Cincinnati OH, U.S.A. Hard Masters 1000 Round of 64

Andrey Rublev vs Pablo Carreno Busta: AI Prediction | Games, Spread, Aces & Double Faults

Andrey Rublev

Rank: #16
73%
VS

Pablo Carreno Busta

Rank: #68
27%
Expected Total Games: 26.8
Predicted Winner: Andrey Rublev

Why the Model Favors Andrey Rublev

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

Recent record by level +6.6 Andrey Rublev
Surface fit +4.5 Andrey Rublev
Age +4.3 Andrey Rublev
Overall strength +4.1 Andrey Rublev
Serve & return game +4.0 Andrey Rublev

Starting from an even matchup, these factors move the model to 73% for Andrey Rublev. Computed with gradient-based attribution on our neural network, not editorial opinion. How to read this →

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Player Metrics

Andrey Rublev

Form Index: 33.1
ELO Rating: 1736.6
Glicko2 Rating: 1820.9
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 28.0
Clay: 37.2
Grass: 22.9
Serve Rating: 97.0
Return Rating: 89.7

Pablo Carreno Busta

Form Index: 47.7
ELO Rating: 1684.0
Glicko2 Rating: 1676.1
Current Fatigue (minutes): 73.0
Surface Strength:
Hard: 21.0
Clay: 21.4
Grass: 9.8
Serve Rating: 95.3
Return Rating: 87.1

Recent Matches

Andrey Rublev

Pablo Carreno Busta

  • Last Match: vs Tomas Machac (2-0) hard Cincinnati 73 min
  • 2nd Last Match: vs Valentin Royer (1-2) hard Toronto 136 min
  • 3rd Last Match: vs Luca Van Assche (1-2) clay Estoril 131 min
  • 4th Last Match: vs Vilius Gaubas (2-0) clay Estoril 81 min
  • 5th Last Match: vs Camilo Ugo Carabelli (1-2) clay Umag 164 min

Head-to-Head (Last 2 Seasons)

0
Andrey Rublev
vs
0
Pablo Carreno Busta
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Cincinnati, Ohio, Round of 64 on hard courts at a Masters 1000 event sets a contrasting match-up between Andrey Rublev and Pablo Carreño Busta. The model favors Andrey Rublev to win with a 72.83 percent probability versus 27.17 percent for Carreño Busta. The match is expected to be relatively short, with a predicted total of about 26.75 games.

Match Analysis

The model’s edge for Rublev comes mainly from recent performance at relevant levels and his surface fit. Recent record by level contributed the largest boost toward Rublev. He carries a higher Elo (1736.6) and a top-20 ranking (16), which the model treats as important markers of consistent baseline performance. Rublev’s surface strength index on hard courts is 28.03. His mean serve index is 96.96 and his mean return index is 89.67. He enters this match with zero cumulative fatigue in the tournament. Carreño Busta supplies a stronger short term form index (47.72 versus Rublev’s 33.07), but his Elo is lower at 1684 and his ranking sits outside the top 60 (68). His surface strength index is 20.98. He has accumulated 73 minutes on court already in Cincinnati, a fatigue factor the model valued toward Rublev. Serve and return components slightly favor Rublev on paper, but the differences in mean serve and mean return indices are small and under five points, so they are not decisive here. Looking at recent matches, Rublev has one win and two losses across his last three outings, including a lengthy 164 minute match in Toronto. Carreño Busta is 1-2 in his last three as well, with a straight sets Cincinnati first round win over Tomas Machac and earlier longer losses in Toronto and Estoril. Those mixed recent results feed into the model’s emphasis on level and surface performance rather than raw recent form.

Total Games Predictions

🎾
Expected Total Games in Match 26.8 Most likely outcome: 26 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

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

Games Spread Predictions

📈
Expected Games Spread (Andrey Rublev - Pablo Carreno Busta) +1.4 Most likely spread: +1 (Andrey Rublev wins 1 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

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

Probability of spread ≤ X

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

Aces and Double Faults Predictions

The aces prediction for this hard court match is 12.45 total, with a predicted aces split likely favoring the slightly stronger server on paper. The double faults prediction is 4.74 expected double faults for the match. Hard courts tend to produce a moderate ace count due to their medium pace and consistent bounce. Since neither player has a significantly higher serve rating, the predicted aces are moderate rather than extreme.
🎯
Expected Total Aces 12.4 Most likely: 12 aces
Expected Total Double Faults 4.7 Most likely: 4 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Andrey Rublev versus Pablo Carreno Busta. 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 Andrey Rublev versus Pablo Carreno Busta. 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 Andrey Rublev versus Pablo Carreno Busta. 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 Andrey Rublev versus Pablo Carreno Busta. 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

39.9% Predicted: No tiebreak

Exact Score Distribution BO3

Probability of each set-by-set outcome (Andrey Rublev's perspective)

2-0 Most likely set score (42.3%)
Probability distribution of the final set score from Andrey Rublev's perspective. Format: BO3.

Final Prediction

Rublev’s projected edge rests primarily on recent record by level, supported by higher Elo and cleaner fatigue status. The factor to watch live is Carreño Busta’s energy level after his earlier match, which could narrow the gap if he remains sharp early in rallies.

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