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

Taylor Fritz vs Francisco Cerundolo: AI Prediction | Games, Spread, Aces & Double Faults

Taylor Fritz

Rank: #10
72%
VS

Francisco Cerundolo

Rank: #25
28%
Expected Total Games: 36.8
Predicted Winner: Taylor Fritz

Why the Model Favors Taylor Fritz

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

Serve & return game +12.4 Taylor Fritz
Recent form +6.9 Taylor Fritz
Overall strength +3.6 Taylor Fritz
Surface fit +0.7 Taylor Fritz

Starting from an even matchup, these factors move the model to 72% 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: 66.9
ELO Rating: 1918.6
Glicko2 Rating: 1920.1
Current Fatigue (minutes): 348.0
Surface Strength:
Hard: 42.0
Clay: 21.6
Grass: 46.7
Serve Rating: 98.4
Return Rating: 88.3

Francisco Cerundolo

Form Index: 41.7
ELO Rating: 1765.4
Glicko2 Rating: 1829.3
Current Fatigue (minutes): 348.0
Surface Strength:
Hard: 35.6
Clay: 27.6
Grass: 20.4
Serve Rating: 95.2
Return Rating: 90.1

Recent Matches

Taylor Fritz

Francisco Cerundolo

Head-to-Head (Last 2 Seasons)

0
Taylor Fritz
vs
0
Francisco Cerundolo
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

At the 2026 US Open in New York, Round of 32 on hard courts, Taylor Fritz is favored to advance over Francisco Cerundolo. The model projects Fritz to win with a 71.81% probability versus 28.19% for Cerundolo. The matchup is expected to produce about 36.84 total games.

Match Analysis

The model’s edge for Fritz comes mainly from his superior serve and return game, followed by stronger recent form and overall strength. Fritz posts a very high mean serve index of 98.37 and a strong mean return index of 88.27, which underpins the 12.4 percentage point tilt toward him on serve and return. Cerundolo shows credible return numbers as well with a mean return index of 90.11, but his overall Elo of 1765.43 and form index of 41.66 lag behind Fritz’s Elo of 1918.58 and form index of 66.91, which is consistent with the additional 6.9 and 3.6 point model advantages for recent form and overall strength. Both players carry identical reported fatigue from the tournament at 348 minutes on court. Fritz’s surface strength index is 42.03 compared with Cerundolo’s 35.60, a modest surface advantage for Fritz that aligns with the small model boost for surface fit. Over the last three matches Fritz has two straight dominant 3-set wins at the US Open and a loss in Cincinnati. Cerundolo arrives with two wins at Flushing Meadows, including a five-set victory over Jan-Lennard Struff and a straight sets win over Filip Misolic, plus a prior loss in Cincinnati.

Total Games Predictions

🎾
Expected Total Games in Match 36.8 Most likely outcome: 35 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

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

Games Spread Predictions

📈
Expected Games Spread (Taylor Fritz - Francisco Cerundolo) +2.3 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 Francisco Cerundolo. Positive values indicate Taylor Fritz winning more games, negative values indicate Francisco Cerundolo winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

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

Aces and Double Faults Predictions

The aces prediction for the match is 19.77 total, with predicted aces of 13.63 for Fritz and 6.57 for Cerundolo. The expected double faults for the match are 7.54 in total, split as 3.25 for Fritz and 4.28 for Cerundolo. On a medium-paced hard court, this level of aces fits the surface profile where big serving and solid returning both pay dividends. The per player ace projections quantify the serve gap with Fritz at about 13.6 aces and Cerundolo at about 6.6 aces.
🎯
Expected Total Aces 19.8 Most likely: 17 aces Per player: Taylor Fritz 13.6 + Francisco Cerundolo 6.6
Expected Total Double Faults 7.5 Most likely: 6 double faults Per player: Taylor Fritz 3.2 + Francisco Cerundolo 4.3

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

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

🎯 Aces by Player

Taylor Fritz

Expected 13.6 aces

Probability distribution for the aces Taylor Fritz serves in this match.
Francisco Cerundolo

Expected 6.6 aces

Probability distribution for the aces Francisco Cerundolo 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 Francisco Cerundolo. 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 Francisco Cerundolo. The curve shows the cumulative probability for each double faults threshold.

Double Faults by Player

Taylor Fritz

Expected 3.2 double faults

Probability distribution for the double faults Taylor Fritz serves in this match.
Francisco Cerundolo

Expected 4.3 double faults

Probability distribution for the double faults Francisco Cerundolo serves in this match.

🎯 Match Format Predictions

Tiebreak Likelihood

Probability that any tiebreak is played in this match

51.7% Predicted: Tiebreak likely

Exact Score Distribution BO5

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

3-0 Most likely set score (42.5%)
Probability distribution of the final set score from Taylor Fritz's perspective. Format: BO5.

Final Prediction

Fritz’s advantage is driven first and foremost by the serve and return game. Watch how well Fritz converts free points off serve and whether Cerundolo can extend rallies with his high return index. If Fritz sustains serving pressure early, he should control the match.

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