Jiri Lehecka vs James Duckworth: AI Prediction | Games, Spread, Aces & Double Faults
Jiri Lehecka
James Duckworth
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Set it upRanking Trends
Jiri Lehecka
- Current #12 2026-06-08
- 3 mo ago #23 2026-03-02
- 6 mo ago #17 2025-12-08
- 9 mo ago #16 2025-09-08
- 12 mo ago #33 2025-06-09
James Duckworth
- Current #79 2026-06-08
- 3 mo ago #83 2026-03-02
- 6 mo ago #86 2025-12-08
- 9 mo ago #105 2025-09-08
- 12 mo ago #94 2025-06-09
Player Metrics
Jiri Lehecka
James Duckworth
Recent Matches
Jiri Lehecka
- Last Match: vs Pablo Carreno Busta (0-3) clay Roland Garros 174 min
- 2nd Last Match: vs Casper Ruud (0-2) clay Rome 79 min
- 3rd Last Match: vs Jan-Lennard Struff (2-0) clay Rome 84 min
- 4th Last Match: vs Arthur Fils (0-2) clay Madrid 74 min
- 5th Last Match: vs Lorenzo Musetti (2-0) clay Madrid 74 min
James Duckworth
- Last Match: vs Diego Dedura (2-0) grass Stuttgart 73 min
- 2nd Last Match: vs Rafael Jodar (1-3) clay Roland Garros 174 min
- 3rd Last Match: vs Laslo Djere (1-2) clay Geneva 119 min
- 4th Last Match: vs Edas Butvilas (0-2) clay Geneva 94 min
- 5th Last Match: vs Miguel Damas (2-1) clay Geneva 160 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 (Jiri Lehecka's perspective)
Full distributions as structured data (JSON or CSV)
Final Prediction
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