Jerome Kym 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 83% 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
Jerome Kym
- Current #222 2026-10-26
- 3 mo ago #194 2026-07-27
- 6 mo ago #173 2026-04-20
- 9 mo ago #187 2026-01-19
- 12 mo ago #175 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
Jerome Kym
Jiri Lehecka
Recent Matches
Jerome Kym
- Last Match: vs Ben Shelton (2-1) hard Basel 141 min
- 2nd Last Match: vs Arthur Rinderknech (2-0) hard Basel 101 min
- 3rd Last Match: vs Colton Smith (1-2) hard Us Open 174 min
- 4th Last Match: vs Dan Added (2-0) hard Us Open 174 min
- 5th Last Match: vs Stefanos Tsitsipas (1-2) clay Gstaad 149 min
Jiri Lehecka
- Last Match: vs Daniel Altmaier (2-0) hard Basel 103 min
- 2nd Last Match: vs Stan Wawrinka (2-0) hard Basel 111 min
- 3rd Last Match: vs Tallon Griekspoor (1-2) hard Brussels 136 min
- 4th Last Match: vs Raphael Collignon (2-0) hard Brussels 79 min
- 5th Last Match: vs Rafael Jodar (1-2) hard Shanghai 162 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
Jerome Kym
Expected 8.6 aces
Jiri Lehecka
Expected 7.9 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
Jerome Kym
Expected 2.9 double faults
Jiri Lehecka
Expected 1.9 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 (Jerome Kym's perspective)
Full distributions as structured data (JSON or CSV)
Final Prediction
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