Trevor Svajda vs Jakub Mensik: 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 82% 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
Trevor Svajda
- Current #436 2026-07-27
- 3 mo ago #389 2026-04-20
- 6 mo ago #382 2026-01-19
- 9 mo ago #385 2025-10-27
- 12 mo ago #1000 None
Jakub Mensik
- Current #17 2026-07-27
- 3 mo ago #27 2026-04-20
- 6 mo ago #17 2026-01-19
- 9 mo ago #19 2025-10-27
- 12 mo ago #18 2025-07-28
Player Metrics
Trevor Svajda
Jakub Mensik
Recent Matches
Trevor Svajda
- Last Match: vs Mackenzie McDonald (2-0) hard Washington 87 min
- 2nd Last Match: vs Elias Ymer (2-0) hard Washington 95 min
- 3rd Last Match: vs Mackenzie McDonald (0-2) hard Indian Wells 67 min
- 4th Last Match: vs Luca Nardi (2-1) hard Indian Wells 132 min
- 5th Last Match: vs Ethan Quinn (0-2) hard Dallas 106 min
Jakub Mensik
- Last Match: vs Grigor Dimitrov (1-3) grass Wimbledon 174 min
- 2nd Last Match: vs Toby Samuel (3-2) grass Wimbledon 174 min
- 3rd Last Match: vs Adrian Mannarino (1-2) grass London 161 min
- 4th Last Match: vs Alexander Zverev (1-3) clay Roland Garros 174 min
- 5th Last Match: vs Joao Fonseca (3-0) clay Roland Garros 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 (Trevor Svajda's perspective)
Full distributions as structured data (JSON or CSV)
Final Prediction
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