Rio Brazil Clay Atp 500 Round of 32

Jaime Faria vs Sebastian Baez: AI Prediction | Games, Aces & Double Faults

Jaime Faria

Rank: #148
39%
VS

Sebastian Baez

Rank: #34
61%
Expected Total Games: 23.4
Predicted Winner: Sebastian Baez

Player Metrics

Jaime Faria

Form Index: 57.7
ELO Rating: 496.7
Glicko2 Rating: 1560.6
Current Fatigue (minutes): 269.0
Surface Strength:
Hard: 2.4
Clay: 3.6
Grass: 4.2
Serve Rating: 52.7
Return Rating: 51.8

Sebastian Baez

Form Index: 51.3
ELO Rating: 1279.8
Glicko2 Rating: 1675.8
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 8.9
Clay: 9.0
Grass: 10.0
Serve Rating: 97.3
Return Rating: 93.9

Recent Matches

Jaime Faria

  • Last Match: vs Igor Marcondes (0-2) clay Rio 97 min
  • 2nd Last Match: vs Nicolas Jarry (2-1) clay Rio 172 min
  • 3rd Last Match: vs Andrey Rublev (1-3) hard Australian Open 174 min
  • 4th Last Match: vs Alexander Blockx (3-1) hard Australian Open 174 min
  • 5th Last Match: vs Benjamin Hassan (2-0) hard Australian Open 174 min

Sebastian Baez

  • Last Match: vs Luciano Darderi (0-2) clay Buenos Aires 78 min
  • 2nd Last Match: vs Camilo Ugo Carabelli (2-0) clay Buenos Aires 119 min
  • 3rd Last Match: vs Ignacio Buse (2-0) clay Buenos Aires 83 min
  • 4th Last Match: vs Luciano Darderi (1-3) hard Australian Open 174 min
  • 5th Last Match: vs Giovanni Mpetshi Perricard (3-2) hard Australian Open 174 min

Head-to-Head (Last 2 Seasons)

0
Jaime Faria
vs
0
Sebastian Baez
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

This round-of-32 match in Rio, Brazil is a clay-court contest at a 500-level event. Sebastian Baez is the projected winner with a 60.92% probability, while Jaime Faria is given a 39.08% chance; the model expects about 23.36 total games in the match.

Match Analysis

Jaime Faria (rank 148) arrives with a higher proprietary form index (57.68) than Baez but a much lower Elo (496.67 vs 1,279.75). Faria carries 269 minutes of court time in this tournament, indicating accumulated fatigue, and his surface strength index on clay is modest (3.61). Sebastian Baez (rank 34) shows a lower form index (51.25) but far superior match-level metrics: a substantially higher Elo and a higher surface strength index (8.97). The difference in mean serve index is large (Baez 97.29 vs Faria 52.66), and the mean return index gap is also pronounced (Baez 93.91 vs Faria 51.82), both differences likely to be decisive on serve and return exchanges. Looking at recent results, Faria has one notable win over Nicolas Jarry in a long three-set encounter but was beaten by Igor Marcondes in his most recent Rio match; his last three matches include long durations on clay and hard courts, which helps explain his tournament fatigue. Baez’s recent sequence in Buenos Aires consisted of two straight-set wins followed by a loss in his last outing; his tournament fatigue reading is zero, suggesting freshness. Overall, Baez’s superior serving and returning metrics and lower fatigue profile give him the statistical edge.

Total Games Predictions

🎾
Expected Total Games in Match 23.4 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 10.95 (predicted aces), while the double faults prediction (expected double faults) is roughly 5.02. On clay, slower ball speed and higher bounce typically suppress ace totals and can increase double faults as rallies and physical demand rise. Given Baez’s vastly higher serve rating, he is likely to contribute a disproportionate share of the predicted aces despite the clay surface.
🎯
Expected Total Aces 10.9 Most likely: 10 aces
Expected Total Double Faults 5.0 Most likely: 5 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

Baez’s higher Elo, stronger serve/return indices and freshness are the primary reasons he is favored. The key factor to watch is whether Faria’s accumulated minutes and physical state allow him to sustain pressure in long rallies and convert break opportunities against Baez’s dominant service/return profile.

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