Wimbledon Great Britain Grass Grand Slam Round of 64

Jesper de Jong vs Joao Fonseca: AI Prediction | Games, Spread, Aces & Double Faults

Jesper de Jong

Rank: #73
30%
VS

Joao Fonseca

Rank: #27
70%
Expected Total Games: 36.3
Predicted Winner: Joao Fonseca

Why the Model Favors Joao Fonseca

The factors that drove this prediction, measured in win-probability points.

Recent form +6.1 Joao Fonseca
Overall strength +3.7 Joao Fonseca
Age +2.7 Joao Fonseca
Surface fit +2.6 Joao Fonseca
Overall record & opposition quality +2.4 Joao Fonseca

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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Player Metrics

Jesper de Jong

Form Index: 63.4
ELO Rating: 1703.6
Glicko2 Rating: 1595.3
Current Fatigue (minutes): 174.0
Surface Strength:
Hard: 16.8
Clay: 25.1
Grass: 11.3
Serve Rating: 95.9
Return Rating: 93.0

Joao Fonseca

Form Index: 67.2
ELO Rating: 1847.3
Glicko2 Rating: 1831.7
Current Fatigue (minutes): 174.0
Surface Strength:
Hard: 35.3
Clay: 36.0
Grass: 20.3
Serve Rating: 96.4
Return Rating: 87.6

Recent Matches

Jesper de Jong

Joao Fonseca

Head-to-Head (Last 2 Seasons)

0
Jesper de Jong
vs
0
Joao Fonseca
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Wimbledon, Round of 64 on grass: Joao Fonseca is the model favorite here, projected to take the match with a 69.75% chance versus Jesper de Jong’s 30.25%. The model expects a relatively quick affair on grass with about 36.3 total games.

Match Analysis

The model’s edge for Fonseca comes mainly from recent form and overall strength — Fonseca carries a slightly higher form index (67.17 vs 63.45) and a notably stronger Elo (1847 vs 1703), both nudging the prediction toward him. Age and surface fit also contribute; Fonseca’s surface strength index is 20.34 compared with de Jong’s 11.34, a useful advantage on fast grass. Both players show identical cumulative fatigue from the tournament (174 minutes), so freshness shouldn't be a differentiator. Ranking and stylistic metrics underline the gap: Fonseca is ranked 27 to de Jong’s 73, and the model credits overall record and opposition quality as further support for Fonseca. Serve profiles are comparable — mean serve indexes are nearly identical — but de Jong holds a clear edge in returning (mean return 92.99 vs Fonseca’s 87.59), a difference greater than five points that could make him dangerous on return games. Recent form: de Jong reached this round after a five-set win over Rinky Hijikata and has mixed results on clay against top opponents; Fonseca arrives off a straight-sets Wimbledon win over Roberto Bautista Agut but had two earlier losses (Halle and Roland Garros), making his recent sequence uneven but effective on grass.

Total Games Predictions

🎾
Expected Total Games in Match 36.3 Most likely outcome: 36 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Jesper de Jong versus Joao Fonseca. The X-axis shows possible total games values and the Y-axis shows the predicted probability percentage for each outcome.
Cumulative Probability (CDF)

Probability of total games ≤ X

Cumulative distribution function chart for total games in Jesper de Jong versus Joao Fonseca. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Jesper de Jong - Joao Fonseca) -2.4 Most likely spread: -3 (Joao Fonseca wins 3 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Jesper de Jong versus Joao Fonseca. Positive values indicate Jesper de Jong winning more games, negative values indicate Joao Fonseca winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Jesper de Jong versus Joao Fonseca. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction sits at 18.77 for the match and the double faults prediction at 8.19. Grass typically boosts ace counts, so the predicted aces reflect the surface’s faster, lower bounce. Neither player posts a significantly higher serve rating, so predicted aces will be shared; de Jong’s superior return could slightly suppress Fonseca’s ace opportunities, affecting the predicted aces and expected double faults balance.
🎯
Expected Total Aces 18.8 Most likely: 18 aces
Expected Total Double Faults 8.2 Most likely: 8 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Jesper de Jong versus Joao Fonseca. Higher ace counts are more likely on faster surfaces like grass.
Cumulative Probability (CDF)

Probability of aces ≤ X

Cumulative distribution function chart for total aces in Jesper de Jong versus Joao Fonseca. The curve shows the cumulative probability for each aces threshold.

Double Faults Probability Distribution

Distribution

Probability of each double fault count outcome

Probability distribution chart for double faults in Jesper de Jong versus Joao Fonseca. Clay surface matches tend to produce more double faults due to fatigue in longer rallies.
Cumulative Probability (CDF)

Probability of double faults ≤ X

Cumulative distribution function chart for double faults in Jesper de Jong versus Joao Fonseca. The curve shows the cumulative probability for each double faults threshold.

🎯 Match Format Predictions

Tiebreak Likelihood

Probability that any tiebreak is played in this match

47.0% Predicted: No tiebreak

Exact Score Distribution BO5

Probability of each set-by-set outcome (Jesper de Jong's perspective)

0-3 Most likely set score (34.9%)
Probability distribution of the final set score from Jesper de Jong's perspective. Format: BO5.

Final Prediction

Fonseca’s edge is driven first and foremost by recent form and superior overall strength (Elo and ranking), with surface fit adding support. Watch de Jong’s returning — if his high return index neutralizes Fonseca’s serve early, the contest could stretch beyond the model’s favored script.

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