Roland Garros France Clay Grand Slam Round of 32

Nuno Borges vs Andrey Rublev: AI Prediction | Games, Spread, Aces & Double Faults

Nuno Borges

Rank: #50
27%
VS

Andrey Rublev

Rank: #13
73%
Expected Total Games: 39.7
Predicted Winner: Andrey Rublev

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Player Metrics

Nuno Borges

Form Index: 54.7
ELO Rating: 1683.8
Glicko2 Rating: 1669.3
Current Fatigue (minutes): 348.0
Surface Strength:
Hard: 22.7
Clay: 25.4
Grass: 17.8
Serve Rating: 95.8
Return Rating: 91.2

Andrey Rublev

Form Index: 66.7
ELO Rating: 1847.9
Glicko2 Rating: 1855.4
Current Fatigue (minutes): 348.0
Surface Strength:
Hard: 31.2
Clay: 36.7
Grass: 30.5
Serve Rating: 95.2
Return Rating: 87.3

Recent Matches

Nuno Borges

  • Last Match: vs Miomir Kecmanovic (3-1) clay Roland Garros 174 min
  • 2nd Last Match: vs Tomas Martin Etcheverry (3-0) clay Roland Garros 174 min
  • 3rd Last Match: vs Rafael Jodar (0-2) clay Rome 116 min
  • 4th Last Match: vs Jesper de Jong (2-0) clay Rome 61 min
  • 5th Last Match: vs Mariano Navone (0-2) clay Madrid 86 min

Andrey Rublev

  • Last Match: vs Camilo Ugo Carabelli (3-1) clay Roland Garros 174 min
  • 2nd Last Match: vs Ignacio Buse (3-1) clay Roland Garros 174 min
  • 3rd Last Match: vs Jannik Sinner (0-2) clay Rome 91 min
  • 4th Last Match: vs Nikoloz Basilashvili (2-1) clay Rome 133 min
  • 5th Last Match: vs Alejandro Davidovich Fokina (2-0) clay Rome 74 min

Head-to-Head (Last 2 Seasons)

0
Nuno Borges
vs
3
Andrey Rublev
Hard
0 - 2
Clay
0 - 1
Grass
0 - 0

Key Prediction Insights

At Roland Garros in Paris, the round of 32 on clay presents a contrast in styles as Nuno Borges meets Andrey Rublev in a Grand Slam night match. The model backs Rublev to advance — 73.17% chance to win versus 26.83% for Borges — with an expected total of about 39.7 games in the contest.

Match Analysis

Rublev arrives as the higher-ranked player (No. 13) with a stronger Elo (1847.9) and a superior form index (66.65) compared with Borges (rank 50, Elo 1683.8, form 54.70). Both men show identical cumulative fatigue from the tournament (348 minutes), which suggests endurance and recovery on clay will matter late in rallies. Rublev’s surface strength index (36.66) is higher than Borges’s (25.43), signalling a clearer comfort edge on clay for the Russian. Serve and return profiles are broadly comparable: Borges posts a slightly higher mean serve index (95.77) and leads on return (91.19 versus Rublev’s 87.28), but none of those gaps exceed the 5-point threshold to be deemed decisive. Looking at recent results, each player has navigated two wins at Roland Garros this week: Borges beat Etcheverry and Kecmanovic in long matches, while Rublev dispatched Camilo Ugo Carabelli and Ignacio Buse. Both had earlier losses on clay in Rome (Borges to Rafael Jodar; Rublev to Jannik Sinner), showing vulnerability against top opponents but also familiarity with long, grinding clay court battles. Those 174-minute matches in the opening rounds indicate both are match-tough but also that stamina could influence the later games.

Total Games Predictions

🎾
Expected Total Games in Match 39.7 Most likely outcome: 39 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Nuno Borges 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 Nuno Borges 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 (Nuno Borges - Andrey Rublev) -2.6 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 Nuno Borges versus Andrey Rublev. Positive values indicate Nuno Borges 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 Nuno Borges versus Andrey Rublev. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction for this meeting is modest: a predicted aces total of about 16.66 for the match, with an expected double faults tally near 6.43. Clay’s slower, high-bounce conditions usually suppress ace totals and can increase unforced serving errors late in matches; that aligns with the expected aces and expected double faults here. Neither player holds a markedly superior serve rating, so the predicted aces figure reflects two strong but not overwhelmingly dominant servers on a slow surface.
🎯
Expected Total Aces 16.7 Most likely: 16 aces
Expected Total Double Faults 6.4 Most likely: 6 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Nuno Borges 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 Nuno Borges 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 Nuno Borges 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 Nuno Borges versus Andrey Rublev. 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

45.0% Predicted: No tiebreak

Exact Score Distribution BO5

Probability of each set-by-set outcome (Nuno Borges's perspective)

0-3 Most likely set score (35.8%)
Probability distribution of the final set score from Nuno Borges's perspective. Format: BO5.

Final Prediction

Rublev’s higher Elo, stronger recent form and better clay profile give him the clear edge in this matchup. The key factor to watch will be Borges’s return game — his above-average return index is his best chance to disrupt Rublev’s rhythm and turn service games into break opportunities.

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