Wimbledon Great Britain Grass Grand Slam Round of 128

Stan Wawrinka vs Matteo Berrettini: AI Prediction | Games, Spread, Aces & Double Faults

Stan Wawrinka

Rank: #109
39%
VS

Matteo Berrettini

Rank: #51
61%
Expected Total Games: 42.0
Predicted Winner: Matteo Berrettini

Why the Model Favors Matteo Berrettini

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

Overall strength +6.9 Matteo Berrettini
Age +5.7 Matteo Berrettini
Recent form +2.5 Stan Wawrinka
Fatigue & recent workload +2.1 Stan Wawrinka
Serve & return game +1.6 Stan Wawrinka

Starting from an even matchup, these factors move the model to 61% for Matteo Berrettini. Computed with gradient-based attribution on our neural network — not editorial opinion. How to read this →

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Player Metrics

Stan Wawrinka

Form Index: 35.8
ELO Rating: 1560.8
Glicko2 Rating: 1640.5
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 18.1
Clay: 6.9
Grass: 7.8
Serve Rating: 95.6
Return Rating: 92.8

Matteo Berrettini

Form Index: 41.7
ELO Rating: 1723.7
Glicko2 Rating: 1699.3
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 30.6
Clay: 28.2
Grass: 8.8
Serve Rating: 96.9
Return Rating: 84.9

Recent Matches

Stan Wawrinka

  • Last Match: vs Jesper de Jong (1-3) clay Roland Garros 174 min
  • 2nd Last Match: vs Alex Michelsen (0-2) clay Geneva 104 min
  • 3rd Last Match: vs Raul Brancaccio (2-1) clay Geneva 128 min
  • 4th Last Match: vs Stefano Travaglia (2-1) clay Rome 138 min
  • 5th Last Match: vs Cameron Norrie (1-2) clay Barcelona 153 min

Matteo Berrettini

Head-to-Head (Last 2 Seasons)

0
Stan Wawrinka
vs
0
Matteo Berrettini
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Wimbledon in London, Round of 128 on grass at a grand slam sets a fast, serve-dominated stage. The model favors Matteo Berrettini to win (61.08%) over Stan Wawrinka (38.92%), with a predicted total of about 41.97 games in the match.

Match Analysis

The model's edge for Berrettini comes mainly from overall strength and age — reflected in his higher Elo (1723.68) and superior ranking (No. 51 versus Wawrinka's 109). Those factors together contribute the largest shares of the prediction swing toward Berrettini. Wawrinka narrows the gap with pockets of advantage: recent form and low tournament fatigue slightly help him, and the model also gives a modest boost for his serve-and-return profile. Looking at the numbers: Berrettini carries the higher form index (41.41 vs 35.31) and a stronger surface strength index on grass (8.80 vs 7.80). Wawrinka’s mean return index (92.80) is notably better than Berrettini’s (84.94) — a meaningful difference that suggests he can pressure Berrettini’s service games. Serve indices are both elite (95.61 for Wawrinka, 96.94 for Berrettini), but the gap is small. Both players arrive with zero accumulated fatigue from the tournament. Over their last three matches, Wawrinka is 1-2 (a win over Brancaccio, two losses including Roland Garros), while Berrettini is 2-1 (two wins followed by a Roland Garros loss).

Total Games Predictions

🎾
Expected Total Games in Match 42.0 Most likely outcome: 41 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Stan Wawrinka versus Matteo Berrettini. 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 Stan Wawrinka versus Matteo Berrettini. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Stan Wawrinka - Matteo Berrettini) -2.7 Most likely spread: -3 (Matteo Berrettini wins 3 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Stan Wawrinka versus Matteo Berrettini. Positive values indicate Stan Wawrinka winning more games, negative values indicate Matteo Berrettini winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Stan Wawrinka versus Matteo Berrettini. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction is high on grass: the model’s predicted aces total is 22.52 for the match, and the double faults prediction sits at an expected double faults figure of 7.28. Grass favors big, flat servers and both players have elite serve indexes, so the predicted aces count is elevated; with both serving aggressively, double faults are modest but present. Neither player has a significantly higher serve rating, so the expected aces should be shared rather than one-sided.
🎯
Expected Total Aces 22.5 Most likely: 22 aces
Expected Total Double Faults 7.3 Most likely: 7 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Stan Wawrinka versus Matteo Berrettini. 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 Stan Wawrinka versus Matteo Berrettini. 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 Stan Wawrinka versus Matteo Berrettini. 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 Stan Wawrinka versus Matteo Berrettini. 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

52.1% Predicted: Tiebreak likely

Exact Score Distribution BO5

Probability of each set-by-set outcome (Stan Wawrinka's perspective)

0-3 Most likely set score (23.7%)
Probability distribution of the final set score from Stan Wawrinka's perspective. Format: BO5.

Final Prediction

Berrettini’s edge is driven chiefly by overall strength (Elo and ranking) and an age-related tilt in his favor. Key factor to watch: Wawrinka’s superior return — if he neutralizes Berrettini’s serve early, the upset probability rises.

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