Jakub Mensik vs Learner Tien: AI Prediction | Games, Spread, Aces & Double Faults
Why the Model Favors Jakub Mensik
The factors that drove this prediction, measured in win-probability points.
Starting from an even matchup, these factors move the model to 52% for Jakub Mensik. Computed with gradient-based attribution on our neural network, not editorial opinion. How to read this →
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Set it upRanking Trends
Jakub Mensik
- Current #18 2026-08-24
- 3 mo ago #27 2026-05-25
- 6 mo ago #12 2026-03-02
- 9 mo ago #19 2025-12-01
- 12 mo ago #16 2025-08-25
Learner Tien
- Current #15 2026-08-24
- 3 mo ago #18 2026-05-25
- 6 mo ago #27 2026-03-02
- 9 mo ago #28 2025-12-01
- 12 mo ago #50 2025-08-25
Player Metrics
Jakub Mensik
Learner Tien
Recent Matches
Jakub Mensik
- Last Match: vs Jurij Rodionov (3-1) hard Us Open 174 min
- 2nd Last Match: vs Shintaro Mochizuki (3-0) hard Us Open 174 min
- 3rd Last Match: vs Thiago Agustin Tirante (1-2) hard Cincinnati 134 min
- 4th Last Match: vs Rinky Hijikata (2-0) hard Cincinnati 92 min
- 5th Last Match: vs Mattia Bellucci (2-1) hard Cincinnati 171 min
Learner Tien
- Last Match: vs Gael Monfils (3-0) hard Us Open 174 min
- 2nd Last Match: vs Nuno Borges (3-0) hard Us Open 174 min
- 3rd Last Match: vs Frances Tiafoe (1-2) hard Cincinnati 129 min
- 4th Last Match: vs Sebastian Baez (2-0) hard Cincinnati 85 min
- 5th Last Match: vs Ben Shelton (0-2) hard Toronto 84 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
Jakub Mensik
Expected 12.6 aces
Learner Tien
Expected 6.0 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
Jakub Mensik
Expected 5.0 double faults
Learner Tien
Expected 4.6 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 (Jakub Mensik's perspective)
Full distributions as structured data (JSON or CSV)
Final Prediction
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