Stuttgart Germany Grass Atp 250 Quarterfinals

Giovanni Mpetshi Perricard vs Alexander Bublik: AI Prediction | Games, Spread, Aces & Double Faults

Giovanni Mpetshi Perricard

Rank: #93
36%
VS

Alexander Bublik

Rank: #11
64%
Expected Total Games: 30.2
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 +7.6 Alexander Bublik
Overall strength +3.3 Alexander Bublik
Surface fit +2.9 Alexander Bublik
Age +2.9 Giovanni Mpetshi Perricard
Recent form +2.7 Giovanni Mpetshi Perricard

Starting from an even matchup, these factors move the model to 64% 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

Giovanni Mpetshi Perricard

Form Index: 35.9
ELO Rating: 1565.7
Glicko2 Rating: 1619.5
Current Fatigue (minutes): 218.0
Surface Strength:
Hard: 15.2
Clay: 13.2
Grass: 12.6
Serve Rating: 97.9
Return Rating: 86.3

Alexander Bublik

Form Index: 18.8
ELO Rating: 1672.0
Glicko2 Rating: 1795.8
Current Fatigue (minutes): 103.0
Surface Strength:
Hard: 34.2
Clay: 29.3
Grass: 35.7
Serve Rating: 95.5
Return Rating: 84.3

Recent Matches

Giovanni Mpetshi Perricard

  • Last Match: vs Gauthier Onclin (2-0) grass Stuttgart 78 min
  • 2nd Last Match: vs Roman Safiullin (2-1) grass Stuttgart 140 min
  • 3rd Last Match: vs Novak Djokovic (1-3) clay Roland Garros 174 min
  • 4th Last Match: vs Stefanos Tsitsipas (0-2) clay Geneva 93 min
  • 5th Last Match: vs Lorenzo Musetti (0-2) clay Rome 88 min

Alexander Bublik

  • Last Match: vs Jan-Lennard Struff (2-1) grass Stuttgart 103 min
  • 2nd Last Match: vs Jan-Lennard Struff (1-3) clay Roland Garros 174 min
  • 3rd Last Match: vs Learner Tien (1-2) clay Geneva 96 min
  • 4th Last Match: vs Arthur Rinderknech (2-1) clay Geneva 115 min
  • 5th Last Match: vs Edas Butvilas (2-0) clay Geneva 79 min

Head-to-Head (Last 2 Seasons)

1
Giovanni Mpetshi Perricard
vs
0
Alexander Bublik
Hard
0 - 0
Clay
1 - 0
Grass
0 - 0

Key Prediction Insights

Quarterfinals in Stuttgart on grass — a fast, low-bouncing surface that rewards power and serve dominance — sets the stage for Giovanni Mpetshi Perricard vs Alexander Bublik. The model projects Bublik to win (63.97%) over Perricard (36.03%), with an expected total of about 30.24 games in the match.

Match Analysis

The model’s edge for Bublik comes mainly from his recent record by level, plus overall strength and better surface fit. Bublik carries a clear ranking and Elo advantage (rank 11, Elo 1672) over Perricard (rank 93, Elo 1566), and his surface strength index (35.66) is notably higher than Perricard’s (12.61), which helps on grass. Those three factors together add the bulk of the probability toward Bublik. Counterbalancing that, the model also gives small weight toward Perricard for age and recent form — his form index (35.88) is higher than Bublik’s (18.80), and he’s shown strong grass results this week. Compare the other metrics: Perricard has a marginally higher mean serve index (97.93 vs 95.47) and mean return index (86.29 vs 84.25), but neither difference exceeds five points. Fatigue is a factor — Perricard has spent 218 minutes on court in the event so far, versus Bublik’s 103 minutes — that heavier workload could influence tight serving moments. Over the last three matches Perricard has two straight wins in Stuttgart (Onclin, Safiullin) after a Roland Garros loss to Djokovic; Bublik has a Stuttgart win over Struff but arrives with two earlier losses on clay.

Total Games Predictions

🎾
Expected Total Games in Match 30.2 Most likely outcome: 31 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Giovanni Mpetshi Perricard 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 Giovanni Mpetshi Perricard 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 (Giovanni Mpetshi Perricard - Alexander Bublik) -1.5 Most likely spread: -2 (Alexander Bublik wins 2 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

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

Aces and Double Faults Predictions

This surface amplifies the serve, so the aces prediction is high: the match has predicted aces of 23.82 and an expected double faults tally of 5.82. Given grass favors big servers, the aces prediction reflects both players’ strong serve indices. Neither player’s serve index is far enough apart to single-handedly dominate the ace count, but both should contribute to the elevated total.
🎯
Expected Total Aces 23.8 Most likely: 25 aces
Expected Total Double Faults 5.8 Most likely: 5 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Giovanni Mpetshi Perricard 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 Giovanni Mpetshi Perricard 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 Giovanni Mpetshi Perricard 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 Giovanni Mpetshi Perricard 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

66.4% Predicted: Tiebreak likely

Exact Score Distribution BO3

Probability of each set-by-set outcome (Giovanni Mpetshi Perricard's perspective)

0-2 Most likely set score (37.8%)
Probability distribution of the final set score from Giovanni Mpetshi Perricard's perspective. Format: BO3.

Final Prediction

Bublik’s advantage is driven principally by recent record by level and his overall strength (rank/Elo), with surface fit also nudging the needle in his favor. Key factor to watch: Perricard’s fatigue after longer time on court and how it affects return games and clutch serving on grass.

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