Raphael Collignon 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 84% 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
Raphael Collignon
- Current #55 2026-10-19
- 3 mo ago #37 2026-07-20
- 6 mo ago #71 2026-04-20
- 9 mo ago #72 2026-01-19
- 12 mo ago #73 2025-10-20
Jiri Lehecka
- Current #20 2026-10-19
- 3 mo ago #12 2026-07-20
- 6 mo ago #14 2026-04-20
- 9 mo ago #19 2026-01-19
- 12 mo ago #17 2025-10-20
Player Metrics
Raphael Collignon
Jiri Lehecka
Recent Matches
Raphael Collignon
- Last Match: vs Nishesh Basavareddy (2-1) hard Brussels 134 min
- 2nd Last Match: vs Sebastian Gorzny (2-3) hard Us Open 174 min
- 3rd Last Match: vs Rinky Hijikata (1-2) hard Winston Salem 190 min
- 4th Last Match: vs Mariano Navone (0-2) hard Cincinnati 111 min
- 5th Last Match: vs Alexei Popyrin (0-2) hard Toronto 74 min
Jiri Lehecka
- Last Match: vs Rafael Jodar (1-2) hard Shanghai 162 min
- 2nd Last Match: vs Nuno Borges (2-1) hard Shanghai 118 min
- 3rd Last Match: vs Carlos Alcaraz (0-2) hard Tokio 96 min
- 4th Last Match: vs Valentin Vacherot (2-0) hard Tokio 68 min
- 5th Last Match: vs Adolfo Daniel Vallejo (2-0) hard Tokio 58 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
Raphael Collignon
Expected 7.2 aces
Jiri Lehecka
Expected 8.4 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
Raphael Collignon
Expected 4.7 double faults
Jiri Lehecka
Expected 2.5 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 (Raphael Collignon's perspective)
Full distributions as structured data (JSON or CSV)
Final Prediction
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