Gstaad Switzerland Clay Atp 250 Round of 16

Alexander Bublik vs Quentin Halys: AI Prediction | Games, Spread, Aces & Double Faults

Alexander Bublik

Rank: #11
53%
VS

Quentin Halys

Rank: #90
47%
Expected Total Games: 25.8
Predicted Winner: Alexander Bublik

Why the Model Favors Alexander Bublik

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

Overall strength +3.7 Alexander Bublik
Surface fit +3.2 Alexander Bublik
Serve & return game +2.4 Quentin Halys
Recent form +1.3 Alexander Bublik
Recent record by level +1.1 Quentin Halys

Starting from an even matchup, these factors move the model to 53% 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

Alexander Bublik

Form Index: 41.4
ELO Rating: 1758.0
Glicko2 Rating: 1810.9
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 34.1
Clay: 30.2
Grass: 36.1
Serve Rating: 97.2
Return Rating: 92.5

Quentin Halys

Form Index: 43.6
ELO Rating: 1646.2
Glicko2 Rating: 1676.3
Current Fatigue (minutes): 125.0
Surface Strength:
Hard: 26.8
Clay: 19.6
Grass: 5.4
Serve Rating: 96.4
Return Rating: 82.7

Recent Matches

Alexander Bublik

Quentin Halys

  • Last Match: vs Federico Cina (2-1) clay Gstaad 125 min
  • 2nd Last Match: vs Marcos Giron (0-3) grass Wimbledon 174 min
  • 3rd Last Match: vs Matteo Arnaldi (3-1) grass Wimbledon 174 min
  • 4th Last Match: vs Ugo Humbert (0-2) grass Eastbourne 77 min
  • 5th Last Match: vs Giles Hussey (2-0) grass Eastbourne 82 min

Head-to-Head (Last 2 Seasons)

0
Alexander Bublik
vs
0
Quentin Halys
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

At Gstaad in Switzerland, round of 16 on clay at an ATP 250 event, this matchup pits 11th-ranked Alexander Bublik against Quentin Halys. The model tips Bublik to win 52.82% to 47.18%, with a predicted total of about 25.8 games in the match.

Match Analysis

The model’s edge for Bublik comes mainly from his overall strength and better surface fit—these two factors push the prediction toward him more than any others. Bublik enters with a higher Elo (1758.05 versus Halys’s 1646.10) and a top-15 ranking, and his surface strength index (30.15) is notably higher than Halys’s 19.60, which explains the surface-fit boost on clay. Recent form also nudges slightly toward Bublik, while Halys picks up ground from serve & return characteristics and recent results at similar levels. Looking at the raw numbers, Bublik’s form index sits at 41.40 against Halys’s 43.60; both have been active, but fatigue differs markedly—Bublik reports 0 minutes on court in this event while Halys has accumulated 125 minutes, which can matter on a physically demanding clay court. Their mean serve indices are very close (Bublik 97.22, Halys 96.36), so the serving match-up is balanced; however Bublik’s mean return index (92.52) is about 9.9 points higher than Halys’s (82.65), a meaningful gap that favors Bublik’s ability to create break opportunities. In their last three matches Bublik showed two wins followed by a loss at Wimbledon (mixed but strong showings), while Halys has a recent win here in Gstaad plus a win and a loss on grass.

Total Games Predictions

🎾
Expected Total Games in Match 25.8 Most likely outcome: 25 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

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

Games Spread Predictions

📈
Expected Games Spread (Alexander Bublik - Quentin Halys) +0.8 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 Quentin Halys. Positive values indicate Alexander Bublik winning more games, negative values indicate Quentin Halys winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

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

Aces and Double Faults Predictions

Aces prediction: the model expects about 21.9 total aces for the match and an expected double faults figure around 7.7. Predicted aces are tempered by the clay surface—slower ball and higher bounce typically reduce ace frequency. Double faults prediction reflects both surface fatigue effects and Halys’s accumulated minutes on court; with serve ratings nearly identical, neither player should dominate the ace count, but return disparity may pressure Halys into more second-serve mistakes.
🎯
Expected Total Aces 21.9 Most likely: 22 aces
Expected Total Double Faults 7.7 Most likely: 7 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Alexander Bublik versus Quentin Halys. 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 Quentin Halys. 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 Quentin Halys. 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 Quentin Halys. 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

57.6% Predicted: Tiebreak likely

Exact Score Distribution BO3

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

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

Final Prediction

Bublik’s edge is grounded chiefly in overall strength (the top model factor) and a better fit to clay, supplemented by a clear return advantage. The key factor to watch will be Bublik’s return/returner pressure against Halys’s service games, especially if Halys’s tournament fatigue becomes a factor.

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