Rome Italy Clay Masters 1000 Round of 16

Luciano Darderi vs Alexander Zverev: AI Prediction | Games, Spread, Aces & Double Faults

Luciano Darderi

Rank: #20
22%
VS

Alexander Zverev

Rank: #3
78%
Expected Total Games: 25.7
Predicted Winner: Alexander Zverev

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

Luciano Darderi

Form Index: 48.7
ELO Rating: 1726.3
Glicko2 Rating: 1776.3
Current Fatigue (minutes): 233.0
Surface Strength:
Hard: 20.5
Clay: 30.8
Grass: 15.6
Serve Rating: 95.3
Return Rating: 89.7

Alexander Zverev

Form Index: 68.1
ELO Rating: 2105.8
Glicko2 Rating: 2066.8
Current Fatigue (minutes): 177.0
Surface Strength:
Hard: 54.5
Clay: 49.5
Grass: 38.7
Serve Rating: 95.2
Return Rating: 86.0

Recent Matches

Luciano Darderi

Alexander Zverev

Head-to-Head (Last 2 Seasons)

0
Luciano Darderi
vs
0
Alexander Zverev
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

In the Rome Masters 1000 round of 16 on clay, Luciano Darderi faces Alexander Zverev with a place in the quarterfinals at stake. The model favors Zverev to win (78.49%) over Darderi (21.51%), with a predicted total of about 25.73 games in the match.

Match Analysis

Zverev arrives as the clear higher-ranked and higher-rated player: world No. 3 with an Elo of 2105.8, versus Darderi at No. 20 and an Elo of 1726.3. Zverev’s form index (68.07) comfortably outstrips Darderi’s (48.73) and his surface strength index (49.48) is substantially higher than Darderi’s 30.81, suggesting Zverev is better adapted to clay conditions in this matchup. Both players show nearly identical mean serve indices (95.24 vs 95.26), so there’s no strong serving edge on paper; return indices are also close enough that neither enjoys a marked advantage by the >5-point rule. Fatigue is noteworthy: Darderi has logged 233 minutes in the tournament so far, including a gruelling 143-minute win over Tommy Paul, while Zverev has been fresher at 177 minutes. Looking at recent form, Darderi has momentum in Rome with back-to-back wins over Yannick Hanfmann (90 minutes) and Tommy Paul (143 minutes) after a loss to Francisco Cerundolo in Madrid. Those matches show resilience but also cumulative wear. Zverev has been efficient in Rome—straight-set victories over Daniel Altmaier (104 minutes) and Alexander Blockx (73 minutes)—bookended by a straight-sets loss to Jannik Sinner in Madrid. The contrast is durability versus efficiency: Darderi’s wins came through longer, tougher encounters; Zverev’s were shorter and cleaner.

Total Games Predictions

🎾
Expected Total Games in Match 25.7 Most likely outcome: 25 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Luciano Darderi versus Alexander Zverev. 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 Luciano Darderi versus Alexander Zverev. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Luciano Darderi - Alexander Zverev) -3.1 Most likely spread: -4 (Alexander Zverev wins 4 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Luciano Darderi versus Alexander Zverev. Positive values indicate Luciano Darderi winning more games, negative values indicate Alexander Zverev winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Luciano Darderi versus Alexander Zverev. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction for this match is modest: the model’s predicted aces total is 10.83, and the expected double faults number is 3.89. On clay, slower ball speed and higher bounce typically suppress aces and can elevate the incidence of double faults as matches lengthen, which aligns with this predicted aces and expected double faults profile. With both players showing almost identical serve indices, there’s no clear single-server driving the ace count higher.
🎯
Expected Total Aces 10.8 Most likely: 10 aces
Expected Total Double Faults 3.9 Most likely: 3 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Luciano Darderi versus Alexander Zverev. 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 Luciano Darderi versus Alexander Zverev. 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 Luciano Darderi versus Alexander Zverev. 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 Luciano Darderi versus Alexander Zverev. 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

42.5% Predicted: No tiebreak

Exact Score Distribution BO3

Probability of each set-by-set outcome (Luciano Darderi's perspective)

0-2 Most likely set score (51.8%)
Probability distribution of the final set score from Luciano Darderi's perspective. Format: BO3.

Final Prediction

Zverev’s superior Elo, ranking, form and stronger clay profile give him the edge, compounded by less cumulative court time in Rome. Keep an eye on Darderi’s energy late in rallies and his ability to convert return opportunities—if he can sustain intensity, he’s the likeliest source of trouble for Zverev.

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