Estoril Portugal Clay Atp 250 Quarterfinals

Tiago Torres vs Hugo Gaston: AI Prediction | Games, Spread, Aces & Double Faults

Tiago Torres

Rank: #427
42%
VS

Hugo Gaston

Rank: #109
58%
Expected Total Games: 23.5
Predicted Winner: Hugo Gaston

Why the Model Favors Hugo Gaston

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

Overall strength +6.8 Hugo Gaston
Surface fit +6.0 Tiago Torres
Recent record by level +3.4 Hugo Gaston
Overall record & opposition quality +2.7 Tiago Torres
Recent form +2.3 Hugo Gaston

Starting from an even matchup, these factors move the model to 58% for Hugo Gaston. Computed with gradient-based attribution on our neural network — not editorial opinion. How to read this →

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Player Metrics

Tiago Torres

Form Index: 39.7
ELO Rating: 1543.5
Glicko2 Rating: 1853.4
Current Fatigue (minutes): 163.0
Surface Strength:
Hard: 10.0
Clay: 13.5
Grass: 4.5
Serve Rating: 96.1
Return Rating: 97.1

Hugo Gaston

Form Index: 57.3
ELO Rating: 1608.9
Glicko2 Rating: 1567.0
Current Fatigue (minutes): 97.0
Surface Strength:
Hard: 15.7
Clay: 13.2
Grass: 13.2
Serve Rating: 93.7
Return Rating: 88.2

Recent Matches

Tiago Torres

  • Last Match: vs Alejandro Tabilo (2-0) clay Estoril 92 min
  • 2nd Last Match: vs Nikoloz Basilashvili (2-0) clay Estoril 71 min
  • 3rd Last Match: vs None (0-0) None None 0 min
  • 4th Last Match: vs None (0-0) None None 0 min
  • 5th Last Match: vs None (0-0) None None 0 min

Hugo Gaston

Head-to-Head (Last 2 Seasons)

0
Tiago Torres
vs
0
Hugo Gaston
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

At the Estoril quarterfinals in Portugal, on clay at an ATP 250 event, the model favors Hugo Gaston to advance. Gaston is given a 58.44% chance to win versus Tiago Torres at 41.56%, with a predicted total of about 23.5 games in the match.

Match Analysis

The model’s edge for Gaston comes primarily from overall strength (a +6.8pp swing), while Torres picks up a surface-fit advantage (+6.0pp). That aligns with the numbers: Gaston carries the higher Elo (1608.9) and a stronger form index (57.3) compared with Torres (Elo 1543.5, form 39.7). Gaston also enters the day noticeably fresher — 97 minutes on court this week versus Torres’s 163 — which can matter late on clay. Conversely, Torres posts a marginally better surface strength index (13.47 vs 13.20) and a superior mean return index (97.14 vs 88.18), a near-9 point gap that could trouble Gaston’s service games. Rank and recent results tell a similar story: Gaston is the higher-ranked player (109 to 427) and has won his two Estoril matches to reach this stage, while also having a loss earlier in Bastad. Torres has also won his two matches here, both in straight sets, but his heavier minutes indicate more accumulated fatigue. Serve profiles are close — mean serve indices differ by only ~2.4 points — so no massive serving gulf, but Torres’s return edge and Gaston’s superior overall metrics frame a clash between consistency and tactical return pressure.

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 Tiago Torres versus Hugo Gaston. 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 Tiago Torres versus Hugo Gaston. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Tiago Torres - Hugo Gaston) -1.1 Most likely spread: -2 (Hugo Gaston wins 2 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Tiago Torres versus Hugo Gaston. Positive values indicate Tiago Torres winning more games, negative values indicate Hugo Gaston winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Tiago Torres versus Hugo Gaston. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction for the match is low: the model’s predicted aces sit at 5.73 for the contest, and the expected double faults are 5.6. Clay’s slower bounce suppresses aces and lengthens rallies, and the surface context here supports a modest aces prediction and a higher expected double faults figure. Torres’s slightly higher serve index may nudge the predicted aces upward by a small margin, while his greater fatigue could contribute to the expected double faults.
🎯
Expected Total Aces 5.7 Most likely: 5 aces
Expected Total Double Faults 5.6 Most likely: 5 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Tiago Torres versus Hugo Gaston. 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 Tiago Torres versus Hugo Gaston. 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 Tiago Torres versus Hugo Gaston. 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 Tiago Torres versus Hugo Gaston. 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

28.0% Predicted: No tiebreak

Exact Score Distribution BO3

Probability of each set-by-set outcome (Tiago Torres's perspective)

0-2 Most likely set score (51.4%)
Probability distribution of the final set score from Tiago Torres's perspective. Format: BO3.

Final Prediction

Gaston’s advantage is driven mainly by overall strength and recent form despite Torres’s small surface-fit edge and much stronger return numbers. The key factor to watch is whether Torres’s returning pressure combined with Gaston’s fresher legs influences the break-point conversion dynamics; that will likely decide who reaches the semis.

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