Wimbledon Great Britain Grass Grand Slam Round of 32

Grigor Dimitrov vs Matteo Berrettini: AI Prediction | Games, Spread, Aces & Double Faults

Grigor Dimitrov

Rank: #146
41%
VS

Matteo Berrettini

Rank: #51
59%
Expected Total Games: 36.9
Predicted Winner: Matteo Berrettini

Why the Model Favors Matteo Berrettini

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

Serve & return game +5.8 Grigor Dimitrov
Overall strength +5.3 Matteo Berrettini
Age +2.4 Matteo Berrettini
Fatigue & recent workload +1.6 Matteo Berrettini
Overall record & opposition quality +0.7 Matteo Berrettini

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

Grigor Dimitrov

Form Index: 42.4
ELO Rating: 1640.7
Glicko2 Rating: 1627.8
Current Fatigue (minutes): 348.0
Surface Strength:
Hard: 22.2
Clay: 12.3
Grass: 28.7
Serve Rating: 96.1
Return Rating: 92.0

Matteo Berrettini

Form Index: 82.5
ELO Rating: 1807.1
Glicko2 Rating: 1744.2
Current Fatigue (minutes): 348.0
Surface Strength:
Hard: 30.6
Clay: 28.2
Grass: 16.0
Serve Rating: 96.8
Return Rating: 84.9

Recent Matches

Grigor Dimitrov

Matteo Berrettini

Head-to-Head (Last 2 Seasons)

0
Grigor Dimitrov
vs
0
Matteo Berrettini
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Wimbledon, Round of 32 on grass in London — a best-of-five grand slam clash between Grigor Dimitrov and Matteo Berrettini. The model favors Matteo Berrettini to advance (59.45% win probability) over Grigor Dimitrov (40.55%), with a predicted total of about 36.9 games in the match.

Match Analysis

The model’s strongest single signal is the serve & return game — it actually leans toward Dimitrov — but Berrettini’s higher overall strength, together with age and recent workload considerations, swing the match in his favor. Dimitrov arrives with a lower tour rank (146) and an Elo of 1640.7, while Berrettini sits higher at rank 51 with an Elo of 1807.1. Formally, Berrettini’s form index (82.46) is substantially stronger than Dimitrov’s (42.40), which is reflected in the prediction tilt toward the Italian. Surface and match-up subtleties matter: Dimitrov posts a notably stronger surface strength index on grass (28.65 vs Berrettini’s 15.97) and carries an edge in return quality — his mean return index is 91.99 versus Berrettini’s 84.86 (a >5-point gap). Both players show excellent serving profiles (serve indices ~96 each), so there isn’t a large serving advantage either way. Fatigue numbers are identical in this dataset (348 minutes each), but the model still nudges toward Berrettini on fatigue and age factors. Recent form mirrors the data: both won two straight matches at Wimbledon to reach this stage — Dimitrov beat Mensik and Sweeny after a loss to Davidovich Fokina on Mallorca, while Berrettini beat Fils and Wawrinka after a prior loss at Roland Garros.

Total Games Predictions

🎾
Expected Total Games in Match 36.9 Most likely outcome: 36 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Grigor Dimitrov 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 Grigor Dimitrov 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 (Grigor Dimitrov - Matteo Berrettini) -1.1 Most likely spread: -2 (Matteo Berrettini wins 2 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Grigor Dimitrov versus Matteo Berrettini. Positive values indicate Grigor Dimitrov 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 Grigor Dimitrov versus Matteo Berrettini. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction is high for a grass match: the model’s predicted aces total is 23.62, and the expected double faults are 7.67. Grass typically boosts ace counts because big, flat serves skid and rush opponents; with both players posting serve indices near 96, each should contribute to the predicted aces. For a heads-up: the double faults prediction remains modest relative to aces, reflecting generally controlled serving from both men.
🎯
Expected Total Aces 23.6 Most likely: 23 aces
Expected Total Double Faults 7.7 Most likely: 7 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Grigor Dimitrov 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 Grigor Dimitrov 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 Grigor Dimitrov 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 Grigor Dimitrov 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

55.7% Predicted: Tiebreak likely

Exact Score Distribution BO5

Probability of each set-by-set outcome (Grigor Dimitrov's perspective)

0-3 Most likely set score (33.2%)
Probability distribution of the final set score from Grigor Dimitrov's perspective. Format: BO5.

Final Prediction

Despite Dimitrov’s edge in serve/return dynamics (the top model factor), Berrettini’s superior overall strength and form deliver the projected victory. Keep an eye on return effectiveness early — if Dimitrov converts that advantage into breaks, he can flip the script; if Berrettini imposes his power and consistency on serve, he should prevail.

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