Wimbledon Great Britain Grass Grand Slam Round of 64

Matteo Berrettini vs Arthur Fils: AI Prediction | Games, Spread, Aces & Double Faults

Matteo Berrettini

Rank: #51
29%
VS

Arthur Fils

Rank: #24
71%
Expected Total Games: 37.5
Predicted Winner: Arthur Fils

Why the Model Favors Arthur Fils

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

Overall strength +4.6 Arthur Fils
Recent form +4.1 Arthur Fils
Recent record by level +3.9 Arthur Fils
Fatigue & recent workload +3.4 Matteo Berrettini
Surface fit +3.3 Arthur Fils

Starting from an even matchup, these factors move the model to 71% for Arthur Fils. Computed with gradient-based attribution on our neural network — not editorial opinion. How to read this →

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Player Metrics

Matteo Berrettini

Form Index: 74.3
ELO Rating: 1746.3
Glicko2 Rating: 1714.2
Current Fatigue (minutes): 174.0
Surface Strength:
Hard: 30.6
Clay: 28.2
Grass: 12.0
Serve Rating: 97.7
Return Rating: 91.0

Arthur Fils

Form Index: 61.8
ELO Rating: 1944.0
Glicko2 Rating: 1982.0
Current Fatigue (minutes): 174.0
Surface Strength:
Hard: 43.1
Clay: 40.9
Grass: 17.6
Serve Rating: 96.3
Return Rating: 87.4

Recent Matches

Matteo Berrettini

Arthur Fils

Head-to-Head (Last 2 Seasons)

0
Matteo Berrettini
vs
0
Arthur Fils
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Wimbledon, Round of 64 on grass at the All England Club sets up a contrasting clash between Matteo Berrettini and Arthur Fils. The model projects Arthur Fils to advance with a 71.14% probability, Matteo Berrettini at 28.86%, and an expected total of about 37.5 games in the match.

Match Analysis

The model’s edge for Fils is driven chiefly by overall strength and surface fit. Overall strength favors Fils: he is ranked 24 with an Elo of 1944.03 compared with Berrettini’s rank 51 and Elo 1746.27, a gap that explains the largest single swing toward Fils. Surface fit also nudges the prediction toward Fils—his surface strength index on grass is 17.61 versus Berrettini’s 12.02, indicating a clearer grass aptitude in the data. Recent form and recent record by level further support Fils; his straight-sets win in the Wimbledon opener (3-0 vs Collignon) contrasts with Berrettini’s mixed run across clay and grass, including a Roland Garros loss to Arnaldi. Fatigue and workload is one of the few factors moving toward Berrettini. Both players show identical cumulative minutes listed (174.0), but the model attributes 3.4 percentage points to Berrettini on workload—an acknowledgement in the data that his recent match patterns may be less draining relative to opponent match intensity. Serve and return profiles are close: Berrettini’s mean serve index is 97.67 vs Fils 96.32 (difference <5), and return indices are 91.01 vs 87.37 (difference <5), so neither margin is large enough to be decisive. Over the past three matches Berrettini’s sequence is W–L–W (including a solid Wimbledon win), while Fils is W–L–L but arrives with a convincing 3-0 victory on grass.

Total Games Predictions

🎾
Expected Total Games in Match 37.5 Most likely outcome: 37 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

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

Games Spread Predictions

📈
Expected Games Spread (Matteo Berrettini - Arthur Fils) -2.1 Most likely spread: -3 (Arthur Fils wins 3 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

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

Probability of spread ≤ X

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

Aces and Double Faults Predictions

The aces prediction is for a high count: predicted aces are 21.45 for the match, reflecting grass as the fastest surface and both players’ big-serve profiles. The expected double faults tally is 6.6. Since neither player has a significantly higher serve rating, the ace count should be shared rather than dominated by one player; the surface will amplify both players’ free points.
🎯
Expected Total Aces 21.4 Most likely: 21 aces
Expected Total Double Faults 6.6 Most likely: 6 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Matteo Berrettini versus Arthur Fils. 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 Matteo Berrettini versus Arthur Fils. 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 Matteo Berrettini versus Arthur Fils. 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 Matteo Berrettini versus Arthur Fils. 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

53.3% Predicted: Tiebreak likely

Exact Score Distribution BO5

Probability of each set-by-set outcome (Matteo Berrettini's perspective)

0-3 Most likely set score (35.5%)
Probability distribution of the final set score from Matteo Berrettini's perspective. Format: BO5.

Final Prediction

Fils’ advantage comes primarily from overall strength (Elo and ranking) and better surface fit, which the model cites as the top driver. Watch Fils’ grass comfort and how each player handles return opportunities—those moments will likely decide whether the match stays close or tips firmly in Fils’ favor.

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