Us Open NY, U.S.A. Hard Grand Slam Round of 32

Zizou Bergs vs Botic van de Zandschulp: AI Prediction | Games, Spread, Aces & Double Faults

Zizou Bergs

Rank: #35
36%
VS

Botic van de Zandschulp

Rank: #71
64%
Expected Total Games: 38.2
Predicted Winner: Botic van de Zandschulp

Why the Model Favors Botic van de Zandschulp

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

Surface fit +3.1 Botic van de Zandschulp
Serve & return game +3.0 Botic van de Zandschulp
Recent form +2.6 Botic van de Zandschulp
Overall record & opposition quality +2.6 Botic van de Zandschulp
Age +1.5 Zizou Bergs

Starting from an even matchup, these factors move the model to 64% for Botic van de Zandschulp. 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: 60.8
ELO Rating: 1728.5
Glicko2 Rating: 1698.3
Current Fatigue (minutes): 348.0
Surface Strength:
Hard: 25.2
Clay: 10.7
Grass: 20.9
Serve Rating: 96.0
Return Rating: 88.0

Botic van de Zandschulp

Form Index: 66.1
ELO Rating: 1769.8
Glicko2 Rating: 1748.2
Current Fatigue (minutes): 348.0
Surface Strength:
Hard: 33.8
Clay: 15.4
Grass: 10.1
Serve Rating: 95.3
Return Rating: 88.7

Recent Matches

Zizou Bergs

  • Last Match: vs Jesper de Jong (3-1) hard Us Open 174 min
  • 2nd Last Match: vs Carlos Taberner (3-1) hard Us Open 174 min
  • 3rd Last Match: vs Daniel Merida (0-2) hard Cincinnati 79 min
  • 4th Last Match: vs Ben Shelton (0-2) hard Toronto 64 min
  • 5th Last Match: vs Sebastian Baez (2-1) hard Toronto 110 min

Botic van de Zandschulp

  • Last Match: vs Alex de Minaur (3-0) hard Us Open 174 min
  • 2nd Last Match: vs Jan Choinski (3-0) hard Us Open 174 min
  • 3rd Last Match: vs Benjamin Bonzi (0-2) hard Winston Salem 125 min
  • 4th Last Match: vs Luciano Darderi (2-0) hard Winston Salem 68 min
  • 5th Last Match: vs Adolfo Daniel Vallejo (2-0) hard Winston Salem 70 min

Head-to-Head (Last 2 Seasons)

0
Zizou Bergs
vs
0
Botic van de Zandschulp
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

This Round of 32 match at the 2026 US Open in New York is on hard courts in a Grand Slam setting. The model favors Botic van de Zandschulp to win, with a 63.83% probability versus a 36.17% chance for Zizou Bergs. The matchup is projected to produce about 38.2 total games.

Match Analysis

The model’s edge for van de Zandschulp comes mainly from surface fit and the serve and return profile. Botic posts a higher surface strength index on hard courts (33.82 versus Bergs 25.25), which contributes the largest single shift toward him. The serve and return component also favors Botic, reflecting a slightly stronger integrated profile despite near parity in raw serve and return indices. Botic’s Elo sits at 1769.77, above Bergs at 1728.45. His form index is also stronger at 66.13 compared with Bergs 60.77. Bergs carries the higher tour ranking at 35 versus Botic 71, and age slightly nudges in Bergs favor, but those factors are smaller influences. Fatigue is identical for both players at 348 minutes on court this tournament. Mean serve indices are nearly even, 95.96 for Bergs and 95.25 for van de Zandschulp, so there is no large serve gap to exploit. Return indices are similarly close, 88.03 for Bergs and 88.70 for Botic. Over their last three matches Bergs has two hard court wins at the US Open with longer matches earlier in the event, and a loss in Cincinnati. Van de Zandschulp arrives with two straight set wins at the US Open, including a 3-0 win most recently, and a prior loss in Winston Salem.

Total Games Predictions

🎾
Expected Total Games in Match 38.2 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 Botic van de Zandschulp. 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 Botic van de Zandschulp. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Zizou Bergs - Botic van de Zandschulp) -2.0 Most likely spread: -3 (Botic van de Zandschulp wins 3 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

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

Probability of spread ≤ X

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

Aces and Double Faults Predictions

The aces prediction for this match is 17.33 total, with predicted aces of 8.89 for Bergs and 8.61 for van de Zandschulp. The double faults prediction is 10.78 total, with expected double faults split 5.62 for Bergs and 5.18 for Botic. Hard courts typically yield a balanced number of aces and do not heavily favor one player here given the similar serve ratings. The per player ace projections show Bergs 8.89 and Botic 8.61, reflecting near parity on serve.
🎯
Expected Total Aces 17.3 Most likely: 15 aces Per player: Zizou Bergs 8.9 + Botic van de Zandschulp 8.6
Expected Total Double Faults 10.8 Most likely: 9 double faults Per player: Zizou Bergs 5.6 + Botic van de Zandschulp 5.2

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

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

🎯 Aces by Player

Zizou Bergs

Expected 8.9 aces

Probability distribution for the aces Zizou Bergs serves in this match.
Botic van de Zandschulp

Expected 8.6 aces

Probability distribution for the aces Botic van de Zandschulp 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 Botic van de Zandschulp. 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 Botic van de Zandschulp. The curve shows the cumulative probability for each double faults threshold.

Double Faults by Player

Zizou Bergs

Expected 5.6 double faults

Probability distribution for the double faults Zizou Bergs serves in this match.
Botic van de Zandschulp

Expected 5.2 double faults

Probability distribution for the double faults Botic van de Zandschulp serves in this match.

🎯 Match Format Predictions

Tiebreak Likelihood

Probability that any tiebreak is played in this match

45.3% Predicted: No tiebreak

Exact Score Distribution BO5

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

0-3 Most likely set score (28.3%)
Probability distribution of the final set score from Zizou Bergs's perspective. Format: BO5.

Final Prediction

Van de Zandschulp’s advantage is driven primarily by surface fit, which the model identifies as the top factor. Watch how both players handle return games and short ball exchanges on the hard court, as breaking momentum early could decide a relatively tight encounter.

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