Stuttgart Germany Grass Atp 250 Quarterfinals

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

Mattia Bellucci

Rank: #78
34%
VS

Taylor Fritz

Rank: #9
66%
Expected Total Games: 26.3
Predicted Winner: Taylor Fritz

Why the Model Favors Taylor Fritz

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

Recent record by level +11.3 Taylor Fritz
Overall strength +7.7 Taylor Fritz
Recent form +4.9 Mattia Bellucci
Surface fit +4.0 Mattia Bellucci
Serve & return game +3.9 Taylor Fritz

Starting from an even matchup, these factors move the model to 66% 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

Mattia Bellucci

Form Index: 46.9
ELO Rating: 1593.3
Glicko2 Rating: 1619.5
Current Fatigue (minutes): 269.0
Surface Strength:
Hard: 13.5
Clay: 10.4
Grass: 18.8
Serve Rating: 96.3
Return Rating: 91.6

Taylor Fritz

Form Index: 26.8
ELO Rating: 1747.0
Glicko2 Rating: 1846.2
Current Fatigue (minutes): 151.0
Surface Strength:
Hard: 36.5
Clay: 21.6
Grass: 49.6
Serve Rating: 96.0
Return Rating: 84.5

Recent Matches

Mattia Bellucci

  • Last Match: vs Yannick Hanfmann (2-1) grass Stuttgart 149 min
  • 2nd Last Match: vs Alejandro Davidovich Fokina (2-1) grass Stuttgart 120 min
  • 3rd Last Match: vs Quentin Halys (0-3) clay Roland Garros 174 min
  • 4th Last Match: vs Martin Landaluce (0-2) clay Rome 107 min
  • 5th Last Match: vs Tomas Martin Etcheverry (2-1) clay Rome 154 min

Taylor Fritz

  • Last Match: vs Martin Landaluce (2-1) grass Stuttgart 151 min
  • 2nd Last Match: vs Nishesh Basavareddy (1-3) clay Roland Garros 174 min
  • 3rd Last Match: vs Alexei Popyrin (0-2) clay Geneva 83 min
  • 4th Last Match: vs Jiri Lehecka (1-2) hard Miami 145 min
  • 5th Last Match: vs Reilly Opelka (2-0) hard Miami 63 min

Head-to-Head (Last 2 Seasons)

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

Key Prediction Insights

Quarterfinals in Stuttgart, Germany on grass — an important test in the build-up to the major grass events. The projection favors Taylor Fritz to win (65.99%) over Mattia Bellucci (34.01%), with an expected total of about 26.3 games in the match.

Match Analysis

The model’s edge for Fritz comes mainly from his recent record by level and overall strength: those two factors together swing the forecast toward Fritz. That aligns with his higher rank (No. 9) and stronger Elo (1746.96) compared with Bellucci (rank 78, Elo 1593.29). Fritz also arrives with lower tournament fatigue (151 minutes vs Bellucci’s 269), which the model treats as meaningful across the two-day swing of grass events. Conversely, two model factors nudge toward Bellucci — recent form and surface fit — reflecting his excellent run in Stuttgart so far. Looking at the underlying numbers, both players have very similar serve profiles (mean serve indices ~96.3 for Bellucci and ~96.0 for Fritz), so neither enjoys a clear serving superiority. Bellucci does hold a markedly better mean return index (91.56 vs Fritz’s 84.49), a difference greater than five points that could trouble Fritz on his service games. Surface strength also favors Bellucci to an extent (surface index 18.81 vs 49.59 for Fritz — note higher is better here for Fritz; but model credit for surface fit went to Bellucci), while Fritz’s overall package (rank, Elo, lower fatigue) explains his forecasted advantage. Recent matches: Bellucci has won two tight grass matches in Stuttgart (Davidovich Fokina, Hanfmann) after a heavy loss at Roland Garros; Fritz beat Landaluce in Stuttgart but had two earlier defeats on clay (Roland Garros, Geneva).

Total Games Predictions

🎾
Expected Total Games in Match 26.3 Most likely outcome: 26 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

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

Games Spread Predictions

📈
Expected Games Spread (Mattia Bellucci - Taylor Fritz) -1.4 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 Mattia Bellucci versus Taylor Fritz. Positive values indicate Mattia Bellucci winning more games, negative values indicate Taylor Fritz winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

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

Aces and Double Faults Predictions

The aces prediction is high: the match has predicted aces around 20.18 and an expected double faults count near 4.74. Grass generally inflates ace totals because the ball stays low and favors big, flat serving, so this fits surface expectations. With serve ratings essentially even, neither player should dominate the ace tally purely by rating, though Fritz’s bigger-game profile could translate into more free points.
🎯
Expected Total Aces 20.2 Most likely: 20 aces
Expected Total Double Faults 4.7 Most likely: 4 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Mattia Bellucci versus Taylor Fritz. 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 Taylor Fritz. 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 Taylor Fritz. 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 Taylor Fritz. 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

54.3% Predicted: Tiebreak likely

Exact Score Distribution BO3

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

0-2 Most likely set score (37.4%)
Probability distribution of the final set score from Mattia Bellucci's perspective. Format: BO3.

Final Prediction

Fritz’s edge stems chiefly from recent record by level and his overall strength (rank/Elo and lower fatigue). Watch Bellucci’s return and current grass form — if he can consistently challenge Fritz’s service games, this match could tighten far more than the raw probabilities suggest.

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