Wimbledon Great Britain Grass Grand Slam Round of 16

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

Taylor Fritz

Rank: #8
59%
VS

Alexander Bublik

Rank: #11
41%
Expected Total Games: 40.3
Predicted Winner: Taylor Fritz

Why the Model Favors Taylor Fritz

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

Serve & return game +8.7 Taylor Fritz
Surface fit +7.0 Alexander Bublik
Overall strength +6.8 Taylor Fritz
Recent record by level +4.1 Taylor Fritz
Recent form +2.5 Taylor Fritz

Starting from an even matchup, these factors move the model to 59% 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

Taylor Fritz

Form Index: 60.2
ELO Rating: 1867.6
Glicko2 Rating: 1897.8
Current Fatigue (minutes): 522.0
Surface Strength:
Hard: 36.5
Clay: 21.6
Grass: 49.7
Serve Rating: 98.5
Return Rating: 92.7

Alexander Bublik

Form Index: 50.8
ELO Rating: 1793.0
Glicko2 Rating: 1819.7
Current Fatigue (minutes): 522.0
Surface Strength:
Hard: 34.2
Clay: 30.2
Grass: 38.7
Serve Rating: 96.5
Return Rating: 86.3

Recent Matches

Taylor Fritz

Alexander Bublik

Head-to-Head (Last 2 Seasons)

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

Key Prediction Insights

At Wimbledon in Great Britain, the round of 16 on grass sets up a high-stakes matchup between Taylor Fritz and Alexander Bublik in this Grand Slam. The model favors Taylor Fritz to prevail (59.40%) over Bublik (40.60%), with a predicted total of about 40.33 games in the match.

Match Analysis

The model’s edge for Fritz comes mainly from the serve & return game, while Bublik picks up a counterweight from surface fit. Fritz carries a higher Elo (1872.1) and a top-10 ranking (8) versus Bublik’s Elo of 1793.5 and rank 11, giving Fritz an overall strength advantage reflected in the prediction. Fritz’s form index (60.22) is noticeably above Bublik’s (50.81), and the model also credits Fritz for slightly better recent results at this level. Both players show equal tournament fatigue (522 minutes), so endurance should not be a separating factor. On serve/return specifics, Fritz posts a very strong mean serve index (98.55) and an even more striking mean return index (92.70). Bublik’s serve index (96.53) is close to Fritz’s, but his mean return index (86.26) trails by more than 6 points — a meaningful gap on a fast surface. Surface strength indices favor Fritz (49.74) over Bublik (38.69), though the model still notes Bublik’s relative surface fit as a driver toward him; his game can be effective on low, skidding grass. Over their last three matches at Wimbledon both have been unbeaten: Fritz with two straight-set wins and a 3-1 last round; Bublik with two tight 3-2 wins and one 3-0, showing his ability to grind through longer matches.

Total Games Predictions

🎾
Expected Total Games in Match 40.3 Most likely outcome: 40 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

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

Aces and Double Faults Predictions

This is a big-serve contest and the aces prediction is high: predicted aces for the match are 31.13, while the expected double faults sit at 7.93. On grass, predicted aces rise because the surface favors big, flat serving; given Fritz’s slightly higher serve and markedly better return, he may rack up more free points. The double faults prediction reflects both players’ aggressive serving tendencies on the quick surface.
🎯
Expected Total Aces 31.1 Most likely: 31 aces
Expected Total Double Faults 7.9 Most likely: 7 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Taylor Fritz 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 Taylor Fritz 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 Taylor Fritz 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 Taylor Fritz 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

68.9% Predicted: Tiebreak likely

Exact Score Distribution BO5

Probability of each set-by-set outcome (Taylor Fritz's perspective)

3-0 Most likely set score (30.9%)
Probability distribution of the final set score from Taylor Fritz's perspective. Format: BO5.

Final Prediction

Fritz’s advantage is driven most by the serve & return game — his return edge and overall strength tilt probability his way. Watch Fritz’s ability to neutralize Bublik’s serve early in games; that return performance is likely the decisive factor.

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