Madrid Spain Clay Masters 1000 Round of 64

Cameron Norrie vs Tomas Machac: AI Prediction | Games, Spread, Aces & Double Faults

Cameron Norrie

Rank: #23
49%
VS

Tomas Machac

Rank: #41
51%
Expected Total Games: 23.4
Predicted Winner: Tomas Machac

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Player Metrics

Cameron Norrie

Form Index: 46.4
ELO Rating: 1702.9
Glicko2 Rating: 1743.8
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 59.6
Clay: 43.0
Grass: 46.5
Serve Rating: 74.7
Return Rating: 69.7

Tomas Machac

Form Index: 69.8
ELO Rating: 1762.5
Glicko2 Rating: 1826.1
Current Fatigue (minutes): 129.0
Surface Strength:
Hard: 58.6
Clay: 41.9
Grass: 42.4
Serve Rating: 96.5
Return Rating: 89.5

Recent Matches

Cameron Norrie

  • Last Match: vs Rafael Jodar (0-2) clay Barcelona 69 min
  • 2nd Last Match: vs Ethan Quinn (2-1) clay Barcelona 150 min
  • 3rd Last Match: vs Stan Wawrinka (2-1) clay Barcelona 153 min
  • 4th Last Match: vs Alex de Minaur (1-2) clay Monte Carlo 144 min
  • 5th Last Match: vs Miomir Kecmanovic (2-1) clay Monte Carlo 168 min

Tomas Machac

Head-to-Head (Last 2 Seasons)

0
Cameron Norrie
vs
0
Tomas Machac
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

In the Madrid Masters 1000, on clay in Spain, Round of 64, Tomas Machac is narrowly favoured to beat Cameron Norrie. The model gives Machac a 51.00% chance to win versus 49.00% for Norrie, with a predicted total of about 23.39 games in the match.

Match Analysis

Cameron Norrie arrives ranked 23 with a form index of 46.41, an Elo of 1702.93, zero minutes of fatigue in this event, and a surface strength index of 43.04. Tomas Machac, ranked 41, posts a stronger recent form index of 69.84, a higher Elo at 1762.55, but carries 129 minutes of fatigue from earlier matches; his surface strength index is 41.94. The serving and returning metrics show a clear gap: Machac’s mean serve index (96.54) comfortably exceeds Norrie’s (74.70) by more than 5 points, and his mean return index (89.52) also outpaces Norrie’s (69.68) by a large margin — both advantages that shape the matchup dynamics. Recent results underline those numbers. Norrie’s last three matches were two hard-fought wins in Barcelona over Stan Wawrinka and Ethan Quinn followed by a straight-sets loss to Rafael Jodar; his clay form includes long matches and mixed outcomes. Machac has been more variable: a win in Madrid over Francisco Comesana (129 minutes), a notable victory in Barcelona over Sebastian Baez, and a loss to Andrey Rublev; the Madrid win adds confidence but also to his cumulative fatigue. Expect a contest where Machac’s firepower on serve and return meets Norrie’s court coverage and consistent baseline game.

Total Games Predictions

🎾
Expected Total Games in Match 23.4 Most likely outcome: 23 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Cameron Norrie 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 Cameron Norrie 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 (Cameron Norrie - Tomas Machac) -2.3 Most likely spread: -3 (Tomas Machac wins 3 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Cameron Norrie versus Tomas Machac. Positive values indicate Cameron Norrie 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 Cameron Norrie versus Tomas Machac. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction for the match is modest — the model’s predicted aces total is 8.46 — while the double faults prediction sits at 4.59. On clay, slower pace and higher bounce typically reduce big-serve effectiveness, so predicted aces are tempered by surface. That said, Machac’s significantly higher serve rating makes him the likely source of most of the aces, and his heavy workload increases the expected double faults figure.
🎯
Expected Total Aces 8.5 Most likely: 8 aces
Expected Total Double Faults 4.6 Most likely: 4 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

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

Final Prediction

Machac’s edge comes from superior form, a higher Elo and decisive serve/return indices, despite carrying fatigue. The key factor to watch is whether Machac’s serving power holds up under clay-court rallies and accumulated minutes, and whether Norrie’s return game can neutralize that advantage.

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