Us Open NY, U.S.A. Hard Grand Slam Round of 64

Zizou Bergs vs Jesper de Jong: AI Prediction | Games, Spread, Aces & Double Faults

Zizou Bergs

Rank: #35
53%
VS

Jesper de Jong

Rank: #99
47%
Expected Total Games: 37.7
Predicted Winner: Zizou Bergs

Why the Model Favors Zizou Bergs

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

Overall strength +2.7 Zizou Bergs
Serve & return game +1.8 Zizou Bergs
Recent record by level +0.9 Zizou Bergs
Fatigue & recent workload +0.6 Zizou Bergs
Age +0.6 Jesper de Jong

Starting from an even matchup, these factors move the model to 53% for Zizou Bergs. Computed with gradient-based attribution on our neural network, not editorial opinion. How to read this →

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Player Metrics

Zizou Bergs

Form Index: 51.1
ELO Rating: 1692.4
Glicko2 Rating: 1687.8
Current Fatigue (minutes): 174.0
Surface Strength:
Hard: 22.4
Clay: 10.7
Grass: 20.9
Serve Rating: 96.0
Return Rating: 88.0

Jesper de Jong

Form Index: 45.9
ELO Rating: 1656.1
Glicko2 Rating: 1570.4
Current Fatigue (minutes): 174.0
Surface Strength:
Hard: 19.3
Clay: 22.4
Grass: 9.0
Serve Rating: 95.0
Return Rating: 86.0

Recent Matches

Zizou Bergs

Jesper de Jong

Head-to-Head (Last 2 Seasons)

0
Zizou Bergs
vs
0
Jesper de Jong
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

At the 2026 US Open in New York, round of 64 on hard courts, Zizou Bergs is narrowly favored over Jesper de Jong. The model gives Bergs a 52.82 percent chance to win versus 47.18 percent for de Jong. The match is expected to be competitive, with a projected total of about 37.66 games.

Match Analysis

The model’s edge for Bergs comes mainly from overall strength and the serve and return game. Overall strength contributes about 2.7 percentage points toward Bergs, supported by his higher rank at 35 versus de Jong at 99, a superior Elo of 1692.37 against 1656.06, and a stronger form index (51.09 versus 45.93). The serve and return factor adds a further 1.8 points to Bergs, consistent with slightly better mean serve and return indexes (serve 96.03 and return 88.00 for Bergs, versus serve 94.95 and return 86.03 for de Jong). Those edges are modest rather than overwhelming, but they tilt the balance. Fatigue and recent workload also lean to Bergs by 0.6 points, despite both players recording equal time on court in this tournament so far at 174 minutes. Recent record by level gives Bergs a small boost of 0.9 points, while age provides a 0.6 point drift toward de Jong. Looking at form, each player arrives with one main event win inside the last three matches. Bergs beat Carlos Taberner in a four set US Open win that lasted 174 minutes, but he had earlier exits in Cincinnati and Toronto. De Jong also won a long five setter at the Open over Francesco Passaro, and he too followed that with two earlier losses at lower level events.

Total Games Predictions

🎾
Expected Total Games in Match 37.7 Most likely outcome: 36 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Zizou Bergs versus Jesper de Jong. 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 Zizou Bergs versus Jesper de Jong. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Zizou Bergs - Jesper de Jong) +0.1 Most likely spread: 0 (even number of games won)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

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

Probability of spread ≤ X

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

Aces and Double Faults Predictions

The aces prediction for this hard court match is 17.73 total, with predicted aces of 9.08 for Bergs and 8.84 for de Jong. The expected double faults total is 11.27, split into 5.88 for Bergs and 5.41 for de Jong. Hard courts favor a moderate number of aces compared with grass or clay, so these predicted aces reflect a balanced serving matchup rather than one dominated by a single big server. Because the serve ratings are close, the per player ace projections are nearly even, with Bergs slightly ahead at 9.08 versus 8.84 for de Jong.
🎯
Expected Total Aces 17.7 Most likely: 15 aces Per player: Zizou Bergs 9.1 + Jesper de Jong 8.8
Expected Total Double Faults 11.3 Most likely: 10 double faults Per player: Zizou Bergs 5.9 + Jesper de Jong 5.4

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Zizou Bergs versus Jesper de Jong. 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 Zizou Bergs versus Jesper de Jong. The curve shows the cumulative probability for each aces threshold.

🎯 Aces by Player

Zizou Bergs

Expected 9.1 aces

Probability distribution for the aces Zizou Bergs serves in this match.
Jesper de Jong

Expected 8.8 aces

Probability distribution for the aces Jesper de Jong serves in this match.

Double Faults Probability Distribution

Distribution

Probability of each double fault count outcome

Probability distribution chart for double faults in Zizou Bergs versus Jesper de Jong. The chart shows the predicted probability for each double-fault count.
Cumulative Probability (CDF)

Probability of double faults ≤ X

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

Double Faults by Player

Zizou Bergs

Expected 5.9 double faults

Probability distribution for the double faults Zizou Bergs serves in this match.
Jesper de Jong

Expected 5.4 double faults

Probability distribution for the double faults Jesper de Jong serves in this match.

🎯 Match Format Predictions

Tiebreak Likelihood

Probability that any tiebreak is played in this match

49.9% Predicted: No tiebreak

Exact Score Distribution BO5

Probability of each set-by-set outcome (Zizou Bergs's perspective)

3-0 Most likely set score (24.6%)
Probability distribution of the final set score from Zizou Bergs's perspective. Format: BO5.

Final Prediction

Bergs’ marginal advantage comes primarily from the model’s overall strength metric, backed by higher ranking and Elo. The key factor to watch will be the serve and return exchanges, where small edges on serve placement and return consistency could decide a tight, late sets outcome.

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