Jesper de Jong vs Joao Fonseca: AI Prediction | Games, Spread, Aces & Double Faults
Why the Model Favors Joao Fonseca
The factors that drove this prediction, measured in win-probability points.
Starting from an even matchup, these factors move the model to 70% for Joao Fonseca. Computed with gradient-based attribution on our neural network — not editorial opinion. How to read this →
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Set it upRanking Trends
Jesper de Jong
- Current #73 2026-06-29
- 3 mo ago #99 2026-03-30
- 6 mo ago #74 2025-12-29
- 9 mo ago #81 2025-09-29
- 12 mo ago #106 2025-06-30
Joao Fonseca
- Current #27 2026-06-29
- 3 mo ago #40 2026-03-30
- 6 mo ago #24 2025-12-29
- 9 mo ago #43 2025-09-29
- 12 mo ago #54 2025-06-30
Player Metrics
Jesper de Jong
Joao Fonseca
Recent Matches
Jesper de Jong
- Last Match: vs Rinky Hijikata (3-2) grass Wimbledon 174 min
- 2nd Last Match: vs Alexander Zverev (0-3) clay Roland Garros 174 min
- 3rd Last Match: vs Karen Khachanov (3-2) clay Roland Garros 174 min
- 4th Last Match: vs Federico Cina (3-0) clay Roland Garros 174 min
- 5th Last Match: vs Stan Wawrinka (3-1) clay Roland Garros 174 min
Joao Fonseca
- Last Match: vs Roberto Bautista Agut (3-0) grass Wimbledon 174 min
- 2nd Last Match: vs Yannick Hanfmann (0-2) grass Halle 65 min
- 3rd Last Match: vs Jakub Mensik (0-3) clay Roland Garros 174 min
- 4th Last Match: vs Casper Ruud (3-1) clay Roland Garros 174 min
- 5th Last Match: vs Novak Djokovic (3-2) clay Roland Garros 174 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 (Jesper de Jong's perspective)
Full distributions as structured data (JSON or CSV)
Final Prediction
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