Stan Wawrinka vs Jiri Lehecka Prediction
Why the Model Favors Jiri Lehecka
The factors that drove this prediction, measured in win-probability points.
Starting from an even matchup, these factors move the model to 87% for Jiri Lehecka. Computed with gradient-based attribution on our neural network, not editorial opinion. How to read this →
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Set it upRanking Trends
Stan Wawrinka
- Current #151 2026-10-26
- 3 mo ago #125 2026-07-27
- 6 mo ago #106 2026-04-20
- 9 mo ago #139 2026-01-19
- 12 mo ago #158 2025-10-27
Jiri Lehecka
- Current #21 2026-10-26
- 3 mo ago #12 2026-07-27
- 6 mo ago #14 2026-04-20
- 9 mo ago #19 2026-01-19
- 12 mo ago #18 2025-10-27
Player Metrics
Stan Wawrinka
Jiri Lehecka
Recent Matches
Stan Wawrinka
- Last Match: vs Flavio Cobolli (0-2) hard Marseille 67 min
- 2nd Last Match: vs Martin Landaluce (2-1) hard Marseille 166 min
- 3rd Last Match: vs Matteo Berrettini (0-3) hard Us Open 174 min
- 4th Last Match: vs Roman Andres Burruchaga (1-2) clay Estoril 149 min
- 5th Last Match: vs Jaime Faria (1-2) clay Gstaad 157 min
Jiri Lehecka
- Last Match: vs Tallon Griekspoor (1-2) hard Brussels 136 min
- 2nd Last Match: vs Raphael Collignon (2-0) hard Brussels 79 min
- 3rd Last Match: vs Rafael Jodar (1-2) hard Shanghai 162 min
- 4th Last Match: vs Nuno Borges (2-1) hard Shanghai 118 min
- 5th Last Match: vs Carlos Alcaraz (0-2) hard Tokio 96 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
Stan Wawrinka
Expected 6.3 aces
Jiri Lehecka
Expected 10.4 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
Stan Wawrinka
Expected 2.1 double faults
Jiri Lehecka
Expected 1.8 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 (Stan Wawrinka's perspective)
Full distributions as structured data (JSON or CSV)
Final Prediction
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