Cincinnati OH, U.S.A. Hard Masters 1000 Round of 16

Jaime Faria vs Lorenzo Musetti: AI Prediction | Games, Spread, Aces & Double Faults

Jaime Faria

Rank: #79
28%
VS

Lorenzo Musetti

Rank: #15
72%
Expected Total Games: 25.9
Predicted Winner: Lorenzo Musetti

Why the Model Favors Lorenzo Musetti

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

Recent record by level +10.3 Lorenzo Musetti
Overall strength +5.7 Lorenzo Musetti
Recent form +3.8 Lorenzo Musetti
Fatigue & recent workload +1.6 Lorenzo Musetti
Serve & return game +1.5 Lorenzo Musetti

Starting from an even matchup, these factors move the model to 72% for Lorenzo Musetti. 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: 67.7
ELO Rating: 1798.1
Glicko2 Rating: 1804.9
Current Fatigue (minutes): 464.0
Surface Strength:
Hard: 32.0
Clay: 26.0
Grass: 20.3
Serve Rating: 95.4
Return Rating: 88.5

Lorenzo Musetti

Form Index: 50.4
ELO Rating: 1868.3
Glicko2 Rating: 1895.8
Current Fatigue (minutes): 159.0
Surface Strength:
Hard: 38.3
Clay: 42.7
Grass: 31.9
Serve Rating: 96.3
Return Rating: 89.0

Recent Matches

Jaime Faria

  • Last Match: vs Adam Walton (2-1) hard Cincinnati 131 min
  • 2nd Last Match: vs Ben Shelton (2-0) hard Cincinnati 113 min
  • 3rd Last Match: vs Jenson Brooksby (2-0) hard Cincinnati 74 min
  • 4th Last Match: vs Yibing Wu (2-0) hard Cincinnati 79 min
  • 5th Last Match: vs Nikoloz Basilashvili (2-0) hard Cincinnati 67 min

Lorenzo Musetti

Head-to-Head (Last 2 Seasons)

0
Jaime Faria
vs
0
Lorenzo Musetti
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Cincinnati, Ohio. Round of 16 at the hard court Masters 1000. The model projects Lorenzo Musetti to advance, with a 72.29% chance of winning versus Jaime Faria at 27.71%. The match is expected to be relatively short on games, with a predicted total of about 25.94 games.

Match Analysis

The model’s edge for Musetti comes mainly from his recent record by level, overall strength, and recent form. Recent record by level contributes +10.3 percentage points toward Musetti, reflecting his deeper results at higher level events compared with Faria. Musetti’s Elo sits at 1868.31 versus Faria’s 1798.14, and overall strength adds another +5.7 points in Musetti’s favor. While Faria is on a strong streak in Cincinnati with three consecutive wins here, those wins came against lower-ranked opposition earlier in the draw. Musetti has mixed recent form but has taken +3.8 points for momentum from wins in the last two matches at this event. Fatigue and workload slightly favor Musetti by +1.6 points. Faria has logged 464 minutes in the tournament so far, including a 131 minute last match and a 113 minute match two rounds earlier. Musetti has been fresher at 159 minutes on court, with shorter recent matches. Serve and return factors tilt +1.5 points toward Musetti, though the raw serve and return indices are close. Faria’s mean serve index is 95.44 and Musetti’s is 96.29, a difference under five points. Their mean return indices are also similar, 88.49 for Faria and 89.00 for Musetti. Over the last three matches, Faria has three straight wins at Cincinnati (Brooksby, Shelton, Walton). Musetti won in Cincinnati versus Altmaier and Zheng, and lost in Toronto to Jodar.

Total Games Predictions

🎾
Expected Total Games in Match 25.9 Most likely outcome: 26 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

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

Games Spread Predictions

📈
Expected Games Spread (Jaime Faria - Lorenzo Musetti) -3.3 Most likely spread: -4 (Lorenzo Musetti 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 Lorenzo Musetti. Positive values indicate Jaime Faria winning more games, negative values indicate Lorenzo Musetti winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

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

Aces and Double Faults Predictions

The aces prediction for this hard court match is moderate. The model’s predicted aces is about 11.49 for the match and the expected double faults is 7.5. Hard courts usually produce a balanced ace count compared with grass or clay. Neither player has a significantly higher serve rating, so the predicted aces reflect two efficient but not overpowering servers. The double faults prediction suggests both players may be a little loose on second serves in pressure moments.
🎯
Expected Total Aces 11.5 Most likely: 11 aces
Expected Total Double Faults 7.5 Most likely: 7 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Jaime Faria versus Lorenzo Musetti. 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 Lorenzo Musetti. 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 Lorenzo Musetti. 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 Lorenzo Musetti. 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

43.1% Predicted: No tiebreak

Exact Score Distribution BO3

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

0-2 Most likely set score (44.2%)
Probability distribution of the final set score from Jaime Faria's perspective. Format: BO3.

Final Prediction

Musetti’s advantage is driven primarily by the model key factor of recent record by level, supported by a higher Elo and fresher legs. The minutes on court and physical freshness are the key items to watch, as fatigue could narrow the gap if Musetti struggles physically later in the match.

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