Botic van de Zandschulp vs Alex de Minaur: AI Prediction | Games, Spread, Aces & Double Faults
Botic van de Zandschulp
Alex de Minaur
Why the Model Favors Alex de Minaur
The factors that drove this prediction, measured in win-probability points.
Starting from an even matchup, these factors move the model to 76% for Alex de Minaur. Computed with gradient-based attribution on our neural network, not editorial opinion. How to read this →
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Set it upRanking Trends
Botic van de Zandschulp
- Current #71 2026-08-24
- 3 mo ago #55 2026-05-25
- 6 mo ago #59 2026-03-02
- 9 mo ago #77 2025-12-01
- 12 mo ago #73 2025-08-25
Alex de Minaur
- Current #7 2026-08-24
- 3 mo ago #7 2026-05-25
- 6 mo ago #6 2026-03-02
- 9 mo ago #7 2025-12-01
- 12 mo ago #8 2025-08-25
Player Metrics
Botic van de Zandschulp
Alex de Minaur
Recent Matches
Botic van de Zandschulp
- Last Match: vs Jan Choinski (3-0) hard Us Open 174 min
- 2nd Last Match: vs Benjamin Bonzi (0-2) hard Winston Salem 125 min
- 3rd Last Match: vs Luciano Darderi (2-0) hard Winston Salem 68 min
- 4th Last Match: vs Adolfo Daniel Vallejo (2-0) hard Winston Salem 70 min
- 5th Last Match: vs Joao Fonseca (0-2) hard Cincinnati 107 min
Alex de Minaur
- Last Match: vs Andrea Guerrieri (3-0) hard Us Open 174 min
- 2nd Last Match: vs Arthur Fils (0-2) hard Cincinnati 82 min
- 3rd Last Match: vs Arthur Fery (2-0) hard Cincinnati 142 min
- 4th Last Match: vs Quentin Halys (2-1) hard Cincinnati 136 min
- 5th Last Match: vs Cameron Norrie (1-2) hard Toronto 172 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
Botic van de Zandschulp
Expected 8.7 aces
Alex de Minaur
Expected 6.3 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
Botic van de Zandschulp
Expected 5.5 double faults
Alex de Minaur
Expected 4.7 double faults
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 (Botic van de Zandschulp's perspective)
Full distributions as structured data (JSON or CSV)
Final Prediction
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