Monte Carlo Monaco Clay Masters 1000 Round of 32

Daniil Medvedev vs Matteo Berrettini: AI Prediction | Games, Spread, Aces & Double Faults

Daniil Medvedev

Rank: #10
70%
VS

Matteo Berrettini

Rank: #91
30%
Expected Total Games: 23.4
Predicted Winner: Daniil Medvedev

Also available in Claude. Query these predictions in plain language — our native connector lets Claude call our models on demand, no code.

Set it up

Player Metrics

Daniil Medvedev

Form Index: 49.2
ELO Rating: 2001.3
Glicko2 Rating: 1968.2
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 67.7
Clay: 44.2
Grass: 44.9
Serve Rating: 76.1
Return Rating: 66.5

Matteo Berrettini

Form Index: 55.4
ELO Rating: 1653.6
Glicko2 Rating: 1676.0
Current Fatigue (minutes): 23.0
Surface Strength:
Hard: 58.1
Clay: 41.5
Grass: 40.2
Serve Rating: 99.3
Return Rating: 87.4

Recent Matches

Daniil Medvedev

Matteo Berrettini

Head-to-Head (Last 2 Seasons)

0
Daniil Medvedev
vs
0
Matteo Berrettini
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Monte‑Carlo, Round of 32 on clay — a Masters 1000 showdown between Daniil Medvedev and Matteo Berrettini. The model projects Medvedev to take the match with a 70.26% chance, Berrettini at 29.74%, and a predicted total of about 23.5 games in the encounter.

Match Analysis

Medvedev arrives as the higher-ranked player (No. 10) with a substantially stronger Elo (2001.33 vs 1653.55) and no accumulated fatigue from this event, which matters over long clay rallies. His form index is 49.15 and his surface strength index sits at 44.15 — respectable but not dominant on clay. Berrettini is down the rankings at 91, but shows a slightly higher recent form index (55.42) and carried 23 minutes of court time into this round. Their mean serve indices differ markedly: Berrettini’s 99.32 versus Medvedev’s 76.05 — a gap of more than 20 points that underlines Berrettini’s status as the bigger server. Their mean return indices also diverge by roughly 21 points in Berrettini’s favor (87.39 vs 66.55), an unusual combination that suggests both players bring distinct weapons to the court. Over the last three matches the patterns are mixed. Medvedev’s recent results across hard events show inconsistency: he has recorded one win and two defeats in the listed matches, mixing routine wins with tough losses against top opponents and clocking lengthy matches. Berrettini’s three‑match log also shows one win and two losses, including a short first‑round victory in Monte‑Carlo and a marathon match in Marrakech, indicating match‑to‑match variability and some recent court time on clay.

Total Games Predictions

🎾
Expected Total Games in Match 23.4 Most likely outcome: 23 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Daniil Medvedev 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 Daniil Medvedev 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 (Daniil Medvedev - Matteo Berrettini) +1.7 Most likely spread: +1 (Daniil Medvedev wins 1 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

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

Aces and Double Faults Predictions

The aces prediction for this match is moderate: the model’s predicted aces total is about 13.3 while the expected double faults are roughly 7.7. On clay, the slower surface typically reduces ace opportunities and inflates serve‑related errors — so the predicted aces reflect that surface effect and the expected double faults align with clay’s physical demands. Given Berrettini’s significantly higher serve rating, he is likely to supply a large share of the match’s aces, but clay will blunt that edge.
🎯
Expected Total Aces 13.3 Most likely: 13 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 Daniil Medvedev 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 Daniil Medvedev 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 Daniil Medvedev 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 Daniil Medvedev versus Matteo Berrettini. The curve shows the cumulative probability for each double faults threshold.

Final Prediction

Medvedev’s edge rests on superior Elo, higher ranking and the freshness factor coming into the match; those elements drive the projected 70% probability. The key factor to watch is whether Medvedev can neutralize Berrettini’s serve early — breaking rhythm will be pivotal in a short, tactical clay contest.

Get Daily Tennis Predictions

Enjoyed this analysis? Subscribe to our Telegram channel and receive daily AI-driven tennis predictions directly on your phone.

Join Our Telegram Channel