Rotterdam Netherlands Hard Atp 500 Round of 32

Daniil Medvedev vs Ugo Humbert: AI Prediction | Games, Aces & Double Faults

Daniil Medvedev

Rank: #11
62%
VS

Ugo Humbert

Rank: #38
38%
Expected Total Games: 23.2
Predicted Winner: Daniil Medvedev

Player Metrics

Daniil Medvedev

Form Index: 64.4
ELO Rating: 2582.3
Glicko2 Rating: 2001.6
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 13.4
Clay: 20.8
Grass: 21.0
Serve Rating: 71.6
Return Rating: 37.7

Ugo Humbert

Form Index: 35.0
ELO Rating: 1395.6
Glicko2 Rating: 1765.3
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 12.7
Clay: 10.2
Grass: 10.5
Serve Rating: 98.0
Return Rating: 90.5

Recent Matches

Daniil Medvedev

  • Last Match: vs Learner Tien (0-3) hard Australian Open 174 min
  • 2nd Last Match: vs Fabian Marozsan (3-2) hard Australian Open 174 min
  • 3rd Last Match: vs Quentin Halys (3-1) hard Australian Open 174 min
  • 4th Last Match: vs Jesper de Jong (3-0) hard Australian Open 174 min
  • 5th Last Match: vs Brandon Nakashima (2-0) hard Brisbane 95 min

Ugo Humbert

  • Last Match: vs Adrian Mannarino (1-2) hard Montpellier 167 min
  • 2nd Last Match: vs Botic van de Zandschulp (2-0) hard Montpellier 72 min
  • 3rd Last Match: vs Ben Shelton (0-3) hard Australian Open 174 min
  • 4th Last Match: vs Tomas Machac (1-2) hard Adelaide 143 min
  • 5th Last Match: vs Alejandro Davidovich Fokina (2-1) hard Adelaide 152 min

Head-to-Head (Last 2 Seasons)

0
Daniil Medvedev
vs
0
Ugo Humbert
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Rotterdam, Netherlands — round of 32 on indoor hard courts at an ATP 500 event. Daniil Medvedev is favored to win this meeting, with a 61.64% probability versus Ugo Humbert’s 38.36%. The model projects a relatively short encounter with an expected 23.23 total games.

Match Analysis

Medvedev comes in as the higher-ranked player (No. 11) with a strong Elo (2582.35) and a healthy form index (64.38). He shows no accumulated fatigue in the event and posts a solid mean serve index (71.65) and a modest mean return index (37.70). His surface strength index on hard courts is 13.39, indicating a similar comfort level on this surface compared with his opponent. Humbert is ranked 38 with a lower form index (34.97) and a substantially lower Elo (1395.63). He likewise reports zero fatigue and has a comparable surface strength index (12.72). The difference in mean serve index is notable: Humbert’s serving metric (98.04) is roughly 26 points higher than Medvedev’s, and his mean return index (90.54) outstrips Medvedev’s by over 52 points — both gaps exceed 5 points and are likely to shape key tactical matchups. Looking at recent results, Medvedev has gone 2–1 in his last three matches, with wins against Quentin Halys and Fabian Marozsan followed by a loss to Learner Tien at the Australian Open. Humbert has a 1–2 record across his last three outings: a win over Botic van de Zandschulp in Montpellier sandwiched between losses to Adrian Mannarino and Ben Shelton. Those recent forms, combined with Elo and ranking differences, feed into the matchup probability favoring Medvedev.

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 this match is 8.89 total aces, while the double faults prediction is 6.37 overall. On a medium-paced hard court, these predicted aces are moderate—hard courts typically produce more aces than clay but fewer than grass. Given Humbert’s markedly higher serve index, he is likely to contribute a larger share of the predicted aces, which could also influence break opportunities; the expected double faults figure reflects some risk from aggressive serving.
🎯
Expected Total Aces 8.9 Most likely: 8 aces
Expected Total Double Faults 6.4 Most likely: 6 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

Medvedev’s higher ranking, much stronger Elo and steadier recent form give him the edge in the projection despite Humbert’s standout serve and return metrics. The key factor to watch will be whether Humbert’s serving power and return capacity can convert into quick holds and breaks; if so, he can narrow the gap.

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