Cincinnati OH, U.S.A. Hard Masters 1000 Round of 64

Mattia Bellucci vs Jakub Mensik: AI Prediction | Games, Spread, Aces & Double Faults

Mattia Bellucci

Rank: #80
24%
VS

Jakub Mensik

Rank: #17
76%
Expected Total Games: 25.7
Predicted Winner: Jakub Mensik

Why the Model Favors Jakub Mensik

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

Recent record by level +8.7 Jakub Mensik
Overall strength +4.8 Jakub Mensik
Surface fit +4.8 Jakub Mensik
Overall record & opposition quality +3.3 Jakub Mensik
Serve & return game +2.2 Jakub Mensik

Starting from an even matchup, these factors move the model to 76% for Jakub Mensik. Computed with gradient-based attribution on our neural network, not editorial opinion. How to read this →

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Player Metrics

Mattia Bellucci

Form Index: 44.1
ELO Rating: 1610.4
Glicko2 Rating: 1643.1
Current Fatigue (minutes): 124.0
Surface Strength:
Hard: 14.9
Clay: 10.3
Grass: 18.9
Serve Rating: 96.5
Return Rating: 86.4

Jakub Mensik

Form Index: 47.9
ELO Rating: 1809.5
Glicko2 Rating: 1859.1
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 38.4
Clay: 39.9
Grass: 18.9
Serve Rating: 96.2
Return Rating: 86.8

Recent Matches

Mattia Bellucci

Jakub Mensik

  • Last Match: vs Ben Shelton (0-2) hard Toronto 72 min
  • 2nd Last Match: vs Botic van de Zandschulp (2-0) hard Toronto 89 min
  • 3rd Last Match: vs Terence Atmane (2-0) hard Toronto 101 min
  • 4th Last Match: vs Jacob Fearnley (2-1) hard Toronto 127 min
  • 5th Last Match: vs Brandon Nakashima (1-2) hard Washington 134 min

Head-to-Head (Last 2 Seasons)

0
Mattia Bellucci
vs
0
Jakub Mensik
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Cincinnati, Ohio. Round of 64 on hard courts at a Masters 1000 event. The model favors Jakub Mensik to advance, assigning him a 75.54% chance of victory versus 24.46% for Mattia Bellucci. The match is expected to be relatively short on games, with a projected total of about 25.73 games.

Match Analysis

The model’s edge for Mensik comes mainly from recent record by level (+8.7 percentage points), supported by his stronger overall profile and surface fit (+4.8 and +4.8 points respectively). Mensik is the higher-ranked player at 17, with an Elo of 1809.5, compared with Bellucci at 80 and Elo 1610.4. Mensik also posts a notably higher surface strength index on hard courts (38.39 versus Bellucci’s 14.93). Mensik arrives without added fatigue from this event, while Bellucci has already logged 124 minutes on court in Cincinnati, which factors into the model’s preference. Overall strength and recent opposition quality add further weight toward Mensik (+3.3), and serve and return metrics nudge him ahead (+2.2). Both players carry similar mean serve indices (96.5 for Bellucci, 96.2 for Mensik) and closely matched return indices (86.4 and 86.8), so there is no large serving or returning gap to exploit. Form indexes modestly favor Mensik (47.9 to 44.1). Over the last three matches Bellucci is 1-2, highlighted by a straight sets win in Cincinnati after losses to Sebastian Baez and Ugo Humbert. Mensik is 2-1 in his last three, with wins over Botic van de Zandschulp and Terence Atmane and a loss to Ben Shelton.

Total Games Predictions

🎾
Expected Total Games in Match 25.7 Most likely outcome: 25 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

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

Games Spread Predictions

📈
Expected Games Spread (Mattia Bellucci - Jakub Mensik) -3.1 Most likely spread: -4 (Jakub Mensik wins 4 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

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

Probability of spread ≤ X

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

Aces and Double Faults Predictions

The aces prediction for the match is about 17.63 combined. The predicted aces total reflects the medium-paced, consistent-bounce nature of hard courts, which yield moderate ace counts. The double faults prediction sits at 7.56 expected double faults for the match. Since both players have nearly identical serve ratings, neither should dominate the ace count purely by serve power.
🎯
Expected Total Aces 17.6 Most likely: 17 aces
Expected Total Double Faults 7.6 Most likely: 7 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Mattia Bellucci versus Jakub Mensik. 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 Mattia Bellucci versus Jakub Mensik. 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 Mattia Bellucci versus Jakub Mensik. 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 Mattia Bellucci versus Jakub Mensik. 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

47.6% Predicted: No tiebreak

Exact Score Distribution BO3

Probability of each set-by-set outcome (Mattia Bellucci's perspective)

0-2 Most likely set score (51.2%)
Probability distribution of the final set score from Mattia Bellucci's perspective. Format: BO3.

Final Prediction

Mensik’s advantage is driven foremost by recent record by level and a higher baseline strength, reflected in his rank and Elo. Watch Bellucci’s physical freshness and first-serve effectiveness early on, because any drop there is likely to decide whether this match stays short or becomes tighter than expected.

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