Halle Germany Grass Atp 500 Round of 32

Mattia Bellucci vs Alexander Bublik: AI Prediction | Games, Spread, Aces & Double Faults

Mattia Bellucci

Rank: #74
37%
VS

Alexander Bublik

Rank: #11
63%
Expected Total Games: 27.3
Predicted Winner: Alexander Bublik

Why the Model Favors Alexander Bublik

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

Recent record by level +8.7 Alexander Bublik
Recent form +6.2 Mattia Bellucci
Overall strength +4.8 Alexander Bublik
Serve & return game +3.1 Alexander Bublik
Overall record & opposition quality +2.9 Alexander Bublik

Starting from an even matchup, these factors move the model to 63% for Alexander Bublik. 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: 51.2
ELO Rating: 1610.0
Glicko2 Rating: 1638.5
Current Fatigue (minutes): 249.0
Surface Strength:
Hard: 13.6
Clay: 10.4
Grass: 20.7
Serve Rating: 96.4
Return Rating: 91.7

Alexander Bublik

Form Index: 28.6
ELO Rating: 1670.1
Glicko2 Rating: 1794.4
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 34.1
Clay: 29.3
Grass: 35.2
Serve Rating: 95.5
Return Rating: 84.1

Recent Matches

Mattia Bellucci

  • Last Match: vs Alex Bolt (2-1) grass Halle 168 min
  • 2nd Last Match: vs Mikhail Kukushkin (2-0) grass Halle 81 min
  • 3rd Last Match: vs Taylor Fritz (1-2) grass Stuttgart 146 min
  • 4th Last Match: vs Yannick Hanfmann (2-1) grass Stuttgart 149 min
  • 5th Last Match: vs Alejandro Davidovich Fokina (2-1) grass Stuttgart 120 min

Alexander Bublik

  • Last Match: vs Taylor Fritz (0-2) grass Stuttgart 68 min
  • 2nd Last Match: vs Giovanni Mpetshi Perricard (2-0) grass Stuttgart 88 min
  • 3rd Last Match: vs Jan-Lennard Struff (2-1) grass Stuttgart 103 min
  • 4th Last Match: vs Jan-Lennard Struff (1-3) clay Roland Garros 174 min
  • 5th Last Match: vs Learner Tien (1-2) clay Geneva 96 min

Head-to-Head (Last 2 Seasons)

0
Mattia Bellucci
vs
0
Alexander Bublik
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

At Halle in Germany, round of 32 on grass at an ATP 500 event, the model favors Alexander Bublik to advance. The prediction gives Bublik a 62.68% chance to win versus Mattia Bellucci at 37.32%, with an expected total of about 27.3 games in the match.

Match Analysis

The model's edge for Bublik comes mainly from recent record by level and his overall strength: those two factors together tilt the probability toward him. Bublik's higher Elo (1670.06) and top-15 ranking (No. 11) underpin that edge, while Bellucci sits at No. 74 with a lower Elo (1610.04). Bellucci, however, brings superior recent form (form index 51.15 vs Bublik’s 28.61), which partially offsets the ranking gap and explains why the model still gives him a meaningful chance. Serve and return dynamics are important on grass. Both players post very similar mean serve indexes (Bellucci 96.39, Bublik 95.51), so neither gains a large serving edge; the difference is under 5 points. Bellucci’s mean return index (91.67) is notably better than Bublik’s (84.12) — a 7.55-point gap — which suggests he can generate more break opportunities when he reads the serve well. Fatigue also matters: Bellucci arrives with 249 minutes already on court in this tournament, while Bublik is fresh at 0 cumulative minutes. Surface strength indexes favor Bublik (35.23 vs Bellucci’s 20.71), indicating he adapts slightly better to grass conditions. Across their last three matches, Bellucci has two wins at Halle (beating Alex Bolt in a long three-set match and Mikhail Kukushkin) and a loss to Taylor Fritz in Stuttgart. Bublik has two wins (against Giovanni Mpetshi Perricard and Jan-Lennard Struff in Stuttgart) and a recent straight-sets loss to Fritz.

Total Games Predictions

🎾
Expected Total Games in Match 27.3 Most likely outcome: 27 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

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

Games Spread Predictions

📈
Expected Games Spread (Mattia Bellucci - Alexander Bublik) -0.6 Most likely spread: -1 (Alexander Bublik 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 Alexander Bublik. Positive values indicate Mattia Bellucci winning more games, negative values indicate Alexander Bublik winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

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

Aces and Double Faults Predictions

The aces prediction is for a high count on grass, with predicted aces around 19.2 for the match; the expected double faults sit near 6.0. Grass favors big servers and should lift the predicted aces total. Since neither player holds a clear serve-index advantage, the high ace count reflects the surface more than a single dominant server. The double faults prediction reflects some risk-taking on serve from both players.
🎯
Expected Total Aces 19.2 Most likely: 19 aces
Expected Total Double Faults 6.0 Most likely: 5 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Mattia Bellucci versus Alexander Bublik. 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 Alexander Bublik. 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 Alexander Bublik. Clay surface matches tend to produce more double faults due to fatigue in longer rallies.
Cumulative Probability (CDF)

Probability of double faults ≤ X

Cumulative distribution function chart for double faults in Mattia Bellucci versus Alexander Bublik. 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

48.0% Predicted: No tiebreak

Exact Score Distribution BO3

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

0-2 Most likely set score (30.8%)
Probability distribution of the final set score from Mattia Bellucci's perspective. Format: BO3.

Final Prediction

Bublik’s advantage is driven primarily by recent record at this level and his overall strength metrics. Keep an eye on Bellucci’s return performance and on how fatigue affects his movement late in rallies — those factors will be decisive in whether Bublik’s edge holds.

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