Stan Wawrinka vs Jesper de Jong: AI Prediction | Games, Spread, Aces & Double Faults
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Set it upRanking Trends
Stan Wawrinka
- Current #119 2026-05-18
- 3 mo ago #99 2026-02-23
- 6 mo ago #158 2025-11-24
- 9 mo ago #146 2025-08-25
- 12 mo ago #138 2025-05-26
Jesper de Jong
- Current #109 2026-05-18
- 3 mo ago #89 2026-02-23
- 6 mo ago #76 2025-11-24
- 9 mo ago #83 2025-08-25
- 12 mo ago #88 2025-05-26
Player Metrics
Stan Wawrinka
Jesper de Jong
Recent Matches
Stan Wawrinka
- Last Match: vs Alex Michelsen (0-2) clay Geneva 104 min
- 2nd Last Match: vs Raul Brancaccio (2-1) clay Geneva 128 min
- 3rd Last Match: vs Stefano Travaglia (2-1) clay Rome 138 min
- 4th Last Match: vs Cameron Norrie (1-2) clay Barcelona 153 min
- 5th Last Match: vs Sebastian Baez (0-2) clay Monte Carlo 107 min
Jesper de Jong
- Last Match: vs Michael Zheng (0-2) clay Roland Garros 174 min
- 2nd Last Match: vs Liam Draxl (2-1) clay Roland Garros 174 min
- 3rd Last Match: vs Nuno Borges (0-2) clay Rome 61 min
- 4th Last Match: vs Hugo Dellien (2-1) clay Rome 179 min
- 5th Last Match: vs Pedro Martinez (2-0) clay Rome 149 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 BO5
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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