Tomas Martin Etcheverry vs Nuno Borges: AI Prediction | Games, Spread, Aces & Double Faults
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Set it upRanking Trends
Tomas Martin Etcheverry
- Current #25 2026-05-18
- 3 mo ago #33 2026-02-23
- 6 mo ago #60 2025-11-24
- 9 mo ago #59 2025-08-25
- 12 mo ago #53 2025-05-26
Nuno Borges
- Current #50 2026-05-18
- 3 mo ago #48 2026-02-23
- 6 mo ago #47 2025-11-24
- 9 mo ago #41 2025-08-25
- 12 mo ago #41 2025-05-26
Player Metrics
Tomas Martin Etcheverry
Nuno Borges
Recent Matches
Tomas Martin Etcheverry
- Last Match: vs Tommy Paul (1-2) clay Hamburg 213 min
- 2nd Last Match: vs Terence Atmane (2-0) clay Hamburg 100 min
- 3rd Last Match: vs Mattia Bellucci (1-2) clay Rome 154 min
- 4th Last Match: vs Arthur Fils (0-2) clay Madrid 90 min
- 5th Last Match: vs Dino Prizmic (2-1) clay Madrid 130 min
Nuno Borges
- Last Match: vs Rafael Jodar (0-2) clay Rome 116 min
- 2nd Last Match: vs Jesper de Jong (2-0) clay Rome 61 min
- 3rd Last Match: vs Mariano Navone (0-2) clay Madrid 86 min
- 4th Last Match: vs Hamad Medjedovic (0-2) clay Barcelona 94 min
- 5th Last Match: vs Tomas Martin Etcheverry (2-0) clay Barcelona 121 min
Head-to-Head (Last 2 Seasons)
Key Prediction Insights
Match Analysis
Total Games Predictions
Total Games Probability Distribution
Distribution
Probability of each total games outcome
Cumulative Probability (CDF)
Probability of total games ≤ X
Games Spread Predictions
Games Spread Probability Distribution
Distribution
Probability of each games spread outcome
Cumulative Probability (CDF)
Probability of spread ≤ X
Aces and Double Faults Predictions
Aces Probability Distribution
Distribution
Probability of each ace count outcome
Cumulative Probability (CDF)
Probability of aces ≤ X
Double Faults Probability Distribution
Distribution
Probability of each double fault count outcome
Cumulative Probability (CDF)
Probability of double faults ≤ X
Match Format Predictions
Tiebreak Likelihood
Probability that any tiebreak is played in this match
Exact Score Distribution BO5
Probability of each set-by-set outcome (Tomas Martin Etcheverry's perspective)
Full distributions as structured data (JSON or CSV)
Final Prediction
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