Miami FL, U.S.A. Hard Masters 1000 Round of 64

Corentin Moutet vs Tomas Machac: AI Prediction | Games, Spread, Aces & Double Faults

Corentin Moutet

Rank: #33
46%
VS

Tomas Machac

Rank: #48
54%
Expected Total Games: 23.7
Predicted Winner: Tomas Machac

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Player Metrics

Corentin Moutet

Form Index: 24.7
ELO Rating: 1330.5
Glicko2 Rating: 1576.9
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 10.0
Clay: 10.5
Grass: 11.8
Serve Rating: 65.0
Return Rating: 56.1

Tomas Machac

Form Index: 46.3
ELO Rating: 1413.4
Glicko2 Rating: 1696.7
Current Fatigue (minutes): 91.0
Surface Strength:
Hard: 11.6
Clay: 10.2
Grass: 10.4
Serve Rating: 96.4
Return Rating: 88.2

Recent Matches

Corentin Moutet

  • Last Match: vs Aleksandar Kovacevic (0-2) hard Indian Wells 100 min
  • 2nd Last Match: vs Alexander Zverev (0-2) hard Acapulco 91 min
  • 3rd Last Match: vs Tommy Paul (1-2) hard Delray Beach 150 min
  • 4th Last Match: vs Carlos Alcaraz (0-3) hard Australian Open 174 min
  • 5th Last Match: vs Michael Zheng (3-1) hard Australian Open 174 min

Tomas Machac

  • Last Match: vs Emilio Nava (2-1) hard Miami 91 min
  • 2nd Last Match: vs Jannik Sinner (0-2) hard Doha 70 min
  • 3rd Last Match: vs Arthur Gea (1-1) hard Montpellier 75 min
  • 4th Last Match: vs Lorenzo Musetti (2-3) hard Australian Open 174 min
  • 5th Last Match: vs Stefanos Tsitsipas (3-1) hard Australian Open 174 min

Head-to-Head (Last 2 Seasons)

0
Corentin Moutet
vs
0
Tomas Machac
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

At the Miami Masters in Florida, the round-of-64 clash on hard court pits Corentin Moutet against Tomas Machac. The model favors Machac to advance, projecting a 53.54% chance for Machac and a 46.46% chance for Moutet, with an expected total of about 23.7 games in the match.

Match Analysis

Moutet arrives as the higher-ranked player (No. 33) but carries a lower form index (24.70) and an Elo of 1330.47. He is fresh in this event with zero minutes of tournament fatigue and shows a moderate mean serve index (64.97) and return index (56.11). His surface strength index on hard is 9.96. By contrast, Machac (rank 48) posts a stronger form index (46.32) and a substantially higher Elo at 1413.42. He has logged 91 minutes on court in Miami (some fatigue) but registers very high mean serve (96.39) and return (88.25) indices and a surface strength index of 11.58. The differences in serve and return indices between the two players are large (both >30 points), which is likely to shape the patterns of service holds and breaks. Looking at recent results, Moutet has struggled in his last three hard-court outings, losing to Kovacevic at Indian Wells and falling to Alexander Zverev and Tommy Paul in earlier tournaments; those matches included long durations and straight-set defeats in two of them. Machac comes off a win in the Miami 128 against Emilio Nava (2–1) after earlier losses to Sinner and in Montpellier, giving him a modest recent lift in confidence despite the accumulated minutes.

Total Games Predictions

🎾
Expected Total Games in Match 23.7 Most likely outcome: 23 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Corentin Moutet versus Tomas Machac. 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 Corentin Moutet versus Tomas Machac. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Corentin Moutet - Tomas Machac) -0.5 Most likely spread: -1 (Tomas Machac wins 1 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Corentin Moutet versus Tomas Machac. Positive values indicate Corentin Moutet winning more games, negative values indicate Tomas Machac winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Corentin Moutet versus Tomas Machac. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction for the contest is modest: a predicted aces total of about 6.72. Expected double faults for the match sit near 4.11. Hard courts are medium-paced with consistent bounce, so they typically produce a balanced ace count; Machac’s substantially higher serve rating suggests he will drive the bulk of the predicted aces, while Moutet’s lower serve index points to fewer free points on his serve.
🎯
Expected Total Aces 6.7 Most likely: 6 aces
Expected Total Double Faults 4.1 Most likely: 4 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Corentin Moutet versus Tomas Machac. 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 Corentin Moutet versus Tomas Machac. 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 Corentin Moutet versus Tomas Machac. 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 Corentin Moutet versus Tomas Machac. The curve shows the cumulative probability for each double faults threshold.

Final Prediction

Machac’s higher Elo, stronger recent form index and dominant serve/return metrics give him the edge, even accounting for some tournament fatigue. The key factor to watch is how effectively Moutet can neutralize Machac’s serve — hold-to-hold dynamics on return games will likely decide the outcome.

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