Wimbledon Great Britain Grass Grand Slam Round of 128

Pablo Llamas Ruiz vs Zachary Svajda: AI Prediction | Games, Spread, Aces & Double Faults

Pablo Llamas Ruiz

Rank: #119
50%
VS

Zachary Svajda

Rank: #66
50%
Expected Total Games: 37.4
Predicted Winner: Pablo Llamas Ruiz

Why the Model Favors Pablo Llamas Ruiz

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

Overall strength +10.5 Zachary Svajda
Surface fit +6.5 Pablo Llamas Ruiz
Recent record by level +4.2 Pablo Llamas Ruiz
Age +2.3 Zachary Svajda
Recent form +2.0 Pablo Llamas Ruiz

Starting from an even matchup, these factors move the model to 50% for Pablo Llamas Ruiz. Computed with gradient-based attribution on our neural network — not editorial opinion. How to read this →

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Player Metrics

Pablo Llamas Ruiz

Form Index: 60.5
ELO Rating: 1638.9
Glicko2 Rating: 1710.6
Current Fatigue (minutes): 522.0
Surface Strength:
Hard: 14.8
Clay: 23.6
Grass: 10.0
Serve Rating: 96.0
Return Rating: 96.5

Zachary Svajda

Form Index: 44.7
ELO Rating: 1669.3
Glicko2 Rating: 1681.4
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 25.5
Clay: 21.5
Grass: 5.0
Serve Rating: 93.5
Return Rating: 85.4

Recent Matches

Pablo Llamas Ruiz

  • Last Match: vs Tristan Boyer (1-3) grass Wimbledon 174 min
  • 2nd Last Match: vs Pol Martin Tiffon (2-0) grass Wimbledon 174 min
  • 3rd Last Match: vs Dan Added (2-0) grass Wimbledon 174 min
  • 4th Last Match: vs Thiago Agustin Tirante (1-3) clay Roland Garros 174 min
  • 5th Last Match: vs Ugo Blanchet (2-0) clay Roland Garros 174 min

Zachary Svajda

Head-to-Head (Last 2 Seasons)

0
Pablo Llamas Ruiz
vs
0
Zachary Svajda
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

At Wimbledon in Great Britain, Round of 128 on grass, Pablo Llamas Ruiz is narrowly favoured to beat Zachary Svajda in a Grand Slam opener. The model gives Llamas a 50.20% chance to win versus 49.80% for Svajda, with a predicted total of 37.44 games in the match.

Match Analysis

The model's edge in this matchup is driven most strongly by Svajda's overall strength (the single largest factor), but the projection tilts to Llamas because of his superior surface fit and recent form. Svajda arrives with the higher ranking (66 vs 119) and a higher Elo (1669.3 vs 1638.9), which is why the overall-strength factor moves the probability 10.5 points in his direction. In contrast, Llamas gains 6.5 points from his grass suitability and another ~6.2 points combined from recent record by level and recent form. Comparing the metrics: Llamas posts a higher form index (60.49) than Svajda (44.73) and shows a notably stronger surface strength index on grass (10.02 vs 4.96). Fatigue is a clear contrast — Llamas comes in after 522 minutes on court in this event, while Svajda has no tournament minutes logged, which could matter physically. Serve indices are similar (96.00 vs 93.50; difference under 5), but Llamas has a significantly better mean return index (96.51 vs 85.40), a gap of about 11 points that could make returns a decisive element. Recent form: Llamas won two straight earlier rounds at Wimbledon before a loss in his last match; Svajda has mixed grass results with a recent defeat to Damir Dzumhur and a prior win over Marc-Andrea Huesler.

Total Games Predictions

🎾
Expected Total Games in Match 37.4 Most likely outcome: 37 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Pablo Llamas Ruiz versus Zachary Svajda. 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 Pablo Llamas Ruiz versus Zachary Svajda. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Pablo Llamas Ruiz - Zachary Svajda) +0.0 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 Pablo Llamas Ruiz versus Zachary Svajda. Positive values indicate Pablo Llamas Ruiz winning more games, negative values indicate Zachary Svajda winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Pablo Llamas Ruiz versus Zachary Svajda. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction for this grass match is elevated: predicted aces total is 14.98. Expected double faults sit at 7.52 for the match. Grass typically produces more free points and a higher ace count, and while neither player has a dramatically superior serve index, Llamas’ slightly higher serving plus the quick surface supports the predicted aces. For double faults prediction, fatigue on Llamas could push the expected double faults upward.
🎯
Expected Total Aces 15.0 Most likely: 14 aces
Expected Total Double Faults 7.5 Most likely: 7 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Pablo Llamas Ruiz versus Zachary Svajda. 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 Pablo Llamas Ruiz versus Zachary Svajda. 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 Pablo Llamas Ruiz versus Zachary Svajda. 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 Pablo Llamas Ruiz versus Zachary Svajda. 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

39.9% Predicted: No tiebreak

Exact Score Distribution BO5

Probability of each set-by-set outcome (Pablo Llamas Ruiz's perspective)

0-3 Most likely set score (22.4%)
Probability distribution of the final set score from Pablo Llamas Ruiz's perspective. Format: BO5.

Final Prediction

Pablo Llamas Ruiz’s narrow edge comes largely from his grass fit and stronger recent results on this surface, even though the top model key factor (overall strength) favors Svajda. Key factor to watch: Llamas’ return effectiveness versus Svajda’s service games — that return gap and Llamas’ accumulated fatigue are likely to determine how close this match becomes.

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