Gstaad Switzerland Clay Atp 250 Round of 16

Jaime Faria vs Casper Ruud: AI Prediction | Games, Spread, Aces & Double Faults

Jaime Faria

Rank: #92
34%
VS

Casper Ruud

Rank: #13
66%
Expected Total Games: 22.9
Predicted Winner: Casper Ruud

Why the Model Favors Casper Ruud

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

Recent record by level +10.1 Casper Ruud
Overall strength +5.9 Casper Ruud
Serve & return game +4.0 Casper Ruud
Recent form +3.1 Jaime Faria
Age +2.5 Jaime Faria

Starting from an even matchup, these factors move the model to 66% for Casper Ruud. Computed with gradient-based attribution on our neural network — not editorial opinion. How to read this →

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Player Metrics

Jaime Faria

Form Index: 78.4
ELO Rating: 1774.1
Glicko2 Rating: 1818.0
Current Fatigue (minutes): 157.0
Surface Strength:
Hard: 24.9
Clay: 26.0
Grass: 20.3
Serve Rating: 95.2
Return Rating: 92.4

Casper Ruud

Form Index: 38.0
ELO Rating: 1844.1
Glicko2 Rating: 1865.1
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 31.1
Clay: 44.4
Grass: 22.2
Serve Rating: 96.4
Return Rating: 87.9

Recent Matches

Jaime Faria

  • Last Match: vs Stan Wawrinka (2-1) clay Gstaad 157 min
  • 2nd Last Match: vs Zizou Bergs (1-3) grass Wimbledon 174 min
  • 3rd Last Match: vs Sho Shimabukuro (3-1) grass Wimbledon 174 min
  • 4th Last Match: vs Rei Sakamoto (3-1) grass Wimbledon 174 min
  • 5th Last Match: vs Luka Pavlovic (2-0) grass Wimbledon 174 min

Casper Ruud

  • Last Match: vs Hubert Hurkacz (0-3) grass Wimbledon 174 min
  • 2nd Last Match: vs Joao Fonseca (1-3) clay Roland Garros 174 min
  • 3rd Last Match: vs Tommy Paul (3-2) clay Roland Garros 174 min
  • 4th Last Match: vs Hamad Medjedovic (3-0) clay Roland Garros 174 min
  • 5th Last Match: vs Roman Safiullin (3-2) clay Roland Garros 174 min

Head-to-Head (Last 2 Seasons)

0
Jaime Faria
vs
0
Casper Ruud
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

In the round of 16 in Gstaad, Switzerland (clay, ATP 250), Casper Ruud is favored to advance against Jaime Faria. The model projects Ruud to win with a 65.94% probability to Faria’s 34.06%, and expects a relatively short match of about 22.92 games.

Match Analysis

The model’s edge for Ruud comes mainly from his recent record by level (+10.1 percentage points), backed by overall strength (+5.9) and serve & return game (+4.0). Those drivers align with Ruud’s higher ranking (No. 13) and superior Elo (1844.09 vs Faria’s 1774.13). Ruud also posts a noticeably stronger clay profile (surface strength index 44.39 to Faria’s 26.03), which matters on the slow, high-bounce courts of Gstaad. Jaime Faria’s recent form and age nudged the probability toward him (+3.1 and +2.5 respectively), reflecting his strong run this week and the experience he brings to these conditions. Looking at the underlying figures, Faria arrives with a higher proprietary form index (78.44 to Ruud’s 37.99) and excellent return metrics (mean return index 92.41), which helps explain his upset potential. However Faria has accumulated 157 minutes on court already in this tournament while Ruud shows 0 minutes of fatigue here, a contrast the model penalizes for match endurance. Serve indexes are similar (Faria 95.16, Ruud 96.42), and neither exceeds the other by a margin greater than five points. Over the last three matches, Faria has a win over Stan Wawrinka in Gstaad and mixed results at Wimbledon; Ruud has a recent quality win at Roland Garros but two tough losses in his last pair of majors.

Total Games Predictions

🎾
Expected Total Games in Match 22.9 Most likely outcome: 22 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Jaime Faria versus Casper Ruud. 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 Jaime Faria versus Casper Ruud. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Jaime Faria - Casper Ruud) -1.4 Most likely spread: -2 (Casper Ruud wins 2 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Jaime Faria versus Casper Ruud. Positive values indicate Jaime Faria winning more games, negative values indicate Casper Ruud winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Jaime Faria versus Casper Ruud. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction is modest: the model’s predicted aces for the match is 11.95. The double faults prediction is also highlighted, with expected double faults at 6.6. On slow clay, predicted aces should be suppressed compared with faster surfaces, while expected double faults can rise as longer rallies and fatigue set in. Neither player holds a significantly higher serve rating, so the slightly higher serve index for Ruud is unlikely to swing the ace count dramatically.
🎯
Expected Total Aces 11.9 Most likely: 11 aces
Expected Total Double Faults 6.6 Most likely: 6 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Jaime Faria versus Casper Ruud. 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 Jaime Faria versus Casper Ruud. 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 Jaime Faria versus Casper Ruud. 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 Jaime Faria versus Casper Ruud. 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

43.0% Predicted: No tiebreak

Exact Score Distribution BO3

Probability of each set-by-set outcome (Jaime Faria's perspective)

0-2 Most likely set score (34.5%)
Probability distribution of the final set score from Jaime Faria's perspective. Format: BO3.

Final Prediction

Ruud’s advantage is driven chiefly by the model’s top factor: recent record by level, supported by his higher overall strength and clay credentials. Watch Faria’s physical freshness and return aggression — if his energy holds after 157 minutes of court time, he’s the likeliest source of an upset.

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