Montpellier France Hard Atp 250 Round of 16

Titouan Droguet vs Aleksandar Kovacevic: AI Prediction | Games, Aces & Double Faults

Titouan Droguet

Rank: #155
43%
VS

Aleksandar Kovacevic

Rank: #56
57%
Expected Total Games: 23.2
Predicted Winner: Aleksandar Kovacevic

Player Metrics

Titouan Droguet

Form Index: 46.3
ELO Rating: 409.6
Glicko2 Rating: 1538.4
Current Fatigue (minutes): 276.0
Surface Strength:
Hard: 1.4
Clay: 3.6
Grass: 2.9
Serve Rating: 57.7
Return Rating: 48.1

Aleksandar Kovacevic

Form Index: 31.5
ELO Rating: 936.2
Glicko2 Rating: 1561.5
Current Fatigue (minutes): 114.0
Surface Strength:
Hard: 7.5
Clay: 6.6
Grass: 6.5
Serve Rating: 98.5
Return Rating: 89.1

Recent Matches

Titouan Droguet

  • Last Match: vs Jan Choinski (2-0) hard Montpellier 84 min
  • 2nd Last Match: vs Ugo Blanchet (2-1) hard Montpellier 137 min
  • 3rd Last Match: vs Robin Bertrand (2-0) hard Montpellier 55 min
  • 4th Last Match: vs Martin Damm (0-2) hard Australian Open 174 min
  • 5th Last Match: vs Marko Topo (1-2) hard Almaty 122 min

Aleksandar Kovacevic

  • Last Match: vs Moise Kouame (2-1) hard Montpellier 114 min
  • 2nd Last Match: vs Tommy Paul (0-3) hard Australian Open 174 min
  • 3rd Last Match: vs Hamad Medjedovic (1-2) hard Auckland 117 min
  • 4th Last Match: vs Brandon Nakashima (0-2) hard Brisbane 104 min
  • 5th Last Match: vs Giovanni Mpetshi Perricard (2-1) hard Brisbane 107 min

Head-to-Head (Last 2 Seasons)

0
Titouan Droguet
vs
0
Aleksandar Kovacevic
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

This round-of-16 match in Montpellier (indoor hard, 250-level event) pits France’s Titouan Droguet against Aleksandar Kovacevic. The model favors Kovacevic (57.47%) over Droguet (42.53%) and projects a relatively short encounter with an expected total of about 23.25 games.

Match Analysis

Kovacevic arrives with the higher ranking (56 vs 155) and a substantially higher Elo (936.24 vs 409.63), indicating a clear edge in career-level performance metrics. He also carries less on-court fatigue this week (114 minutes) compared with Droguet’s 276 minutes. Droguet shows a stronger recent form index (46.25) than Kovacevic (31.49), suggesting he’s playing confidently in this event despite the rank gap. On surface strength, Kovacevic (7.45) edges Droguet (1.41), though both indices are modest on the provided 0–100 scale. Serving and returning profiles differ sharply: Kovacevic’s mean serve index (98.46) is far higher than Droguet’s (57.68), a difference well above the 5-point threshold; his mean return index (89.12) also substantially outpaces Droguet’s (48.12). Those gaps point to Kovacevic’s ability to both hold serve aggressively and press on return games. Over the last three matches at hard courts this week Droguet has been impeccable — three wins (against Choinski, Blanchet and Bertrand) including a long 137-minute match — showing stamina and confidence. Kovacevic has mixed recent results: a win over Moise Kouame in Montpellier but earlier defeats to Tommy Paul and Hamad Medjedovic at other events, with longer, tiring matches in recent weeks.

Total Games Predictions

🎾
Expected Total Games in Match 23.2 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

The aces prediction for the match is about 10.06 and the predicted double faults around 5.63. Hard courts here favor a moderate ace count compared with grass or clay, so the expected aces reflect that balance. Given Kovacevic’s significantly higher serve rating, he is likely to contribute the bulk of the predicted aces, while the expected double faults may be split but could rise if pressure increases on return games.
🎯
Expected Total Aces 10.1 Most likely: 10 aces
Expected Total Double Faults 5.6 Most likely: 5 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

Kovacevic’s superior serving and return metrics combined with lower tournament fatigue give him the modeled edge. The key factor to watch is how Droguet responds to Kovacevic’s serving power and whether he can convert break opportunities early to offset the serve differential.

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