Benjamin Bonzi 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 63% for Botic van de Zandschulp. Computed with gradient-based attribution on our neural network, not editorial opinion. How to read this →
Also available in Claude and Perplexity. Query these predictions in plain language: our native connector lets your AI assistant call our models on demand, no code.
Set it upRanking Trends
Benjamin Bonzi
- Current #100 2026-08-10
- 3 mo ago #95 2026-05-25
- 6 mo ago #104 2026-02-23
- 9 mo ago #95 2025-11-24
- 12 mo ago #51 2025-08-25
Botic van de Zandschulp
- Current #59 2026-08-10
- 3 mo ago #55 2026-05-25
- 6 mo ago #61 2026-02-23
- 9 mo ago #77 2025-11-24
- 12 mo ago #73 2025-08-25
Player Metrics
Benjamin Bonzi
Botic van de Zandschulp
Recent Matches
Benjamin Bonzi
- Last Match: vs Rinky Hijikata (2-0) hard Winston Salem 57 min
- 2nd Last Match: vs Quentin Halys (2-1) hard Winston Salem 131 min
- 3rd Last Match: vs Kamil Majchrzak (2-0) hard Winston Salem 108 min
- 4th Last Match: vs Dusan Lajovic (1-2) hard Cincinnati 153 min
- 5th Last Match: vs Yannick Hanfmann (1-2) hard Toronto 120 min
Botic van de Zandschulp
- Last Match: vs Luciano Darderi (2-0) hard Winston Salem 68 min
- 2nd Last Match: vs Adolfo Daniel Vallejo (2-0) hard Winston Salem 70 min
- 3rd Last Match: vs Joao Fonseca (0-2) hard Cincinnati 107 min
- 4th Last Match: vs Aleksandr Shevchenko (2-0) hard Cincinnati 112 min
- 5th Last Match: vs Jakub Mensik (0-2) hard Toronto 89 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
Aces by Player
Benjamin Bonzi
Expected 5.5 aces
Botic van de Zandschulp
Expected 7.8 aces
Double Faults Probability Distribution
Distribution
Probability of each double fault count outcome
Cumulative Probability (CDF)
Probability of double faults ≤ X
Double Faults by Player
Benjamin Bonzi
Expected 2.9 double faults
Botic van de Zandschulp
Expected 4.0 double faults
Match Format Predictions
Tiebreak Likelihood
Probability that any tiebreak is played in this match
Exact Score Distribution BO3
Probability of each set-by-set outcome (Benjamin Bonzi's perspective)
Full distributions as structured data (JSON or CSV)
Final Prediction
Get Daily Tennis Predictions
Enjoyed this analysis? Subscribe to our Telegram channel and receive daily AI-driven tennis predictions directly on your phone.
Join Our Telegram Channel