Madrid Spain Clay Masters 1000 Round of 128

Jaime Faria vs Hubert Hurkacz: AI Prediction | Games, Spread, Aces & Double Faults

Jaime Faria

Rank: #136
50%
VS

Hubert Hurkacz

Rank: #63
50%
Expected Total Games: 24.0
Predicted Winner: Jaime Faria

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Player Metrics

Jaime Faria

Form Index: 88.6
ELO Rating: 1693.7
Glicko2 Rating: 1797.2
Current Fatigue (minutes): 242.0
Surface Strength:
Hard: 55.7
Clay: 40.2
Grass: 41.8
Serve Rating: 57.3
Return Rating: 66.3

Hubert Hurkacz

Form Index: 45.3
ELO Rating: 1557.4
Glicko2 Rating: 1547.8
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 51.7
Clay: 42.4
Grass: 41.1
Serve Rating: 98.3
Return Rating: 85.5

Recent Matches

Jaime Faria

Hubert Hurkacz

Head-to-Head (Last 2 Seasons)

0
Jaime Faria
vs
0
Hubert Hurkacz
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Madrid, Spain — Round of 128 on clay at a Masters 1000 event pits Jaime Faria against Hubert Hurkacz in an intriguing opening match. The model narrowly favors Jaime Faria (50.12%) over Hubert Hurkacz (49.88%), with a predicted total of about 23.96 games in the match.

Match Analysis

On paper the matchup is unusual: Faria is ranked 136 with a strong form index (88.62) and an Elo of 1693.66, while Hurkacz sits at rank 63 but posts a lower form index (45.29) and an Elo of 1557.43. Fatigue is a clear differentiator — Faria arrives having already logged 242 minutes in Madrid, whereas Hurkacz has no minutes in this event yet. Both players have modest clay profiles (surface strength indexes: Faria 40.22, Hurkacz 42.41) so neither has a pronounced clay-court edge according to the surface metric. Serve and return profiles diverge sharply: Hurkacz’s mean serve index is massively higher (98.25) than Faria’s (57.31), a gap well over 5 points that signals a big-serving advantage for Hurkacz. Hurkacz also shows a stronger mean return index (85.51) versus Faria’s 66.34, another meaningful difference. Recent form tells a mixed story — Faria has two wins in Madrid (including a 166-minute battle against Quentin Halys) and a loss to Etcheverry in Rio, demonstrating resilience in long matches. Hurkacz won two matches in Monte Carlo before a long three-set loss to Valentin Vacherot, suggesting competitive clay exposure but less consistency lately.

Total Games Predictions

🎾
Expected Total Games in Match 24.0 Most likely outcome: 23 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

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

Games Spread Predictions

📈
Expected Games Spread (Jaime Faria - Hubert Hurkacz) +1.1 Most likely spread: +1 (Jaime Faria wins 1 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

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

Probability of spread ≤ X

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

Aces and Double Faults Predictions

The aces prediction sits at roughly 18.34 for the match, while the expected double faults are about 4.89. On clay, predicted aces tend to be lower because the slower surface and high bounce reduce free points; the expected double faults reflect clay’s grind and potential late-match fatigue. Hurkacz’s significantly higher serve rating should boost the predicted aces total, while Faria’s recent minutes could increase the expected double faults as fatigue sets in.
🎯
Expected Total Aces 18.3 Most likely: 18 aces
Expected Total Double Faults 4.9 Most likely: 4 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Jaime Faria versus Hubert Hurkacz. 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 Hubert Hurkacz. 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 Hubert Hurkacz. 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 Hubert Hurkacz. The curve shows the cumulative probability for each double faults threshold.

Final Prediction

Faria’s edge in form and Elo, coupled with momentum in Madrid, is the marginal reason he’s favored despite Hurkacz’s superior serve. The key factor to watch is Hurkacz’s serving consistency — if his serve fires and he keeps double faults down, the match swings heavily his way.

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