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

Alexander Zverev vs Alejandro Tabilo: AI Prediction | Games, Spread, Aces & Double Faults

Alexander Zverev

Rank: #2
79%
VS

Alejandro Tabilo

Rank: #28
21%
Expected Total Games: 36.2
Predicted Winner: Alexander Zverev

Why the Model Favors Alexander Zverev

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

Overall strength +9.7 Alexander Zverev
Surface fit +8.8 Alexander Zverev
Recent record by level +7.6 Alexander Zverev
Overall record & opposition quality +2.6 Alexander Zverev
Serve & return game +1.9 Alexander Zverev

Starting from an even matchup, these factors move the model to 79% 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: 61.9
ELO Rating: 2037.5
Glicko2 Rating: 2063.2
Current Fatigue (minutes): 348.0
Surface Strength:
Hard: 51.4
Clay: 57.1
Grass: 48.7
Serve Rating: 97.6
Return Rating: 89.8

Alejandro Tabilo

Form Index: 55.6
ELO Rating: 1738.3
Glicko2 Rating: 1740.6
Current Fatigue (minutes): 348.0
Surface Strength:
Hard: 31.7
Clay: 20.7
Grass: 6.1
Serve Rating: 96.2
Return Rating: 86.3

Recent Matches

Alexander Zverev

  • Last Match: vs Quentin Halys (3-2) hard Us Open 174 min
  • 2nd Last Match: vs Lorenzo Sonego (3-2) hard Us Open 174 min
  • 3rd Last Match: vs Tommy Paul (1-2) hard Cincinnati 171 min
  • 4th Last Match: vs Terence Atmane (2-0) hard Cincinnati 129 min
  • 5th Last Match: vs Cameron Norrie (2-1) hard Cincinnati 155 min

Alejandro Tabilo

Head-to-Head (Last 2 Seasons)

0
Alexander Zverev
vs
0
Alejandro Tabilo
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

At the 2026 US Open in New York, this Round of 32 hard court match projects as a clear favorite-versus-underdog pairing in a grand slam setting. The model forecasts Alexander Zverev to win with a 79.36% probability, while Alejandro Tabilo is given a 20.64% chance. The expected total games in the match is 36.23.

Match Analysis

The model’s edge for Zverev comes mainly from overall strength (plus 9.7 percentage points) and surface fit (plus 8.8 points), supported by recent form at high level (plus 7.6 points). Zverev is the world number 2, with a higher Elo at 2037.49 and a form index of 61.92. His surface strength index on hard courts is 51.41. Tabilo sits at rank 28, Elo 1738.33, and a lower surface strength index of 31.73. Both players show identical cumulative fatigue from this tournament at 348 minutes on court, so recovery between matches should be comparable. Serve and return factors modestly favor Zverev (1.9 points). Zverev posts a mean serve index of 97.64 and a mean return index of 89.84. Tabilo’s serve index is 96.22 and return index is 86.31. The differences do not exceed the model’s 5-point flag for serve or return gaps, so the matchup should not hinge on a large serving disparity. Over their last three matches, Zverev has won two tough five-setters at the US Open after a loss in Cincinnati, showing resilience in long encounters. Tabilo has two straight 3-1 wins at the US Open following a loss in Cincinnati, indicating momentum but against lower-ranked opposition overall.

Total Games Predictions

🎾
Expected Total Games in Match 36.2 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 Alejandro Tabilo. 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 Alejandro Tabilo. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Alexander Zverev - Alejandro Tabilo) +3.6 Most likely spread: +3 (Alexander Zverev wins 3 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

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

Probability of spread ≤ X

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

Aces and Double Faults Predictions

The aces prediction for the match is 19.74 total, with predicted aces of 11.44 for Zverev and 8.7 for Tabilo. The expected double faults total is 6.83, split as 3.47 for Zverev and 3.36 for Tabilo. On a medium-paced hard court, these predicted aces and expected double faults align with a surface that rewards both power and consistent serving. Neither player shows a significantly higher serve rating by the model’s threshold, but the per player ace projections still give Zverev about 11.44 aces versus Tabilo’s 8.7.
🎯
Expected Total Aces 19.7 Most likely: 17 aces Per player: Alexander Zverev 11.4 + Alejandro Tabilo 8.7
Expected Total Double Faults 6.8 Most likely: 5 double faults Per player: Alexander Zverev 3.5 + Alejandro Tabilo 3.4

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

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

🎯 Aces by Player

Alexander Zverev

Expected 11.4 aces

Probability distribution for the aces Alexander Zverev serves in this match.
Alejandro Tabilo

Expected 8.7 aces

Probability distribution for the aces Alejandro Tabilo 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 Alejandro Tabilo. 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 Alejandro Tabilo. The curve shows the cumulative probability for each double faults threshold.

Double Faults by Player

Alexander Zverev

Expected 3.5 double faults

Probability distribution for the double faults Alexander Zverev serves in this match.
Alejandro Tabilo

Expected 3.4 double faults

Probability distribution for the double faults Alejandro Tabilo serves in this match.

🎯 Match Format Predictions

Tiebreak Likelihood

Probability that any tiebreak is played in this match

53.0% Predicted: Tiebreak likely

Exact Score Distribution BO5

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

3-0 Most likely set score (47.9%)
Probability distribution of the final set score from Alexander Zverev's perspective. Format: BO5.

Final Prediction

Zverev’s advantage is driven primarily by overall strength and a better surface fit on hard courts. Watch how his combined serve and return numbers play out early, because controlling service games and converting the few break opportunities will likely decide whether this projected three or four set affair follows the model’s expectation.

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