Doha Qatar Hard Atp 500 Round of 32

Zizou Bergs vs Giovanni Mpetshi Perricard: AI Prediction | Games, Aces & Double Faults

Zizou Bergs

Rank: #39
42%
VS

Giovanni Mpetshi Perricard

Rank: #56
58%
Expected Total Games: 25.1
Predicted Winner: Giovanni Mpetshi Perricard

Player Metrics

Zizou Bergs

Form Index: 18.2
ELO Rating: 1054.4
Glicko2 Rating: 1573.5
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 7.1
Clay: 8.8
Grass: 8.9
Serve Rating: 80.0
Return Rating: 75.7

Giovanni Mpetshi Perricard

Form Index: 16.0
ELO Rating: 907.8
Glicko2 Rating: 1652.3
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 8.4
Clay: 7.9
Grass: 7.2
Serve Rating: 99.8
Return Rating: 83.5

Recent Matches

Zizou Bergs

  • Last Match: vs Hamad Medjedovic (0-2) hard Rotterdam 139 min
  • 2nd Last Match: vs Hubert Hurkacz (1-3) hard Australian Open 174 min
  • 3rd Last Match: vs Jannik Sinner (0-2) hard Paris 87 min
  • 4th Last Match: vs Alex Michelsen (2-1) hard Paris 112 min
  • 5th Last Match: vs Raphael Collignon (0-2) hard Brussels 119 min

Giovanni Mpetshi Perricard

  • Last Match: vs Tallon Griekspoor (0-2) hard Rotterdam 72 min
  • 2nd Last Match: vs Arthur Gea (0-1) hard Montpellier 39 min
  • 3rd Last Match: vs Sebastian Baez (2-3) hard Australian Open 174 min
  • 4th Last Match: vs Jakub Mensik (0-2) hard Auckland 65 min
  • 5th Last Match: vs Cameron Norrie (2-1) hard Auckland 122 min

Head-to-Head (Last 2 Seasons)

0
Zizou Bergs
vs
1
Giovanni Mpetshi Perricard
Hard
0 - 0
Clay
0 - 1
Grass
0 - 0

Key Prediction Insights

Doha, Qatar — round of 32 on outdoor hard courts at a 500-level event. Giovanni Mpetshi Perricard is the narrow favorite here: predicted winner Giovanni Mpetshi Perricard (58.43%) vs Zizou Bergs (41.57%), with an expected total of about 25.14 games in the match.

Match Analysis

Rank and ratings paint an intriguing picture: Zizou Bergs arrives as the higher-ranked player (No. 39) and carries a stronger Elo (1054.36) compared with Giovanni (rank 56, Elo 907.78). Both players show low recent form indices (Bergs 18.18, Giovanni 16.02) and no accumulated fatigue from this event (0.0 minutes on court). Surface strength indices are close (Bergs 7.13, Giovanni 8.43), suggesting neither has a clear hard-court superiority from the proprietary surface metric. Serving and returning metrics tilt toward Giovanni in key areas. His mean serve index (99.84) is markedly higher than Bergs’ (80.03) — a difference greater than 5 points — and his mean return index (83.54) also exceeds Bergs’ (75.67) by more than 5 points. Those gaps indicate Giovanni combines a more potent serve with a better return profile in the underlying indices. Recent match results show both players have struggled: Bergs lost to Medjedovic, Hurkacz and Sinner in his last three hard-court outings, while Giovanni has also posted three defeats recently (including a long five-set affair at the Australian Open). Match durations in their recent sample include long efforts (notably two 174-minute matches), but current fatigue is recorded as zero.

Total Games Predictions

🎾
Expected Total Games in Match 25.1 Most likely outcome: 25 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

Aces prediction: the model expects roughly 15.35 aces in the match overall; predicted aces lean toward a higher count given Giovanni’s very strong serve index. Double faults prediction: expected double faults are about 3.91 for the contest, a modest number on hard courts. The medium-paced hard surface typically yields a balanced ace count compared with grass or clay, and Giovanni’s significantly higher serve rating should be the main driver of the ace tally.
🎯
Expected Total Aces 15.3 Most likely: 15 aces
Expected Total Double Faults 3.9 Most likely: 3 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

Giovanni Mpetshi Perricard’s superior serve and stronger return metric are the principal reasons he holds the edge in this projection. The clearest factor to watch will be serve effectiveness — how often Giovanni converts free points on serve and whether Bergs can generate enough early returns to create break opportunities.

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