Alex Michelsen vs Jesper de Jong: AI Prediction | Games, Spread, Aces & Double Faults
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 57% 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
Alex Michelsen
- Current #42 2026-08-03
- 3 mo ago #42 2026-05-04
- 6 mo ago #41 2026-02-09
- 9 mo ago #38 2025-11-10
- 12 mo ago #30 2025-08-18
Jesper de Jong
- Current #105 2026-08-03
- 3 mo ago #102 2026-05-04
- 6 mo ago #86 2026-02-09
- 9 mo ago #77 2025-11-10
- 12 mo ago #80 2025-08-18
Player Metrics
Alex Michelsen
Jesper de Jong
Recent Matches
Alex Michelsen
- Last Match: vs Daniel Merida (1-2) hard Toronto 133 min
- 2nd Last Match: vs Francisco Cerundolo (2-0) hard Toronto 88 min
- 3rd Last Match: vs Jan-Lennard Struff (2-1) hard Toronto 86 min
- 4th Last Match: vs Taylor Fritz (1-2) hard Washington 138 min
- 5th Last Match: vs Adrian Mannarino (2-0) hard Washington 107 min
Jesper de Jong
- Last Match: vs Timofey Skatov (1-2) clay Estoril 148 min
- 2nd Last Match: vs Sebastian Baez (0-2) clay Bastad 69 min
- 3rd Last Match: vs Vilius Gaubas (2-0) clay Bastad 134 min
- 4th Last Match: vs Joao Fonseca (0-3) grass Wimbledon 174 min
- 5th Last Match: vs Rinky Hijikata (3-2) grass Wimbledon 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 BO3
Probability of each set-by-set outcome (Alex Michelsen's perspective)
Full distributions as structured data (JSON or CSV)
Final Prediction
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