Us Open NY, U.S.A. Hard Grand Slam Round of 64

Jaime Faria vs Carlos Alcaraz: AI Prediction | Games, Spread, Aces & Double Faults

Jaime Faria

Rank: #70
8%
VS

Carlos Alcaraz

Rank: #3
92%
Expected Total Games: 32.5
Predicted Winner: Carlos Alcaraz

Why the Model Favors Carlos Alcaraz

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

Overall strength +13.2 Carlos Alcaraz
Recent record by level +9.3 Carlos Alcaraz
Surface fit +8.1 Carlos Alcaraz
Serve & return game +6.0 Carlos Alcaraz
Recent form +2.1 Carlos Alcaraz

Starting from an even matchup, these factors move the model to 92% for Carlos Alcaraz. 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: 67.0
ELO Rating: 1793.8
Glicko2 Rating: 1806.0
Current Fatigue (minutes): 174.0
Surface Strength:
Hard: 32.2
Clay: 26.0
Grass: 20.3
Serve Rating: 95.3
Return Rating: 88.6

Carlos Alcaraz

Form Index: 50.1
ELO Rating: 2431.4
Glicko2 Rating: 2653.5
Current Fatigue (minutes): 174.0
Surface Strength:
Hard: 66.5
Clay: 95.5
Grass: 97.6
Serve Rating: 97.0
Return Rating: 91.7

Recent Matches

Jaime Faria

Carlos Alcaraz

Head-to-Head (Last 2 Seasons)

0
Jaime Faria
vs
0
Carlos Alcaraz
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

At the 2026 US Open in New York, round of 64 on hard courts, Carlos Alcaraz is the clear favorite against Jaime Faria. The model projects Alcaraz to win with 92.14 percent probability, versus 7.86 percent for Faria. The expected total number of games is 32.53.

Match Analysis

The model's edge for Alcaraz comes mainly from overall strength and recent record by level, with surface fit and serve and return contributing as well. That is reflected in the raw numbers. Alcaraz enters as world rank 3 with an Elo of 2431.4 and a surface strength index of 66.53. Faria is ranked 70 with an Elo of 1793.8 and a surface strength index of 32.20. Those gaps drive the largest portions of the prediction toward Alcaraz. Serve and return metrics favor Alcaraz modestly. Both players post high mean serve indexes, 96.95 for Alcaraz and 95.33 for Faria, and both have strong return indexes, 91.72 and 88.61 respectively. Fatigue is identical on paper, 174 minutes in the tournament for each player, so recent match length is not a differentiator here. Form indices show Faria at 67.01 and Alcaraz at 50.14, which captures Faria gaining confidence from recent wins. Looking at recent results, Alcaraz has won his last two matches including a straight sets win at this event, and he split results across clay and hard in his prior three. Faria also arrives with momentum from a long five set victory at the Open, plus a recent win and a loss in Cincinnati.

Total Games Predictions

🎾
Expected Total Games in Match 32.5 Most likely outcome: 31 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

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

Games Spread Predictions

📈
Expected Games Spread (Jaime Faria - Carlos Alcaraz) -7.3 Most likely spread: -8 (Carlos Alcaraz wins 8 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

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

Probability of spread ≤ X

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

Aces and Double Faults Predictions

The aces prediction for the match is 15.02 total, with predicted aces 7.39 for Jaime Faria and 7.7 for Carlos Alcaraz. The double faults prediction is 9.38 total, with expected double faults 5.33 for Faria and 4.06 for Alcaraz. Hard courts are medium paced with a consistent bounce, so these predicted aces and expected double faults fit the surface profile. Serve ratings are close, and the per player ace projections reflect that near parity.
🎯
Expected Total Aces 15.0 Most likely: 13 aces Per player: Jaime Faria 7.4 + Carlos Alcaraz 7.7
Expected Total Double Faults 9.4 Most likely: 8 double faults Per player: Jaime Faria 5.3 + Carlos Alcaraz 4.1

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Jaime Faria versus Carlos Alcaraz. 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 Carlos Alcaraz. The curve shows the cumulative probability for each aces threshold.

🎯 Aces by Player

Jaime Faria

Expected 7.4 aces

Probability distribution for the aces Jaime Faria serves in this match.
Carlos Alcaraz

Expected 7.7 aces

Probability distribution for the aces Carlos Alcaraz serves in this match.

Double Faults Probability Distribution

Distribution

Probability of each double fault count outcome

Probability distribution chart for double faults in Jaime Faria versus Carlos Alcaraz. The chart shows the predicted probability for each double-fault count.
Cumulative Probability (CDF)

Probability of double faults ≤ X

Cumulative distribution function chart for double faults in Jaime Faria versus Carlos Alcaraz. The curve shows the cumulative probability for each double faults threshold.

Double Faults by Player

Jaime Faria

Expected 5.3 double faults

Probability distribution for the double faults Jaime Faria serves in this match.
Carlos Alcaraz

Expected 4.1 double faults

Probability distribution for the double faults Carlos Alcaraz serves in this match.

🎯 Match Format Predictions

Tiebreak Likelihood

Probability that any tiebreak is played in this match

29.4% Predicted: No tiebreak

Exact Score Distribution BO5

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

0-3 Most likely set score (65.6%)
Probability distribution of the final set score from Jaime Faria's perspective. Format: BO5.

Final Prediction

Alcaraz’s advantage is driven chiefly by overall strength as captured in Elo and ranking, and by superior surface fit on hard courts. A key factor to watch is how Alcaraz’s return pressure and surface comfort translate early in service games.

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