Cincinnati OH, U.S.A. Hard Masters 1000 Round of 16

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

Alexander Zverev

Rank: #3
71%
VS

Tommy Paul

Rank: #24
29%
Expected Total Games: 24.1
Predicted Winner: Alexander Zverev

Why the Model Favors Alexander Zverev

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

Overall strength +6.9 Alexander Zverev
Recent record by level +5.7 Alexander Zverev
Serve & return game +4.4 Alexander Zverev
Surface fit +3.9 Alexander Zverev
Overall record & opposition quality +2.7 Alexander Zverev

Starting from an even matchup, these factors move the model to 71% 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: 63.1
ELO Rating: 2068.1
Glicko2 Rating: 2071.8
Current Fatigue (minutes): 284.0
Surface Strength:
Hard: 53.3
Clay: 57.1
Grass: 48.7
Serve Rating: 97.7
Return Rating: 89.9

Tommy Paul

Form Index: 55.3
ELO Rating: 1802.2
Glicko2 Rating: 1866.3
Current Fatigue (minutes): 294.0
Surface Strength:
Hard: 35.9
Clay: 37.5
Grass: 22.0
Serve Rating: 96.0
Return Rating: 89.5

Recent Matches

Alexander Zverev

Tommy Paul

Head-to-Head (Last 2 Seasons)

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

Key Prediction Insights

Cincinnati, Ohio. Round of 16 on hard court at a masters 1000 event. The model favors Alexander Zverev to win, with a 70.63% probability for Zverev and 29.37% for Tommy Paul. The match is projected to be relatively short by modern standards, with an expected total of 24.12 games.

Match Analysis

The model’s edge for Zverev comes mainly from his overall strength and recent record at this level. Zverev is ranked 3, carries an Elo of 2068.08 and posts a higher form index at 63.06. Tommy Paul is ranked 24 with an Elo of 1802.21 and a form index of 55.33. Those gaps feed the 6.9 and 5.7 percentage point boosts toward Zverev in the model. Serve and return metrics and surface fit also nudge the prediction toward Zverev, accounting for a combined 8.3 percentage points in his favor. Both players present solid service and return profiles on hard courts. Zverev’s surface strength index is 53.29, compared with Paul’s 35.93, underlining a clearer comfort for Zverev on this medium paced, consistent-bounce surface. Mean serve indices are close, 97.73 for Zverev and 95.98 for Paul, and mean return indices are similarly matched, so neither player holds a stark advantage in raw serve or return numbers. Fatigue is noteworthy for both players, with Zverev at 284 minutes and Paul at 294 minutes in this event. Over their last three matches each, Zverev is 2-1, with wins in his two Cincinnati matches and a loss in Toronto. Paul is also 2-1, including a solid Cincinnati win over Hubert Hurkacz and a recent straight sets loss in Toronto.

Total Games Predictions

🎾
Expected Total Games in Match 24.1 Most likely outcome: 24 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Alexander Zverev 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 Zverev 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 Zverev - Tommy Paul) +2.5 Most likely spread: +2 (Alexander Zverev wins 2 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Alexander Zverev versus Tommy Paul. Positive values indicate Alexander Zverev 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 Zverev versus Tommy Paul. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction is for about 15.03 total aces in the match, with a predicted aces figure reflecting strong servers on a hard court. The double faults prediction stands at roughly 4.51 expected double faults. Hard courts typically produce a moderate ace count due to the surface pace and consistent bounce. Neither player posts a significantly higher serve rating, so the predicted aces are likely split rather than skewed heavily to one player.
🎯
Expected Total Aces 15.0 Most likely: 15 aces
Expected Total Double Faults 4.5 Most likely: 4 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

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

Double Faults Probability Distribution

Distribution

Probability of each double fault count outcome

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

🎯 Match Format Predictions

Tiebreak Likelihood

Probability that any tiebreak is played in this match

47.7% Predicted: No tiebreak

Exact Score Distribution BO3

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

2-0 Most likely set score (44.8%)
Probability distribution of the final set score from Alexander Zverev's perspective. Format: BO3.

Final Prediction

Zverev’s edge stems primarily from overall strength as reflected in ranking and Elo. The key factor to watch will be how fatigue influences serving consistency and movement late in rallies, because both players arrive with substantial minutes on court.

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