Dubai U.A.E. Hard Atp 500 Round of 32

Andrey Rublev vs Valentin Royer: AI Prediction | Games, Aces & Double Faults

Andrey Rublev

Rank: #18
66%
VS

Valentin Royer

Rank: #54
34%
Expected Total Games: 23.9
Predicted Winner: Andrey Rublev

Ranking Trends

Andrey Rublev

  • Current Rank: #18 (2026-02-23)
  • 3 Months Ago: #16 (2025-11-24)
  • 6 Months Ago: #15 (2025-08-25)
  • 9 Months Ago: #15 (2025-05-26)
  • 12 Months Ago: #9 (2025-02-24)

Valentin Royer

  • Current Rank: #54 (2026-02-23)
  • 3 Months Ago: #58 (2025-11-24)
  • 6 Months Ago: #98 (2025-08-25)
  • 9 Months Ago: #120 (2025-05-26)
  • 12 Months Ago: #182 (2025-02-24)

Player Metrics

Andrey Rublev

Form Index: 65.7
ELO Rating: 2401.2
Glicko2 Rating: 1854.2
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 13.4
Clay: 18.8
Grass: 20.0
Serve Rating: 74.9
Return Rating: 44.4

Valentin Royer

Form Index: 24.8
ELO Rating: 850.0
Glicko2 Rating: 1522.4
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 7.2
Clay: 7.0
Grass: 8.5
Serve Rating: 98.3
Return Rating: 91.0

Recent Matches

Andrey Rublev
❌ ✅ ✅ ✅ ❌

  • Last Match: ❌ vs Carlos Alcaraz (0-2) hard Doha 122 min
  • 2nd Last Match: ✅ vs Stefanos Tsitsipas (2-0) hard Doha 95 min
  • 3rd Last Match: ✅ vs Fabian Marozsan (2-0) hard Doha 67 min
  • 4th Last Match: ✅ vs Jesper de Jong (2-0) hard Doha 78 min
  • 5th Last Match: ❌ vs Francisco Cerundolo (0-3) hard Australian Open 174 min

Valentin Royer
❌ ✅ ❌ ❌ ❌

  • Last Match: ❌ vs Carlos Alcaraz (0-2) hard Doha 95 min
  • 2nd Last Match: ✅ vs Pierre-Hugues Herbert (1-0) hard Doha 62 min
  • 3rd Last Match: ❌ vs Christopher O'Connell (1-2) hard Rotterdam 172 min
  • 4th Last Match: ❌ vs Arthur Fils (1-2) hard Montpellier 152 min
  • 5th Last Match: ❌ vs Taylor Fritz (1-3) hard Australian Open 174 min

Head-to-Head (Last 2 Seasons)

0
Andrey Rublev
vs
1
Valentin Royer
Hard
0 - 1
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

This round-of-32 clash in Dubai, U.A.E., is on hard courts at a 500-level event. The model projects Andrey Rublev to win (66.14% probability) against Valentin Royer (33.86%), with a predicted total of about 23.85 games in the match.

Match Analysis

Rublev arrives as the higher-ranked player (No. 18) with a strong form index (65.72) and an Elo of 2401.15. His surface strength index on hard courts is 13.43 and his mean serve index is 74.90; fatigue is minimal with no minutes logged in the current event. Royer is ranked 54, carries a lower form index (24.80) and a much lower Elo (849.97). His surface strength index is 7.17 and fatigue is also zero. The difference in mean serve index between the two is notable (about 23 points) and the difference in mean return index is also large (Rublev 44.37 vs Royer 90.99), both exceeding the 5-point threshold and likely to be decisive in certain phases of the match. Looking at recent results, Rublev has won two straight matches in Doha prior to a loss to Carlos Alcaraz, showing generally solid recent form with straight-set wins over Fabian Marozsan and Stefanos Tsitsipas. Royer’s last three matches include a win over Pierre-Hugues Herbert and defeats to Christopher O’Connell and Carlos Alcaraz; his long 172-minute match in Rotterdam indicates he can be tested in extended encounters but has been inconsistent.

Total Games Predictions

🎾
Expected Total Games in Match 23.9 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 10.57 total, and the predicted aces skew toward the player with the stronger serve rating. The expected double faults are 4.47 for the match. On medium-paced hard courts, the surface produces a moderate number of aces compared with grass or clay; Royer’s significantly higher serve index suggests he could lift the predicted aces, while double faults remain modest.
🎯
Expected Total Aces 10.6 Most likely: 10 aces
❌
Expected Total Double Faults 4.5 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

New to probability charts? Learn how to interpret distribution and CDF curves

Final Prediction

Rublev’s superior Elo, higher recent form and cleaner match outcomes give him the edge in this projection. Watch the serve-return matchup—Royer’s powerful serve and unusually high return index are the key wildcards that could alter the expected script.

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