Barcelona Spain Clay Atp 500 Quarterfinals

Tomas Machac vs Andrey Rublev: AI Prediction | Games, Spread, Aces & Double Faults

Tomas Machac

Rank: #47
37%
VS

Andrey Rublev

Rank: #15
63%
Expected Total Games: 23.5
Predicted Winner: Andrey Rublev

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Player Metrics

Tomas Machac

Form Index: 72.6
ELO Rating: 1773.7
Glicko2 Rating: 1843.3
Current Fatigue (minutes): 99.0
Surface Strength:
Hard: 58.6
Clay: 41.7
Grass: 42.4
Serve Rating: 61.4
Return Rating: 64.6

Andrey Rublev

Form Index: 47.7
ELO Rating: 1739.1
Glicko2 Rating: 1812.1
Current Fatigue (minutes): 214.0
Surface Strength:
Hard: 58.5
Clay: 44.5
Grass: 46.9
Serve Rating: 97.9
Return Rating: 90.5

Recent Matches

Tomas Machac

Andrey Rublev

Head-to-Head (Last 2 Seasons)

0
Tomas Machac
vs
0
Andrey Rublev
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

This quarterfinal in Barcelona pits Tomas Machac against Andrey Rublev on slow, high-bounce clay at an ATP 500-level event in Spain. The model favors Rublev to win (62.74%) over Machac (37.26%), with a predicted total of about 23.5 games in the match — suggesting a straight-sets outcome is the likeliest scenario.

Match Analysis

On paper the contrast is clear: Rublev arrives as the higher-ranked player (15 vs 47) with a stronger surface strength index (44.54 to 41.68), but Machac shows better recent form (form index 72.57 to Rublev’s 47.67) and a marginally higher Elo (1773.68 vs 1739.11). Fatigue will be a storyline — Rublev has logged 214 minutes in this event compared with Machac’s 99, which can blunt movement and decision-making deep into rallies on clay. Service and return profiles diverge sharply. Rublev’s mean serve index (97.91) dramatically outpaces Machac’s (61.41) — a gap well over 5 points — and his mean return index (90.53) also tops Machac’s (64.56) by a wide margin. Those differences underline Rublev’s power and aggression on both serve and return, though clay reduces the raw payoff of big serves. Over their last three matches each player is 2-1 at tour-level events here and in Monte Carlo: Machac beat Baez and Cerundolo but lost to Sinner, while Rublev defeated Sonego and Navone and dropped a match to Bergs. Both have shown resilience in multi-set matches and played lengthy contests in recent weeks.

Total Games Predictions

🎾
Expected Total Games in Match 23.5 Most likely outcome: 23 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

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

Games Spread Predictions

📈
Expected Games Spread (Tomas Machac - Andrey Rublev) -2.3 Most likely spread: -3 (Andrey Rublev wins 3 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

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

Probability of spread ≤ X

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

Aces and Double Faults Predictions

The aces prediction sits at 8.47 for the match and predicted aces will likely be concentrated from Rublev given his very high serve index. Clay’s slower pace will suppress some free points, however, so that total is moderate. The expected double faults tally is 4.59; with Rublev’s heavier minutes, an elevated double faults prediction for him is plausible as fatigue accumulates.
🎯
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 Tomas Machac versus Andrey Rublev. 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 Andrey Rublev. 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 Andrey Rublev. 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 Andrey Rublev. The curve shows the cumulative probability for each double faults threshold.

Final Prediction

Rublev’s superior serve and return metrics give him the edge despite heavier court time; those tools are decisive even on clay. The key factor to watch is whether Rublev’s fatigue compromises his serve reliability — if it does, Machac’s better recent form and return game could tilt a closer scoreline.

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