van de Zandschulp ML
+128
Model: 58%
Edge: +13.7%
Roman Safiullin ML
-141
Model: 42%
Edge: -16.1%
Model Projection
Botic van de Zandschulp ML +128 · +13.7% edge
Key Matchup Factors
- Botic van de Zandschulp has a moderate 77-point Elo edge on Grass
- Grass surface amplifies serve advantage — expect fewer breaks, more tiebreaks
- Botic van de Zandschulp has the stronger serve profile on this surface
Surface Elo v1.0 · Barnett-Clarke serve model · 10,000 simulations · ATP
Edge Analysis
Moneyline
Botic van de Zandschulp 57.6%
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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 →