Indian Wells CA, U.S.A. Hard Masters 1000 Round of 128

Matteo Berrettini vs Adrian Mannarino: AI Prediction | Games, Aces & Double Faults

Matteo Berrettini

Rank: #57
72%
VS

Adrian Mannarino

Rank: #51
28%
Expected Total Games: 23.7
Predicted Winner: Matteo Berrettini

Player Metrics

Matteo Berrettini

Form Index: 36.0
ELO Rating: 863.7
Glicko2 Rating: 1631.8
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 8.6
Clay: 7.5
Grass: 7.6
Serve Rating: 95.0
Return Rating: 39.2

Adrian Mannarino

Form Index: 35.0
ELO Rating: 807.7
Glicko2 Rating: 1576.1
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 8.8
Clay: 5.9
Grass: 7.6
Serve Rating: 97.7
Return Rating: 91.1

Recent Matches

Matteo Berrettini

  • Last Match: vs Emilio Nava (0-2) clay Santiago 86 min
  • 2nd Last Match: vs Ignacio Buse (1-2) clay Rio 139 min
  • 3rd Last Match: vs Dusan Lajovic (2-1) clay Rio 129 min
  • 4th Last Match: vs Tomas Barrios Vera (2-0) clay Rio 145 min
  • 5th Last Match: vs Vit Kopriva (0-2) clay Buenos Aires 94 min

Adrian Mannarino

  • Last Match: vs Sho Shimabukuro (0-2) hard Acapulco 78 min
  • 2nd Last Match: vs Ben Shelton (1-2) hard Dallas 160 min
  • 3rd Last Match: vs Adam Walton (2-0) hard Dallas 84 min
  • 4th Last Match: vs Felix Auger-Aliassime (0-2) hard Montpellier 95 min
  • 5th Last Match: vs Martin Damm (2-1) hard Montpellier 104 min

Head-to-Head (Last 2 Seasons)

0
Matteo Berrettini
vs
1
Adrian Mannarino
Hard
0 - 1
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

At Indian Wells (Round of 128) on the hard courts of California, Matteo Berrettini is forecast to advance in this Masters 1000 opener. The model gives Berrettini a 71.84% chance to win versus 28.16% for Adrian Mannarino, with a predicted total of about 23.7 games in the match.

Match Analysis

Berrettini arrives ranked 57 with a form index of 36.02 and an Elo of 863.66; his profile shows a powerful serving profile with a mean serve index of 95.00 and a modest surface strength index (8.64). Mannarino is ranked 51, with a similar form index (35.02) but a lower Elo (807.66). Mannarino’s mean serve index is slightly higher at 97.69, though the gap is small; the notable disparity comes on return, where Mannarino’s mean return index (91.11) towers over Berrettini’s (39.21), giving him a clear advantage when stepping in on return games. Both players report zero tournament fatigue and similar surface strength numbers, so freshness should not be a differentiator. Recent form underlines the contrast: Berrettini has one win and two losses in his last three matches, with those fixtures played on clay and a mix of straight-set and three-set results. Mannarino’s last three include one win and two losses as well, mostly on hard courts—he dropped a straight-sets match in Acapulco and suffered a three-set defeat to Ben Shelton in a longer encounter. Taken together, Berrettini’s higher Elo and elite serving profile are offset by Mannarino’s elite returning ability, setting up a duel between serve power and return precision.

Total Games Predictions

🎾
Expected Total Games in Match 23.7 Most likely outcome: 23 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Cumulative Probability (CDF)

Probability of total games ≤ X

Aces and Double Faults Predictions

This is an aces prediction worth noting: the model expects about 13.22 predicted aces in the match and an expected double faults tally of 4.4. On medium-paced hard courts, aces are moderate compared with grass but higher than on clay, fitting these numbers. Because serve ratings are close, neither player is projected to overwhelmingly dominate the ace count, so double faults prediction and serve consistency will matter in tight service games.
🎯
Expected Total Aces 13.2 Most likely: 13 aces
Expected Total Double Faults 4.4 Most likely: 4 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Cumulative Probability (CDF)

Probability of aces ≤ X

Double Faults Probability Distribution

Distribution

Probability of each double fault count outcome

Cumulative Probability (CDF)

Probability of double faults ≤ X

Final Prediction

Berrettini’s higher Elo and elite serve give him the projected edge, even though Mannarino’s return game is a clear X-factor. Watch how Mannarino handles Berrettini’s serve early—break opportunities there will likely decide whether this stays short or stretches into a longer battle.

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