Us Open NY, U.S.A. Hard Grand Slam Finals

Alexander Zverev vs Ben Shelton: AI Prediction | Games, Spread, Aces & Double Faults

Alexander Zverev

Rank: #2
58%
VS

Ben Shelton

Rank: #9
42%
Expected Total Games: 36.1
Predicted Winner: Alexander Zverev

Why the Model Favors Alexander Zverev

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

Recent form +4.5 Alexander Zverev
Surface fit +3.7 Alexander Zverev
Overall record & opposition quality +2.6 Alexander Zverev
Recent record by level +2.5 Alexander Zverev
Overall strength +2.4 Alexander Zverev

Starting from an even matchup, these factors move the model to 58% for Alexander Zverev. Computed with gradient-based attribution on our neural network, not editorial opinion. How to read this →

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Player Metrics

Alexander Zverev

Form Index: 79.4
ELO Rating: 2111.2
Glicko2 Rating: 2072.6
Current Fatigue (minutes): 1044.0
Surface Strength:
Hard: 57.6
Clay: 57.1
Grass: 48.7
Serve Rating: 97.5
Return Rating: 89.9

Ben Shelton

Form Index: 91.3
ELO Rating: 2138.3
Glicko2 Rating: 1943.7
Current Fatigue (minutes): 1044.0
Surface Strength:
Hard: 61.8
Clay: 27.7
Grass: 37.0
Serve Rating: 96.9
Return Rating: 85.9

Recent Matches

Alexander Zverev

  • Last Match: vs Karen Khachanov (3-0) hard Us Open 174 min
  • 2nd Last Match: vs Botic van de Zandschulp (3-0) hard Us Open 174 min
  • 3rd Last Match: vs Luciano Darderi (3-0) hard Us Open 174 min
  • 4th Last Match: vs Alejandro Tabilo (3-0) hard Us Open 174 min
  • 5th Last Match: vs Quentin Halys (3-2) hard Us Open 174 min

Ben Shelton

Head-to-Head (Last 2 Seasons)

3
Alexander Zverev
vs
0
Ben Shelton
Hard
1 - 0
Clay
1 - 0
Grass
1 - 0

Key Prediction Insights

The 2026 US Open final in New York will be contested on hard courts in a grand slam title match between Alexander Zverev and Ben Shelton. The model favors Alexander Zverev to win with a 58.37% probability versus 41.63% for Ben Shelton, and it projects about 36.11 total games in the match.

Match Analysis

The model’s edge for Zverev comes mainly from recent form and surface fit. Recent form contributes the largest boost toward Zverev because his three most recent matches at this event were dominant straight set wins. Zverev is ranked 2 with a form index of 79.37 and an Elo of 2111.18. He has recorded three 3-0 victories at this US Open and accumulated 1,044 minutes on court. His surface strength index is 57.60, his mean serve index is 97.49, and his mean return index is 89.86. Ben Shelton supplies a strong counterpoint. He is ranked 9 with a higher form index of 91.30 and a slightly higher Elo at 2138.32. Shelton also has 1,044 minutes on court and a surface strength index of 61.83, with a mean serve index of 96.94 and a mean return index of 85.92. The model still leans to Zverev on overall record and recent record by level because Zverev’s wins at this event came in straight sets, whereas Shelton’s path included a 3-2 and a 3-1 match. Overall strength and opposition quality also tilt modestly toward Zverev in the aggregated model factors. Recent form summary. Zverev: three straight 3-0 wins at the US Open. Shelton: three wins including a 3-0, a 3-1, and a 3-2, showing resilience but more contested matches.

Total Games Predictions

🎾
Expected Total Games in Match 36.1 Most likely outcome: 34 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Alexander Zverev versus Ben Shelton. 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 Alexander Zverev versus Ben Shelton. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Alexander Zverev - Ben Shelton) +1.4 Most likely spread: +1 (Alexander Zverev wins 1 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Alexander Zverev versus Ben Shelton. Positive values indicate Alexander Zverev winning more games, negative values indicate Ben Shelton winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Alexander Zverev versus Ben Shelton. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction for the final is 21.99 total, with predicted aces of 12.05 for Zverev and 10.71 for Shelton. The double faults prediction totals 6.37, split as 3.07 for Zverev and 3.30 for Shelton. Hard courts are medium paced with a consistent bounce, so these expected aces and expected double faults fit a balanced serving contest rather than an extreme serving surface. The mean serve indices are close, so the per player ace projections are comparable: 12.05 for Zverev and 10.71 for Shelton.
🎯
Expected Total Aces 22.0 Most likely: 20 aces Per player: Alexander Zverev 12.1 + Ben Shelton 10.7
Expected Total Double Faults 6.4 Most likely: 5 double faults Per player: Alexander Zverev 3.1 + Ben Shelton 3.3

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Alexander Zverev versus Ben Shelton. 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 Alexander Zverev versus Ben Shelton. The curve shows the cumulative probability for each aces threshold.

🎯 Aces by Player

Alexander Zverev

Expected 12.1 aces

Probability distribution for the aces Alexander Zverev serves in this match.
Ben Shelton

Expected 10.7 aces

Probability distribution for the aces Ben Shelton serves in this match.

Double Faults Probability Distribution

Distribution

Probability of each double fault count outcome

Probability distribution chart for double faults in Alexander Zverev versus Ben Shelton. 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 Alexander Zverev versus Ben Shelton. The curve shows the cumulative probability for each double faults threshold.

Double Faults by Player

Alexander Zverev

Expected 3.1 double faults

Probability distribution for the double faults Alexander Zverev serves in this match.
Ben Shelton

Expected 3.3 double faults

Probability distribution for the double faults Ben Shelton serves in this match.

🎯 Match Format Predictions

Tiebreak Likelihood

Probability that any tiebreak is played in this match

60.0% Predicted: Tiebreak likely

Exact Score Distribution BO5

Probability of each set-by-set outcome (Alexander Zverev's perspective)

3-0 Most likely set score (28.4%)
Probability distribution of the final set score from Alexander Zverev's perspective. Format: BO5.

Final Prediction

Zverev’s edge is driven most by the model’s top factor, recent form, reflected in his string of straight-set wins at this US Open. The key factor to watch will be return performance early on, since Zverev’s return index and Shelton’s serve will likely decide the tight service games that determine the match length.

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