Roman Safiullin vs Botic van de Zandschulp: AI Prediction | Games, Spread, Aces & Double Faults
Why the Model Favors Botic van de Zandschulp
The factors that drove this prediction, measured in win-probability points.
Starting from an even matchup, these factors move the model to 61% for Botic van de Zandschulp. Computed with gradient-based attribution on our neural network — not editorial opinion. How to read this →
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Set it upRanking Trends
Roman Safiullin
- Current #132 2026-06-29
- 3 mo ago #229 2026-03-30
- 6 mo ago #172 2025-12-29
- 9 mo ago #106 2025-09-29
- 12 mo ago #75 2025-06-30
Botic van de Zandschulp
- Current #54 2026-06-29
- 3 mo ago #62 2026-03-30
- 6 mo ago #77 2025-12-29
- 9 mo ago #84 2025-09-29
- 12 mo ago #92 2025-06-30
Player Metrics
Roman Safiullin
Botic van de Zandschulp
Recent Matches
Roman Safiullin
- Last Match: vs Andrey Rublev (3-2) grass Wimbledon 174 min
- 2nd Last Match: vs Jerome Kym (3-2) grass Wimbledon 174 min
- 3rd Last Match: vs Kimmer Coppejans (2-0) grass Wimbledon 174 min
- 4th Last Match: vs James McCabe (2-0) grass Wimbledon 174 min
- 5th Last Match: vs Giovanni Mpetshi Perricard (1-2) grass Stuttgart 140 min
Botic van de Zandschulp
- Last Match: vs Aleksandar Kovacevic (3-1) grass Wimbledon 174 min
- 2nd Last Match: vs Tommy Paul (0-2) grass London 101 min
- 3rd Last Match: vs Harry Wendelken (2-0) grass London 114 min
- 4th Last Match: vs Tallon Griekspoor (1-2) grass S Hertogenbosch 134 min
- 5th Last Match: vs Francisco Cerundolo (1-3) clay Roland Garros 174 min
Head-to-Head (Last 2 Seasons)
Key Prediction Insights
Match Analysis
Total Games Predictions
Total Games Probability Distribution
Distribution
Probability of each total games outcome
Cumulative Probability (CDF)
Probability of total games ≤ X
Games Spread Predictions
Games Spread Probability Distribution
Distribution
Probability of each games spread outcome
Cumulative Probability (CDF)
Probability of spread ≤ X
Aces and Double Faults Predictions
Aces Probability Distribution
Distribution
Probability of each ace count outcome
Cumulative Probability (CDF)
Probability of aces ≤ X
Double Faults Probability Distribution
Distribution
Probability of each double fault count outcome
Cumulative Probability (CDF)
Probability of double faults ≤ X
Match Format Predictions
Tiebreak Likelihood
Probability that any tiebreak is played in this match
Exact Score Distribution BO5
Probability of each set-by-set outcome (Roman Safiullin's perspective)
Full distributions as structured data (JSON or CSV)
Final Prediction
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