Us Open NY, U.S.A. Hard Grand Slam Round of 64

Taylor Fritz vs Mattia Bellucci: AI Prediction | Games, Spread, Aces & Double Faults

Taylor Fritz

Rank: #10
73%
VS

Mattia Bellucci

Rank: #96
27%
Expected Total Games: 37.8
Predicted Winner: Taylor Fritz

Why the Model Favors Taylor Fritz

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

Serve & return game +8.2 Taylor Fritz
Overall strength +6.7 Taylor Fritz
Recent record by level +5.1 Taylor Fritz
Recent form +2.5 Taylor Fritz
Surface fit +2.2 Taylor Fritz

Starting from an even matchup, these factors move the model to 73% for Taylor Fritz. Computed with gradient-based attribution on our neural network, not editorial opinion. How to read this →

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Player Metrics

Taylor Fritz

Form Index: 60.9
ELO Rating: 1904.1
Glicko2 Rating: 1915.9
Current Fatigue (minutes): 174.0
Surface Strength:
Hard: 40.9
Clay: 21.6
Grass: 46.7
Serve Rating: 98.4
Return Rating: 88.2

Mattia Bellucci

Form Index: 53.8
ELO Rating: 1643.6
Glicko2 Rating: 1652.3
Current Fatigue (minutes): 174.0
Surface Strength:
Hard: 19.2
Clay: 10.3
Grass: 18.9
Serve Rating: 95.8
Return Rating: 84.7

Recent Matches

Taylor Fritz

Mattia Bellucci

Head-to-Head (Last 2 Seasons)

1
Taylor Fritz
vs
0
Mattia Bellucci
Hard
0 - 0
Clay
0 - 0
Grass
1 - 0

Key Prediction Insights

At the 2026 US Open in New York, round of 64 on hard courts, Taylor Fritz is forecast to progress against Mattia Bellucci. The model gives Fritz a 73.12% chance to win versus 26.88% for Bellucci, with an expected total of 37.78 games in the match.

Match Analysis

The model's edge for Fritz comes mainly from the serve and return game, which shifts the probability 8.2 percentage points toward him, and from overall strength, which adds 6.7 points. Fritz brings a higher Elo at 1904.13 and a top 10 ranking, coupled with a form index of 60.90. His surface strength index on hard courts is 40.92 and his mean serve and return indexes are strong at 98.41 and 88.19 respectively. Bellucci is ranked 96 with an Elo of 1643.65 and a form index of 53.80. His surface strength index is lower at 19.16 while his mean serve and return indexes are 95.75 and 84.71. Recent record by level also favors Fritz, contributing 5.1 points to the prediction. Fritz arrives after a straight sets win at this event over Darwin Blanch and has two wins from his last three matches, the other being in Cincinnati over Christopher OConnell, with a loss to Brandon Nakashima in between. Bellucci has momentum from a straight sets opening win at the US Open over Zsombor Piros, but his results across the last three include a loss to Luciano Darderi and a win over Martin Landaluce. Fatigue is identical on the numbers provided, both showing 174 minutes played in the current tournament so physical wear is not a differentiator. Surface fit and recent form add smaller but meaningful edges to Fritz.

Total Games Predictions

🎾
Expected Total Games in Match 37.8 Most likely outcome: 36 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Taylor Fritz versus Mattia Bellucci. 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 Taylor Fritz versus Mattia Bellucci. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Taylor Fritz - Mattia Bellucci) +2.8 Most likely spread: +2 (Taylor Fritz wins 2 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Taylor Fritz versus Mattia Bellucci. Positive values indicate Taylor Fritz winning more games, negative values indicate Mattia Bellucci winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Taylor Fritz versus Mattia Bellucci. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction for the contest is 23.23 total, with predicted aces of 14.49 for Taylor Fritz and 9.82 for Mattia Bellucci. The double faults prediction is 8.42 total, with expected double faults of 3.76 for Fritz and 4.66 for Bellucci. Hard courts generally yield a moderate number of aces compared with grass or clay, which aligns with these predicted aces. Given Fritz has the higher serve index, his per player ace projection of 14.49 versus 9.82 quantifies that serving gap.
🎯
Expected Total Aces 23.2 Most likely: 22 aces Per player: Taylor Fritz 14.5 + Mattia Bellucci 9.8
Expected Total Double Faults 8.4 Most likely: 7 double faults Per player: Taylor Fritz 3.8 + Mattia Bellucci 4.7

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Taylor Fritz versus Mattia Bellucci. 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 Taylor Fritz versus Mattia Bellucci. The curve shows the cumulative probability for each aces threshold.

🎯 Aces by Player

Taylor Fritz

Expected 14.5 aces

Probability distribution for the aces Taylor Fritz serves in this match.
Mattia Bellucci

Expected 9.8 aces

Probability distribution for the aces Mattia Bellucci serves in this match.

Double Faults Probability Distribution

Distribution

Probability of each double fault count outcome

Probability distribution chart for double faults in Taylor Fritz versus Mattia Bellucci. 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 Taylor Fritz versus Mattia Bellucci. The curve shows the cumulative probability for each double faults threshold.

Double Faults by Player

Taylor Fritz

Expected 3.8 double faults

Probability distribution for the double faults Taylor Fritz serves in this match.
Mattia Bellucci

Expected 4.7 double faults

Probability distribution for the double faults Mattia Bellucci serves in this match.

🎯 Match Format Predictions

Tiebreak Likelihood

Probability that any tiebreak is played in this match

57.7% Predicted: Tiebreak likely

Exact Score Distribution BO5

Probability of each set-by-set outcome (Taylor Fritz's perspective)

3-0 Most likely set score (45.3%)
Probability distribution of the final set score from Taylor Fritz's perspective. Format: BO5.

Final Prediction

Fritz’s edge is driven chiefly by the serve and return game, supported by superior overall strength and higher Elo. Key to watch will be Fritz’s serve efficiency under pressure and whether Bellucci can convert his returns into extended rallies that test Fritz’s consistency.

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