Jakub Mensik vs Jan-Lennard Struff: AI Prediction | Games, Spread, Aces & Double Faults
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Set it upRanking Trends
Jakub Mensik
- Current #28 2026-05-04
- 3 mo ago #16 2026-02-16
- 6 mo ago #19 2025-11-17
- 9 mo ago #16 2025-08-18
- 12 mo ago #19 2025-05-19
Jan-Lennard Struff
- Current #83 2026-05-04
- 3 mo ago #77 2026-02-16
- 6 mo ago #84 2025-11-17
- 9 mo ago #145 2025-08-18
- 12 mo ago #86 2025-05-19
Player Metrics
Jakub Mensik
Jan-Lennard Struff
Recent Matches
Jakub Mensik
- Last Match: vs Alexei Popyrin (1-2) clay Rome 131 min
- 2nd Last Match: vs Alexander Zverev (1-2) clay Madrid 138 min
- 3rd Last Match: vs Karen Khachanov (2-0) clay Madrid 107 min
- 4th Last Match: vs Martin Damm (2-0) clay Madrid 66 min
- 5th Last Match: vs Frances Tiafoe (1-2) hard Miami 171 min
Jan-Lennard Struff
- Last Match: vs Jiri Lehecka (0-2) clay Rome 84 min
- 2nd Last Match: vs Francisco Comesana (2-0) clay Rome 81 min
- 3rd Last Match: vs Alex Michelsen (0-2) clay Madrid 57 min
- 4th Last Match: vs Alexandre Muller (2-0) clay Madrid 76 min
- 5th Last Match: vs Nikoloz Basilashvili (0-2) clay Monte Carlo 69 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 (Jakub Mensik's perspective)
Full distributions as structured data (JSON or CSV)
Final Prediction
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