Madrid Spain Clay Masters 1000 Round of 128

Dino Prizmic vs Matteo Berrettini: AI Prediction | Games, Spread, Aces & Double Faults

Dino Prizmic

Rank: #87
40%
VS

Matteo Berrettini

Rank: #92
60%
Expected Total Games: 23.8
Predicted Winner: Matteo Berrettini

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Player Metrics

Dino Prizmic

Form Index: 81.0
ELO Rating: 1650.9
Glicko2 Rating: 1672.6
Current Fatigue (minutes): 300.0
Surface Strength:
Hard: 53.7
Clay: 41.4
Grass: 40.1
Serve Rating: 60.4
Return Rating: 66.6

Matteo Berrettini

Form Index: 53.1
ELO Rating: 1677.3
Glicko2 Rating: 1702.0
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 58.2
Clay: 41.7
Grass: 40.2
Serve Rating: 99.0
Return Rating: 87.3

Recent Matches

Dino Prizmic

Matteo Berrettini

Head-to-Head (Last 2 Seasons)

0
Dino Prizmic
vs
0
Matteo Berrettini
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Madrid, Round of 128 on clay at a Masters 1000 event pairs Dino Prizmic against Matteo Berrettini in an intriguing contrast of styles. The model favours Berrettini (59.86%) over Prizmic (40.14%) with a predicted total of roughly 23.8 games — suggesting a straight-sets finish is the most likely outcome.

Match Analysis

Prizmic arrives ranked 87 with a solid recent run in Madrid, carrying a form index of 80.95 and an Elo of 1650.9; he has accumulated 300 minutes on court already this week and shows a better return profile (mean return 66.65) than surface comfort (surface index 41.37). His recent wins include a gritty three-hour victory pattern and a straight-sets win in the current event, evidence of durability on clay despite the accumulated minutes. Berrettini, ranked 92, posts a higher Elo (1677.3) but a lower form index (53.12); he has no minutes logged in this tournament so fatigue is minimal. The most striking contrasts are serve and return: Berrettini’s mean serve index (98.98) is far superior to Prizmic’s (60.43), and his mean return index (87.31) also outpaces Prizmic by a wide margin — both differences exceed 5 points and will be decisive. Surface strength indices are nearly identical, so the match will pivot on Berrettini’s serving power and ability to shorten points versus Prizmic’s steadier clay returns.

Total Games Predictions

🎾
Expected Total Games in Match 23.8 Most likely outcome: 23 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Dino Prizmic 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 Dino Prizmic 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 (Dino Prizmic - Matteo Berrettini) -2.3 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 Dino Prizmic versus Matteo Berrettini. Positive values indicate Dino Prizmic 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 Dino Prizmic versus Matteo Berrettini. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction is modest for clay: the match has predicted aces of about 8.47 total, reflecting slower surface conditions that blunt serve speed. Given the expected long points, the double faults prediction points to roughly 4.59 expected double faults; Berrettini’s very high serve index suggests he will account for the bulk of the aces even if clay reduces them. This expected double faults figure also reflects potential pressure moments on serve during tight games.
🎯
Expected Total Aces 8.5 Most likely: 8 aces
Expected Total Double Faults 4.6 Most likely: 4 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Dino Prizmic 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 Dino Prizmic 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 Dino Prizmic 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 Dino Prizmic versus Matteo Berrettini. The curve shows the cumulative probability for each double faults threshold.

Final Prediction

Berrettini’s overwhelming serve and return indices give him the edge despite lower recent form index and Prizmic’s match toughness in Madrid. Watch Berrettini’s first-serve effectiveness and how Prizmic handles short, aggressive points — that will decide the meeting.

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