Estoril Portugal Clay Atp 250 Round of 16

Jaime Faria vs Gonzalo Bueno: AI Prediction | Games, Spread, Aces & Double Faults

Jaime Faria

Rank: #88
72%
VS

Gonzalo Bueno

Rank: #180
28%
Expected Total Games: 25.1
Predicted Winner: Jaime Faria

Why the Model Favors Jaime Faria

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

Recent form +10.1 Jaime Faria
Recent record by level +7.1 Jaime Faria
Overall record & opposition quality +3.6 Jaime Faria
Overall strength +3.6 Jaime Faria
Surface fit +2.8 Jaime Faria

Starting from an even matchup, these factors move the model to 72% for Jaime Faria. 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: 68.7
ELO Rating: 1768.9
Glicko2 Rating: 1807.1
Current Fatigue (minutes): 73.0
Surface Strength:
Hard: 25.5
Clay: 26.3
Grass: 20.3
Serve Rating: 95.2
Return Rating: 88.0

Gonzalo Bueno

Form Index: 42.3
ELO Rating: 1523.4
Glicko2 Rating: 1584.2
Current Fatigue (minutes): 412.0
Surface Strength:
Hard: 12.3
Clay: 14.9
Grass: 3.1
Serve Rating: 93.2
Return Rating: 84.9

Recent Matches

Jaime Faria

  • Last Match: vs Botic van de Zandschulp (2-0) clay Estoril 73 min
  • 2nd Last Match: vs Casper Ruud (1-2) clay Gstaad 151 min
  • 3rd Last Match: vs Stan Wawrinka (2-1) clay Gstaad 157 min
  • 4th Last Match: vs Zizou Bergs (1-3) grass Wimbledon 174 min
  • 5th Last Match: vs Sho Shimabukuro (3-1) grass Wimbledon 174 min

Gonzalo Bueno

  • Last Match: vs Tiago Pereira (2-1) clay Estoril 137 min
  • 2nd Last Match: vs Andrea Pellegrino (2-1) clay Estoril 170 min
  • 3rd Last Match: vs Francisco Rocha (2-0) clay Estoril 105 min
  • 4th Last Match: vs Igor Marcondes (0-2) clay Bastad 101 min
  • 5th Last Match: vs Jerome Kym (1-2) grass Wimbledon 174 min

Head-to-Head (Last 2 Seasons)

0
Jaime Faria
vs
0
Gonzalo Bueno
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

At the Estoril clay event in Portugal, Round of 16 action pairs Jaime Faria against Gonzalo Bueno in a 250-level tournament. The forecast favors Jaime Faria (72.18% win probability) over Gonzalo Bueno (27.82%), with a predicted match length of about 25.09 total games.

Match Analysis

The model’s edge for Faria comes mainly from recent form and recent record by level: his higher form index and better results against comparable opposition tilt the balance. Faria sits at world No. 88 with a form index of 68.67 and an Elo of 1768.9, while Bueno is No. 180 with a form index of 42.32 and an Elo of 1523.4. Surface strength also favors Faria (26.30 vs 14.94), and his mean return index (88.05) is a notch above Bueno’s (84.86), suggesting Faria will be more effective in the longer rallies clay produces. Fatigue is a clear storyline: Faria has logged 73 minutes so far in this event, whereas Bueno arrives extremely tired after 412 minutes on court. That accumulation for Bueno includes long three-setters (137 and 170 minutes), which likely erodes his legs and consistency. Serve/return profiles are fairly similar—mean serve indexes of 95.21 (Faria) and 93.22 (Bueno) do not differ by more than five points—so any advantage is likely to come from baseline play and movement rather than pure serving power. Over their last three matches Faria has two wins and a tight loss to a top opponent (Ruud), while Bueno has strung together three wins at Estoril but at the cost of lengthy matches.

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 Jaime Faria versus Gonzalo Bueno. 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 Gonzalo Bueno. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Jaime Faria - Gonzalo Bueno) +3.6 Most likely spread: +4 (Jaime Faria wins 4 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

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

Probability of spread ≤ X

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

Aces and Double Faults Predictions

The aces prediction calls for about 7.89 total aces in the match and an expected double faults total near 6.84. On clay, predicted aces are generally suppressed because slower, higher bounces give returners more time; conversely the expected double faults are modestly elevated as longer rallies and fatigue take their toll. Neither player posts a significantly higher serve rating, so the ace count should remain moderate and not skew heavily toward one server.
🎯
Expected Total Aces 7.9 Most likely: 7 aces
Expected Total Double Faults 6.8 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 Gonzalo Bueno. 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 Gonzalo Bueno. 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 Gonzalo Bueno. 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 Gonzalo Bueno. 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

39.4% Predicted: No tiebreak

Exact Score Distribution BO3

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

2-0 Most likely set score (43.1%)
Probability distribution of the final set score from Jaime Faria's perspective. Format: BO3.

Final Prediction

Faria’s advantage is driven primarily by recent form and stronger results at comparable levels. Watch the fatigue differential and Faria’s return game early on—if Bueno’s legs look heavy, Faria should convert that edge into service-break opportunities.

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