Wimbledon Great Britain Grass Grand Slam Round of 64

Kyrian Jacquet vs Alexander Bublik: AI Prediction | Games, Spread, Aces & Double Faults

Kyrian Jacquet

Rank: #139
46%
VS

Alexander Bublik

Rank: #11
54%
Expected Total Games: 42.1
Predicted Winner: Alexander Bublik

Why the Model Favors Alexander Bublik

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

Overall strength +5.6 Alexander Bublik
Surface fit +4.0 Kyrian Jacquet
Recent record by level +3.2 Kyrian Jacquet
Overall record & opposition quality +2.2 Kyrian Jacquet
Recent form +2.0 Alexander Bublik

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

Kyrian Jacquet

Form Index: 81.0
ELO Rating: 1708.3
Glicko2 Rating: 1724.8
Current Fatigue (minutes): 696.0
Surface Strength:
Hard: 5.8
Clay: 19.7
Grass: 22.5
Serve Rating: 94.9
Return Rating: 93.8

Alexander Bublik

Form Index: 31.3
ELO Rating: 1692.7
Glicko2 Rating: 1796.4
Current Fatigue (minutes): 174.0
Surface Strength:
Hard: 34.2
Clay: 30.2
Grass: 33.7
Serve Rating: 96.6
Return Rating: 86.3

Recent Matches

Kyrian Jacquet

  • Last Match: vs Vilius Gaubas (3-0) grass Wimbledon 174 min
  • 2nd Last Match: vs Timofey Skatov (3-0) grass Wimbledon 174 min
  • 3rd Last Match: vs Andrea Guerrieri (2-0) grass Wimbledon 174 min
  • 4th Last Match: vs Pedro Boscardin Dias (2-0) grass Wimbledon 174 min
  • 5th Last Match: vs Marco Trungelliti (0-3) clay Roland Garros 174 min

Alexander Bublik

Head-to-Head (Last 2 Seasons)

0
Kyrian Jacquet
vs
0
Alexander Bublik
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Wimbledon, Round of 64 on grass at the Grand Slam stage sets up Kyrian Jacquet versus Alexander Bublik. The model favors Bublik to win (53.85%) with Jacquet at 46.15%, and it projects about 42.11 total games in the match.

Match Analysis

The model's edge for Alexander Bublik comes mainly from overall strength (+5.6 percentage points), a factor reflected in his top-15 ranking (No. 11) and greater tour pedigree despite marginally lower Elo than Jacquet. That advantage is tempered by two sizable offsets: Jacquet’s better surface fit (+4.0) and superior recent record by level (+3.2), which push the probabilities back toward him. Recent form was also a small positive for Bublik (+2.0) in the model’s calculus, while overall record and opposition quality nudged toward Jacquet (+2.2). Looking at the raw numbers: Jacquet (rank 139) arrives with a high form index (81.02) and an Elo of 1708.3, but he has accumulated heavy fatigue (696 minutes) through long wins at this event. Bublik (rank 11) posts a lower form index (31.26) and a slightly lower Elo (1692.7) but is far fresher with just 174 minutes logged. Surface strength favors Bublik numerically (33.74) over Jacquet (22.53), though Jacquet’s recent grass results have been strong. Their mean serve indices are close (Jacquet 94.93, Bublik 96.59), so no single server dominates on paper, but Jacquet’s mean return index (93.78) is notably higher than Bublik’s (86.34) by more than five points. Over the last three matches, Jacquet has three straight wins at Wimbledon, whereas Bublik has one recent five-set win and two earlier grass losses.

Total Games Predictions

🎾
Expected Total Games in Match 42.1 Most likely outcome: 42 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Kyrian Jacquet 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 Kyrian Jacquet 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 (Kyrian Jacquet - Alexander Bublik) -1.6 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 Kyrian Jacquet versus Alexander Bublik. Positive values indicate Kyrian Jacquet 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 Kyrian Jacquet versus Alexander Bublik. 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 26.12, and the expected double faults are 10.53. Grass typically boosts ace counts and favors big, flat serving — both players carry very strong serve indices, which helps explain the predicted aces. Given the similar serve ratings, neither player alone explains the tallies, but their serve-heavy profiles drive this expected ace and double faults outcome.
🎯
Expected Total Aces 26.1 Most likely: 26 aces
Expected Total Double Faults 10.5 Most likely: 10 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Kyrian Jacquet 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 Kyrian Jacquet 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 Kyrian Jacquet 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 Kyrian Jacquet 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

60.2% Predicted: Tiebreak likely

Exact Score Distribution BO5

Probability of each set-by-set outcome (Kyrian Jacquet's perspective)

0-3 Most likely set score (30.5%)
Probability distribution of the final set score from Kyrian Jacquet's perspective. Format: BO5.

Final Prediction

Bublik’s narrow edge is primarily driven by overall strength as encoded by the model, despite Jacquet’s superior recent results and strong return numbers. The key factor to watch will be Jacquet’s fatigue level: if his heavy minutes blunt movement or serve rhythm, Bublik’s edge should widen.

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