Jakub Mensik vs Lukas Neumayer Prediction
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 79% 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 #16 2026-10-26
- 3 mo ago #17 2026-07-27
- 6 mo ago #27 2026-04-20
- 9 mo ago #17 2026-01-19
- 12 mo ago #19 2025-10-27
Lukas Neumayer
- Current #168 2026-10-26
- 3 mo ago #173 2026-07-27
- 6 mo ago #195 2026-04-20
- 9 mo ago #226 2026-01-19
- 12 mo ago #183 2025-10-27
Player Metrics
Jakub Mensik
Lukas Neumayer
Recent Matches
Jakub Mensik
- Last Match: vs Arthur Gea (0-2) hard Shanghai 97 min
- 2nd Last Match: vs Francisco Cerundolo (2-1) hard Shanghai 117 min
- 3rd Last Match: vs Miomir Kecmanovic (2-0) hard Shanghai 59 min
- 4th Last Match: vs Francisco Cerundolo (0-2) hard Beijing 76 min
- 5th Last Match: vs Alexander Bublik (2-0) hard Beijing 96 min
Lukas Neumayer
- Last Match: vs Titouan Droguet (2-0) hard Vienna 100 min
- 2nd Last Match: vs Vit Kopriva (2-0) hard Vienna 93 min
- 3rd Last Match: vs Coleman Wong (0-2) hard Us Open 174 min
- 4th Last Match: vs James McCabe (2-0) hard Us Open 174 min
- 5th Last Match: vs Yannick Hanfmann (0-2) clay Kitzbuhel 104 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 11.3 aces
Lukas Neumayer
Expected 4.4 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 2.8 double faults
Lukas Neumayer
Expected 2.3 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 (Jakub Mensik's perspective)
Full distributions as structured data (JSON or CSV)
Final Prediction
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