Us Open NY, U.S.A. Hard Grand Slam Round of 128

Mattia Bellucci vs Zsombor Piros: AI Prediction | Games, Spread, Aces & Double Faults

Mattia Bellucci

Rank: #96
76%
VS

Zsombor Piros

Rank: #118
24%
Expected Total Games: 36.5
Predicted Winner: Mattia Bellucci

Why the Model Favors Mattia Bellucci

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

Recent form +11.4 Mattia Bellucci
Recent record by level +6.3 Mattia Bellucci
Overall record & opposition quality +2.2 Mattia Bellucci
Overall strength +2.1 Mattia Bellucci
Serve & return game +2.0 Mattia Bellucci

Starting from an even matchup, these factors move the model to 76% for Mattia Bellucci. 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: 39.8
ELO Rating: 1604.1
Glicko2 Rating: 1643.2
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 15.0
Clay: 10.3
Grass: 18.9
Serve Rating: 96.6
Return Rating: 86.5

Zsombor Piros

Form Index: 65.8
ELO Rating: 1599.7
Glicko2 Rating: 1523.2
Current Fatigue (minutes): 522.0
Surface Strength:
Hard: 23.4
Clay: 10.2
Grass: 4.8
Serve Rating: 92.5
Return Rating: 87.6

Recent Matches

Mattia Bellucci

Zsombor Piros

  • Last Match: vs Christopher O'Connell (1-1) hard Us Open 174 min
  • 2nd Last Match: vs Daniil Glinka (2-1) hard Us Open 174 min
  • 3rd Last Match: vs Max Alcala Gurri (2-0) hard Us Open 174 min
  • 4th Last Match: vs Billy Harris (0-2) grass Wimbledon 174 min
  • 5th Last Match: vs Ivan Ivanov (2-0) grass Wimbledon 174 min

Head-to-Head (Last 2 Seasons)

0
Mattia Bellucci
vs
0
Zsombor Piros
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

At the 2026 US Open in New York, round of 128 on hard courts, Mattia Bellucci is the model pick over Zsombor Piros. Bellucci is projected to win with a 75.92% probability versus 24.08% for Piros. The model expects about 36.5 total games in the match.

Match Analysis

The model's edge for Bellucci comes mainly from recent form and recent record by level, which together account for roughly 17.7 percentage points of the prediction. That assessment reflects context rather than raw form numbers. Bellucci brings a ranking advantage (No. 96 versus No. 118) and a small Elo edge (1603.85 to 1599.51). He has been competing at higher level hard court events recently, which the model treats as valuable context. Recent match outcomes show Bellucci at 1 win and 2 losses across Cincinnati and Winston Salem, with long matches against quality opposition. Other model drivers include overall record and opposition quality, overall strength, and serve and return game. Piros arrives on a three-match winning streak at the US Open and a higher proprietary form index (65.66 versus 39.52), but his cumulative fatigue is substantial at 522 minutes on court compared with Bellucci at zero. Surface strength index favors Piros modestly (23.38 to 14.96), so he is not without tools on hard courts. Serve and return indices are close enough that neither player holds a dominant statistical gap, though Bellucci’s mean serve index is slightly higher. Recent match patterns: Bellucci has had long, competitive matches with mixed results (one win, two losses). Piros has posted three straight wins at this event, each long affairs, which explains his fatigue load.

Total Games Predictions

🎾
Expected Total Games in Match 36.5 Most likely outcome: 35 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

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

Games Spread Predictions

📈
Expected Games Spread (Mattia Bellucci - Zsombor Piros) +1.9 Most likely spread: +1 (Mattia Bellucci wins 1 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

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

Probability of spread ≤ X

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

Aces and Double Faults Predictions

Aces prediction favors a moderate serving return, with predicted aces at 15.35 for the match and predicted aces split of 8.84 for Bellucci and 6.59 for Piros. The expected double faults total is 8.36, split 4.36 for Bellucci and 4.00 for Piros. On a medium paced hard court, those numbers fit the surface profile: enough free points for strong serves but not the extreme ace counts seen on grass. Because the mean serve indices are within about four points, the per player ace projections quantify a modest serve edge to Bellucci (8.84 vs 6.59).
🎯
Expected Total Aces 15.3 Most likely: 13 aces Per player: Mattia Bellucci 8.8 + Zsombor Piros 6.6
Expected Total Double Faults 8.4 Most likely: 7 double faults Per player: Mattia Bellucci 4.4 + Zsombor Piros 4.0

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

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

🎯 Aces by Player

Mattia Bellucci

Expected 8.8 aces

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

Expected 6.6 aces

Probability distribution for the aces Zsombor Piros serves in this match.

Double Faults Probability Distribution

Distribution

Probability of each double fault count outcome

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

Double Faults by Player

Mattia Bellucci

Expected 4.4 double faults

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

Expected 4.0 double faults

Probability distribution for the double faults Zsombor Piros serves in this match.

🎯 Match Format Predictions

Tiebreak Likelihood

Probability that any tiebreak is played in this match

40.2% Predicted: No tiebreak

Exact Score Distribution BO5

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

3-0 Most likely set score (33.7%)
Probability distribution of the final set score from Mattia Bellucci's perspective. Format: BO5.

Final Prediction

The model favors Bellucci largely due to the recent form metric as applied to the level of his recent opponents, plus a ranking and slight Elo advantage. Watch Piros’s fatigue and Bellucci’s serving consistency: those two factors are likely to decide whether the projected margin holds.

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