Botic van de Zandschulp vs Alex Michelsen Prediction
Why the Model Favors Alex Michelsen
The factors that drove this prediction, measured in win-probability points.
Starting from an even matchup, these factors move the model to 61% for Alex Michelsen. 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 #41 2026-10-05
- 3 mo ago #54 2026-06-29
- 6 mo ago #52 2026-04-06
- 9 mo ago #75 2026-01-05
- 12 mo ago #84 2025-09-29
Alex Michelsen
- Current #35 2026-10-05
- 3 mo ago #46 2026-06-29
- 6 mo ago #35 2026-04-06
- 9 mo ago #37 2026-01-05
- 12 mo ago #34 2025-09-29
Player Metrics
Botic van de Zandschulp
Alex Michelsen
Recent Matches
Botic van de Zandschulp
- Last Match: vs Daniel Merida (2-1) hard Shanghai 108 min
- 2nd Last Match: vs Francisco Cerundolo (1-2) hard Beijing 167 min
- 3rd Last Match: vs Jie Cui (2-0) hard Beijing 89 min
- 4th Last Match: vs Valentin Royer (2-1) hard Beijing 129 min
- 5th Last Match: vs Nikoloz Basilashvili (0-2) hard Chengdu 87 min
Alex Michelsen
- Last Match: vs Carlos Alcaraz (1-2) hard Tokio 151 min
- 2nd Last Match: vs Frances Tiafoe (2-3) hard Us Open 174 min
- 3rd Last Match: vs Tomas Martin Etcheverry (3-0) hard Us Open 174 min
- 4th Last Match: vs Daniel Merida (3-0) hard Us Open 174 min
- 5th Last Match: vs Brandon Nakashima (3-0) hard Us Open 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
Aces by Player
Botic van de Zandschulp
Expected 6.7 aces
Alex Michelsen
Expected 6.2 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 3.8 double faults
Alex Michelsen
Expected 3.2 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 (Botic van de Zandschulp's perspective)
Full distributions as structured data (JSON or CSV)
Final Prediction
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