Marrakech Morocco Clay Atp 250 Quarterfinals

Corentin Moutet vs Marco Trungelliti: AI Prediction | Games, Spread, Aces & Double Faults

Corentin Moutet

Rank: #32
64%
VS

Marco Trungelliti

Rank: #117
36%
Expected Total Games: 23.0
Predicted Winner: Corentin Moutet

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Player Metrics

Corentin Moutet

Form Index: 52.5
ELO Rating: 1688.9
Glicko2 Rating: 1713.5
Current Fatigue (minutes): 64.0
Surface Strength:
Hard: 56.7
Clay: 42.1
Grass: 43.7
Serve Rating: 66.6
Return Rating: 70.3

Marco Trungelliti

Form Index: 69.2
ELO Rating: 1618.1
Glicko2 Rating: 1690.1
Current Fatigue (minutes): 415.0
Surface Strength:
Hard: 51.4
Clay: 39.0
Grass: 39.9
Serve Rating: 95.9
Return Rating: 91.2

Recent Matches

Corentin Moutet

  • Last Match: vs Taha Baadi (1-0) clay Marrakech 64 min
  • 2nd Last Match: vs Jannik Sinner (0-2) hard Miami 71 min
  • 3rd Last Match: vs Tomas Machac (0-2) hard Miami 108 min
  • 4th Last Match: vs Aleksandar Kovacevic (0-2) hard Indian Wells 100 min
  • 5th Last Match: vs Alexander Zverev (0-2) hard Acapulco 91 min

Marco Trungelliti

  • Last Match: vs Kamil Majchrzak (2-0) clay Marrakech 107 min
  • 2nd Last Match: vs Henrique Rocha (2-0) clay Marrakech 96 min
  • 3rd Last Match: vs Rei Sakamoto (2-0) clay Marrakech 123 min
  • 4th Last Match: vs Hynek Barton (2-0) clay Marrakech 89 min
  • 5th Last Match: vs Luca Nardi (1-2) hard Dubai 122 min

Head-to-Head (Last 2 Seasons)

0
Corentin Moutet
vs
0
Marco Trungelliti
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Quarterfinal action in Marrakech, Morocco sees Corentin Moutet face Marco Trungelliti on clay at a 250-level tournament. The model favors Moutet as the winner (63.72% chance) over Trungelliti (36.28%), with a predicted total of 22.98 games in the match.

Match Analysis

Moutet arrives as the higher-ranked player (No. 32) with a superior Elo (≈1689) compared with Trungelliti (rank 117, Elo ≈1618). Moutet’s recent form index sits at 52.5 and his surface strength on clay is moderate (≈42.1). He has logged 64 minutes on court so far in Marrakech, indicating relatively low cumulative fatigue (64 minutes). Trungelliti posts a stronger form index (≈69.2) and similar clay surface strength (≈39.0), but carries heavy fatigue through the event (415 minutes), after three consecutive wins in Marrakech. Serve and return profiles show clear contrasts: Trungelliti’s mean serve index (≈95.9) and mean return index (≈91.2) are both markedly higher than Moutet’s (serve ≈66.6, return ≈70.3), differences well in excess of 5 points. That gap suggests Trungelliti can produce more free points on serve and be aggressive on return, while Moutet’s edge comes from ranking, Elo and fresher legs. Over their last three matches, Trungelliti has been unbeaten in Marrakech — three straight wins, generally longer matches — whereas Moutet has one recent clay win at this event but mixed results in the warm-up hard-court swing.

Total Games Predictions

🎾
Expected Total Games in Match 23.0 Most likely outcome: 22 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Corentin Moutet versus Marco Trungelliti. 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 Corentin Moutet versus Marco Trungelliti. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Corentin Moutet - Marco Trungelliti) -1.9 Most likely spread: -2 (Marco Trungelliti wins 2 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Corentin Moutet versus Marco Trungelliti. Positive values indicate Corentin Moutet winning more games, negative values indicate Marco Trungelliti winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Corentin Moutet versus Marco Trungelliti. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction for this clay quarterfinal is modest: predicted aces ≈9.01 for the match, with an expected double faults total of ≈5.14. Clay’s slower bounce tends to suppress ace rates, so the predicted aces reflect surface influence, even though Trungelliti’s significantly higher serve rating could lift the ace count relative to typical clay levels. The expected double faults figure also reflects potential fatigue effects—expected double faults may climb if longer rallies and tired servers lead to loose second serves.
🎯
Expected Total Aces 9.0 Most likely: 9 aces
Expected Total Double Faults 5.1 Most likely: 5 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Corentin Moutet versus Marco Trungelliti. 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 Corentin Moutet versus Marco Trungelliti. 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 Corentin Moutet versus Marco Trungelliti. 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 Corentin Moutet versus Marco Trungelliti. The curve shows the cumulative probability for each double faults threshold.

Final Prediction

Moutet’s combination of higher ranking, better Elo and notably lower tournament fatigue gives him the edge in the model despite Trungelliti’s hot form and superior serve/return metrics. The key factor to watch is whether Trungelliti’s heavy workload blunts the power and consistency that his serve/return indices promise.

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