Dubai U.A.E. Hard Atp 500 Round of 16

Felix Auger-Aliassime vs Giovanni Mpetshi Perricard: AI Prediction | Games, Aces & Double Faults

Felix Auger-Aliassime

Rank: #8
65%
VS

Giovanni Mpetshi Perricard

Rank: #58
35%
Expected Total Games: 24.1
Predicted Winner: Felix Auger-Aliassime

Player Metrics

Felix Auger-Aliassime

Form Index: 62.2
ELO Rating: 3934.2
Glicko2 Rating: 1691.0
Current Fatigue (minutes): 110.0
Surface Strength:
Hard: 25.6
Clay: 30.0
Grass: 31.6
Serve Rating: 82.8
Return Rating: 30.4

Giovanni Mpetshi Perricard

Form Index: 52.8
ELO Rating: 906.0
Glicko2 Rating: 1657.0
Current Fatigue (minutes): 339.0
Surface Strength:
Hard: 8.4
Clay: 7.9
Grass: 7.2
Serve Rating: 100.0
Return Rating: 83.7

Recent Matches

Felix Auger-Aliassime

  • Last Match: vs Zhizhen Zhang (2-0) hard Dubai 110 min
  • 2nd Last Match: vs Alex De Minaur (0-2) hard Rotterdam 78 min
  • 3rd Last Match: vs Alexander Bublik (2-0) hard Rotterdam 54 min
  • 4th Last Match: vs Tallon Griekspoor (2-0) hard Rotterdam 104 min
  • 5th Last Match: vs Hamad Medjedovic (2-0) hard Rotterdam 90 min

Giovanni Mpetshi Perricard

  • Last Match: vs Moez Echargui (2-1) hard Dubai 155 min
  • 2nd Last Match: vs Jan Choinski (2-1) hard Dubai 113 min
  • 3rd Last Match: vs Shintaro Mochizuki (2-0) hard Dubai 71 min
  • 4th Last Match: vs Zizou Bergs (1-2) hard Doha 135 min
  • 5th Last Match: vs Tallon Griekspoor (0-2) hard Rotterdam 72 min

Head-to-Head (Last 2 Seasons)

2
Felix Auger-Aliassime
vs
0
Giovanni Mpetshi Perricard
Hard
0 - 0
Clay
1 - 0
Grass
1 - 0

Key Prediction Insights

In the round of 16 in Dubai (U.A.E.) on hard courts at an ATP 500-level event, Felix Auger-Aliassime is favored to beat Giovanni Mpetshi Perricard. The model projects Felix to win with a 64.93% probability versus 35.07% for Giovanni, and expects about 24.05 total games in the match.

Match Analysis

Felix (rank 8) enters with a higher form index (62.22) and a substantially stronger Elo (3934.18) compared with Giovanni (rank 58, form 52.81, Elo 905.96). Fatigue is a notable differential: Felix has accumulated 110 minutes on court in the tournament, while Giovanni has 339 minutes, which can affect serve consistency and movement over long rallies. On hard courts Felix also posts a higher surface strength index (25.59 vs 8.38), indicating relative comfort on this surface in the provided metrics. Serve and return profiles diverge sharply: Giovanni’s mean serve index (99.96) is far higher than Felix’s (82.81), a difference above 5 points that suggests Giovanni can generate more free points on serve. Conversely, Giovanni’s mean return index (83.66) is also much higher than Felix’s (30.41), another significant gap that points to Giovanni’s effectiveness on return in these data. Recent form shows Felix with two wins and one loss in his last three hard-court matches (wins over Zhang and Bublik, loss to De Minaur). Giovanni is on a three-match winning streak in Dubai, with progressively long matches (71, 113, 155 minutes) contributing to his elevated fatigue tally.

Total Games Predictions

🎾
Expected Total Games in Match 24.1 Most likely outcome: 24 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

The aces prediction for the tie is modest: the model forecasts a total of 6.72 aces, while the expected double faults tally is 4.11. On medium-paced hard courts, this level of predicted aces is consistent with a surface that balances power and returnability. Given Giovanni’s significantly higher serve rating, the predicted aces count is likely to be influenced by his serve potency, while Felix’s lower return index could permit more serve-dominated points.
🎯
Expected Total Aces 6.7 Most likely: 6 aces
Expected Total Double Faults 4.1 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

Felix’s advantage in rank, Elo, recent form index and far lower tournament fatigue explains the model’s edge for him despite Giovanni’s powerful serve metrics. A key factor to watch is Giovanni’s serve/return effectiveness—if his serving holds up under fatigue, he can shorten points and force a tighter match.

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