Estoril Portugal Clay Atp 250 Round of 16

Andrey Rublev vs Timofey Skatov: AI Prediction | Games, Spread, Aces & Double Faults

Andrey Rublev

Rank: #14
86%
VS

Timofey Skatov

Rank: #163
14%
Expected Total Games: 25.1
Predicted Winner: Andrey Rublev

Why the Model Favors Andrey Rublev

The factors that drove this prediction, measured in win-probability points.

Recent record by level +10.1 Andrey Rublev
Recent form +9.9 Andrey Rublev
Overall strength +6.8 Andrey Rublev
Serve & return game +5.2 Andrey Rublev
Surface fit +4.8 Andrey Rublev

Starting from an even matchup, these factors move the model to 86% for Andrey Rublev. Computed with gradient-based attribution on our neural network — not editorial opinion. How to read this →

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Player Metrics

Andrey Rublev

Form Index: 45.8
ELO Rating: 1806.8
Glicko2 Rating: 1847.6
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 31.5
Clay: 39.4
Grass: 22.9
Serve Rating: 96.9
Return Rating: 89.6

Timofey Skatov

Form Index: 48.0
ELO Rating: 1578.0
Glicko2 Rating: 1614.6
Current Fatigue (minutes): 412.0
Surface Strength:
Hard: 6.5
Clay: 13.3
Grass: 10.5
Serve Rating: 94.8
Return Rating: 87.5

Recent Matches

Andrey Rublev

Timofey Skatov

  • Last Match: vs Jesper de Jong (2-1) clay Estoril 148 min
  • 2nd Last Match: vs Pedro Martinez (0-2) clay Estoril 89 min
  • 3rd Last Match: vs Joao Domingues (2-1) clay Estoril 175 min
  • 4th Last Match: vs Raphael Collignon (1-2) clay Gstaad 158 min
  • 5th Last Match: vs Vitaliy Sachko (2-0) clay Gstaad 81 min

Head-to-Head (Last 2 Seasons)

0
Andrey Rublev
vs
0
Timofey Skatov
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

At Estoril in Portugal, Round of 16 on clay at an ATP 250 event, Andrey Rublev is heavily favored to advance. The model projects Rublev to win with an 86.02% probability against Timofey Skatov’s 13.98%, with a predicted total of about 25.14 games in the match.

Match Analysis

The model’s edge for Rublev is driven primarily by his recent results at this level and current form — together accounting for roughly 20 percentage points of the prediction — and is reinforced by overall strength, serve/return metrics and surface fit. Rublev (rank 14, Elo 1806.8) arrives off three straight wins on clay in Bastad, including a solid straight-sets victory over Luciano Darderi and a tough 3-set win over Alejandro Tabilo. His form index sits at 45.8 and his surface strength index is 39.4, indicating comfortable clay competence and consistent play entering Estoril. He has no cumulative fatigue from this tournament. Skatov (rank 163, Elo 1578.0) has shown resilience in Estoril — two wins and a loss in his last three — and posts a slightly higher form index (47.96), but his surface strength index is low at 13.33. He also carries significant tournament fatigue (412 minutes on court), which matters on slow clay where longer rallies sap energy. Serve and return indices are comparable: Rublev’s mean serve 96.94 vs Skatov 94.77, and return 89.64 vs 87.49, so neither enjoys a clear serving or returning dominance by the >5-point threshold. Recent match lengths further underline the contrast: Rublev’s wins were efficient overall, while Skatov’s route through Estoril has been physically taxing, including a 148- and 175-minute encounter.

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

Probability distribution chart for total games in Andrey Rublev versus Timofey Skatov. 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 Andrey Rublev versus Timofey Skatov. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Andrey Rublev - Timofey Skatov) +4.4 Most likely spread: +5 (Andrey Rublev wins 5 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Andrey Rublev versus Timofey Skatov. Positive values indicate Andrey Rublev winning more games, negative values indicate Timofey Skatov winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Andrey Rublev versus Timofey Skatov. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction for this clay clash is modest: the match’s predicted aces total is 9.21. Clay typically suppresses serve speed and reduces ace opportunities, which aligns with this predicted aces number. The model’s double faults prediction is 3.55 expected double faults; longer, grinding points on clay can elevate the chance of second-serve errors. Neither player’s serve rating is markedly higher to dramatically alter the predicted aces.
🎯
Expected Total Aces 9.2 Most likely: 9 aces
Expected Total Double Faults 3.5 Most likely: 3 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Andrey Rublev versus Timofey Skatov. 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 Andrey Rublev versus Timofey Skatov. 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 Andrey Rublev versus Timofey Skatov. 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 Andrey Rublev versus Timofey Skatov. The curve shows the cumulative probability for each double faults threshold.

🎯 Match Format Predictions

Tiebreak Likelihood

Probability that any tiebreak is played in this match

33.6% Predicted: No tiebreak

Exact Score Distribution BO3

Probability of each set-by-set outcome (Andrey Rublev's perspective)

2-0 Most likely set score (53.3%)
Probability distribution of the final set score from Andrey Rublev's perspective. Format: BO3.

Final Prediction

Rublev’s edge comes first and foremost from his superior recent record at this level and consistent form. Watch his early return pressure and Skatov’s fitness level — fatigue on clay is the key variable that could influence how competitive the second set becomes.

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