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

Alexander Bublik vs Tommy Paul: AI Prediction | Games, Spread, Aces & Double Faults

Alexander Bublik

Rank: #16
37%
VS

Tommy Paul

Rank: #21
63%
Expected Total Games: 37.4
Predicted Winner: Tommy Paul

Why the Model Favors Tommy Paul

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

Recent record by level +6.4 Tommy Paul
Surface fit +3.9 Tommy Paul
Overall strength +1.6 Tommy Paul
Head-to-head +1.6 Alexander Bublik
Serve & return game +1.3 Tommy Paul

Starting from an even matchup, these factors move the model to 63% for Tommy Paul. Computed with gradient-based attribution on our neural network, not editorial opinion. How to read this →

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Player Metrics

Alexander Bublik

Form Index: 61.5
ELO Rating: 1783.1
Glicko2 Rating: 1815.3
Current Fatigue (minutes): 348.0
Surface Strength:
Hard: 37.1
Clay: 29.3
Grass: 36.1
Serve Rating: 97.2
Return Rating: 88.0

Tommy Paul

Form Index: 67.4
ELO Rating: 1874.3
Glicko2 Rating: 1882.7
Current Fatigue (minutes): 348.0
Surface Strength:
Hard: 40.0
Clay: 37.5
Grass: 22.0
Serve Rating: 95.9
Return Rating: 89.5

Recent Matches

Alexander Bublik

Tommy Paul

Head-to-Head (Last 2 Seasons)

1
Alexander Bublik
vs
1
Tommy Paul
Hard
1 - 1
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

At the US Open in New York, Round of 32 on hard courts, Tommy Paul is the model pick over Alexander Bublik. The prediction gives Paul a 63.38% chance to win versus 36.62% for Bublik, with an expected total of 37.41 games in the match.

Match Analysis

The model’s edge for Paul comes mainly from recent record by level, which contributed 6.4 percentage points toward him, and from better surface fit, which added 3.9 points. That aligns with Paul’s higher form index at 67.40 compared with Bublik’s 61.52, and Paul’s stronger Elo rating of 1874.26 versus Bublik’s 1783.15. The overall strength metric also nudges the prediction 1.6 points toward Paul. Bublik does get 1.6 percentage points from head-to-head factors according to the explainability output, so the matchup is not one-sided on past meetings. Both players arrive with identical accumulated fatigue of 348 minutes on court in this tournament. Bublik is ranked 16 and Paul 21. Surface strength indices are close, 37.09 for Bublik and 39.99 for Paul, showing only a small advantage for Paul on hard courts. Serve and return metrics are comparable, with mean serve indices of 97.22 for Bublik and 95.92 for Paul, and mean return indices of 87.99 and 89.46 respectively. The serve and return component slightly favors Paul by 1.3 points in the model. Over their last three matches, Bublik has two recent US Open wins (3-0 over Mannarino, 3-1 over J.J. Wolf) and a loss on clay at Kitzbuhel. Paul also has two US Open wins (each 3-1) and a recent loss in Cincinnati.

Total Games Predictions

🎾
Expected Total Games in Match 37.4 Most likely outcome: 36 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

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

Games Spread Predictions

📈
Expected Games Spread (Alexander Bublik - Tommy Paul) -1.4 Most likely spread: -2 (Tommy Paul wins 2 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Alexander Bublik versus Tommy Paul. Positive values indicate Alexander Bublik winning more games, negative values indicate Tommy Paul winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Alexander Bublik versus Tommy Paul. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction shows an expected match total of 21.17 aces, with Bublik responsible for about 12.72 and Paul for 9.06. The predicted aces reflect a medium-paced hard court where big servers still find opportunities but not as frequently as on grass. The double faults prediction gives 8.57 expected double faults overall, split roughly 5.07 for Bublik and 3.51 for Paul. These per player projections underline Bublik’s higher ace output alongside a higher expected double fault count.
🎯
Expected Total Aces 21.2 Most likely: 19 aces Per player: Alexander Bublik 12.7 + Tommy Paul 9.1
Expected Total Double Faults 8.6 Most likely: 7 double faults Per player: Alexander Bublik 5.1 + Tommy Paul 3.5

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Alexander Bublik versus Tommy Paul. 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 Bublik versus Tommy Paul. The curve shows the cumulative probability for each aces threshold.

🎯 Aces by Player

Alexander Bublik

Expected 12.7 aces

Probability distribution for the aces Alexander Bublik serves in this match.
Tommy Paul

Expected 9.1 aces

Probability distribution for the aces Tommy Paul serves in this match.

Double Faults Probability Distribution

Distribution

Probability of each double fault count outcome

Probability distribution chart for double faults in Alexander Bublik versus Tommy Paul. 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 Bublik versus Tommy Paul. The curve shows the cumulative probability for each double faults threshold.

Double Faults by Player

Alexander Bublik

Expected 5.1 double faults

Probability distribution for the double faults Alexander Bublik serves in this match.
Tommy Paul

Expected 3.5 double faults

Probability distribution for the double faults Tommy Paul serves in this match.

🎯 Match Format Predictions

Tiebreak Likelihood

Probability that any tiebreak is played in this match

56.1% Predicted: Tiebreak likely

Exact Score Distribution BO5

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

0-3 Most likely set score (28.0%)
Probability distribution of the final set score from Alexander Bublik's perspective. Format: BO5.

Final Prediction

Paul’s edge is driven largely by his recent results at comparable events and slightly better surface fit. Watch how well Paul handles Bublik’s serving threat and whether Bublik’s higher projected ace total comes with costly double faults.

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