Roland Garros France Clay Grand Slam Round of 64

Tomas Machac vs Alexander Zverev: AI Prediction | Games, Spread, Aces & Double Faults

Tomas Machac

Rank: #40
18%
VS

Alexander Zverev

Rank: #3
82%
Expected Total Games: 36.4
Predicted Winner: Alexander Zverev

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Player Metrics

Tomas Machac

Form Index: 61.5
ELO Rating: 1774.1
Glicko2 Rating: 1822.0
Current Fatigue (minutes): 174.0
Surface Strength:
Hard: 31.8
Clay: 24.6
Grass: 16.0
Serve Rating: 94.8
Return Rating: 91.4

Alexander Zverev

Form Index: 57.7
ELO Rating: 2053.8
Glicko2 Rating: 2052.2
Current Fatigue (minutes): 174.0
Surface Strength:
Hard: 54.5
Clay: 46.6
Grass: 38.7
Serve Rating: 95.2
Return Rating: 86.1

Recent Matches

Tomas Machac

  • Last Match: vs Zizou Bergs (3-0) clay Roland Garros 174 min
  • 2nd Last Match: vs Stefanos Tsitsipas (2-0) clay Rome 98 min
  • 3rd Last Match: vs Cameron Norrie (1-2) clay Madrid 174 min
  • 4th Last Match: vs Francisco Comesana (2-1) clay Madrid 129 min
  • 5th Last Match: vs Andrey Rublev (0-2) clay Barcelona 85 min

Alexander Zverev

  • Last Match: vs Benjamin Bonzi (3-0) clay Roland Garros 174 min
  • 2nd Last Match: vs Luciano Darderi (1-2) clay Rome 144 min
  • 3rd Last Match: vs Alexander Blockx (2-0) clay Rome 73 min
  • 4th Last Match: vs Daniel Altmaier (2-0) clay Rome 104 min
  • 5th Last Match: vs Jannik Sinner (0-2) clay Madrid 57 min

Head-to-Head (Last 2 Seasons)

0
Tomas Machac
vs
0
Alexander Zverev
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Roland Garros, Round of 64 on clay in Paris, sets up a clash between Tomas Machac and Alexander Zverev in the second week of the grand slam. The model predicts Alexander Zverev to win (81.55%) while Machac has an 18.45% chance, with a projected total of about 36.4 games in the match.

Match Analysis

Zverev arrives as the clear higher-ranked player (No. 3) with an Elo of 2053.8 versus Machac’s 1774.1 and a stronger surface strength index (46.57 to 24.62). Both players show similar serving metrics (mean serve index 95.18 for Zverev, 94.80 for Machac) so serve power alone is unlikely to separate them. Machac, however, holds a noticeably better mean return index (91.41) than Zverev (86.06), a difference greater than five points that suggests Machac will be more aggressive on Zverev’s second balls and in return games. Fatigue is identical on paper (174 minutes each in the tournament so far), which levels the recovery factor going into this round. Form indices are close—Machac 61.52 and Zverev 57.74—so recent momentum is not wildly skewed. Over the last three matches Machac has won two (including recent clay wins over Zizou Bergs and Stefanos Tsitsipas) and fell to Cameron Norrie in Madrid; Zverev also has two wins in his last three, defeating Benjamin Bonzi and Alexander Blockx while losing to Luciano Darderi in Rome. Both players have shown capacity to close out matches on clay, but Zverev’s higher ranking and Elo give him a measurable edge.

Total Games Predictions

🎾
Expected Total Games in Match 36.4 Most likely outcome: 36 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

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

Games Spread Predictions

📈
Expected Games Spread (Tomas Machac - Alexander Zverev) -3.3 Most likely spread: -4 (Alexander Zverev wins 4 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

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

Probability of spread ≤ X

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

Aces and Double Faults Predictions

The aces prediction for this match is 14.41 total (predicted aces), and the expected double faults total sits at 5.72 (expected double faults). Clay’s slower, high-bouncing nature typically reduces ace counts and can inflate unforced errors and double faults as rallies lengthen, which aligns with this aces prediction and double faults prediction. Neither player has a dramatically superior serve index, so the ace split may be even rather than dominated by one man.
🎯
Expected Total Aces 14.4 Most likely: 14 aces
Expected Total Double Faults 5.7 Most likely: 5 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Tomas Machac versus Alexander Zverev. 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 Tomas Machac versus Alexander Zverev. 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 Tomas Machac versus Alexander Zverev. 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 Tomas Machac versus Alexander Zverev. 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

48.8% Predicted: No tiebreak

Exact Score Distribution BO5

Probability of each set-by-set outcome (Tomas Machac's perspective)

0-3 Most likely set score (47.4%)
Probability distribution of the final set score from Tomas Machac's perspective. Format: BO5.

Final Prediction

Zverev is favored because his Elo, ranking and greater clay competence give him margin in tight service and baseline exchanges. The key factor to watch will be Machac’s return pressure—if he can convert that edge into early breaks, he can shorten the match; otherwise Zverev’s overall class should carry him through.

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