Stuttgart Germany Grass Atp 250 Semifinals

Alexander Bublik vs Taylor Fritz: AI Prediction | Games, Spread, Aces & Double Faults

Alexander Bublik

Rank: #11
46%
VS

Taylor Fritz

Rank: #9
54%
Expected Total Games: 28.3
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 +7.5 Taylor Fritz
Surface fit +6.8 Alexander Bublik
Overall strength +4.6 Taylor Fritz
Serve & return game +4.4 Taylor Fritz
Recent form +4.0 Alexander Bublik

Starting from an even matchup, these factors move the model to 54% 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

Alexander Bublik

Form Index: 24.8
ELO Rating: 1684.6
Glicko2 Rating: 1803.0
Current Fatigue (minutes): 191.0
Surface Strength:
Hard: 34.2
Clay: 29.3
Grass: 36.2
Serve Rating: 96.3
Return Rating: 89.4

Taylor Fritz

Form Index: 32.1
ELO Rating: 1765.4
Glicko2 Rating: 1854.6
Current Fatigue (minutes): 297.0
Surface Strength:
Hard: 36.6
Clay: 21.6
Grass: 49.9
Serve Rating: 96.1
Return Rating: 84.5

Recent Matches

Alexander Bublik

  • Last Match: vs Giovanni Mpetshi Perricard (2-0) grass Stuttgart 88 min
  • 2nd Last Match: vs Jan-Lennard Struff (2-1) grass Stuttgart 103 min
  • 3rd Last Match: vs Jan-Lennard Struff (1-3) clay Roland Garros 174 min
  • 4th Last Match: vs Learner Tien (1-2) clay Geneva 96 min
  • 5th Last Match: vs Arthur Rinderknech (2-1) clay Geneva 115 min

Taylor Fritz

  • Last Match: vs Mattia Bellucci (2-1) grass Stuttgart 146 min
  • 2nd Last Match: vs Martin Landaluce (2-1) grass Stuttgart 151 min
  • 3rd Last Match: vs Nishesh Basavareddy (1-3) clay Roland Garros 174 min
  • 4th Last Match: vs Alexei Popyrin (0-2) clay Geneva 83 min
  • 5th Last Match: vs Jiri Lehecka (1-2) hard Miami 145 min

Head-to-Head (Last 2 Seasons)

1
Alexander Bublik
vs
0
Taylor Fritz
Hard
1 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

This is a grass‑court semifinal in Stuttgart (ATP 250) where Taylor Fritz is narrowly favoured over Alexander Bublik. The model projects Fritz to win with a 53.90% probability versus 46.10% for Bublik, and expects about 28.3 total games in the match.

Match Analysis

The model’s edge for Fritz comes mainly from his stronger recent results at this level and his overall playing strength, while Bublik earns a surface‑fit bump. Fritz’s higher Elo (1765.4 vs 1684.6) and superior form index (32.07 vs 24.76) underpin the recent‑record and overall‑strength advantages the model credits him with. He has reached the same late stage by grinding through long matches in Stuttgart, which the model interprets as resilience against comparable opponents. That said, Bublik’s game projects well to fast grass. His mean serve index (96.29) and mean return index (89.38) are both excellent and, combined with two straight grass wins here (over Struff and Mpetshi Perricard), explain the surface‑fit uplift the model applied to him despite a lower surface strength index number. Note Fritz’s surface strength index reads higher on paper (49.93 vs 36.20), but the model still rewarded Bublik for recent grass outcomes and a sharper attacking return pattern. Fatigue also plays in: Fritz has logged 297 minutes in Stuttgart versus Bublik’s 191, a factor that could matter late in rallies. Over the last three matches both players won their two grass matches here after earlier losses on clay at Roland Garros.

Total Games Predictions

🎾
Expected Total Games in Match 28.3 Most likely outcome: 28 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Alexander Bublik 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 Alexander Bublik 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 (Alexander Bublik - Taylor Fritz) +0.1 Most likely spread: 0 (even number of games won)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Alexander Bublik versus Taylor Fritz. Positive values indicate Alexander Bublik 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 Alexander Bublik versus Taylor Fritz. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction is high: the model’s predicted aces total is 23.12, and the expected double faults are 5.45. Grass favors big servers and thus elevated ace counts, so the predicted aces align with the surface. Neither player has a significantly higher serve rating (their mean serve indices are virtually identical), so both are likely to contribute to the predicted ace total; the double faults prediction suggests only modest service risk.
🎯
Expected Total Aces 23.1 Most likely: 24 aces
Expected Total Double Faults 5.5 Most likely: 5 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Alexander Bublik 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 Alexander Bublik 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 Alexander Bublik 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 Alexander Bublik 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

59.8% Predicted: Tiebreak likely

Exact Score Distribution BO3

Probability of each set-by-set outcome (Alexander Bublik's perspective)

0-2 Most likely set score (30.5%)
Probability distribution of the final set score from Alexander Bublik's perspective. Format: BO3.

Final Prediction

Fritz’s edge stems principally from superior recent results at this level and overall strength as measured by Elo and form. Key factor to watch: how fatigue affects Fritz’s serve consistency late—if his level dips, Bublik’s strong serve/return combo and grass momentum can tip the match.

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