Hamburg Germany Clay Atp 500 Round of 32

Hugo Gaston vs Karen Khachanov: AI Prediction | Games, Spread, Aces & Double Faults

Hugo Gaston

Rank: #118
17%
VS

Karen Khachanov

Rank: #15
83%
Expected Total Games: 26.8
Predicted Winner: Karen Khachanov

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Player Metrics

Hugo Gaston

Form Index: 23.3
ELO Rating: 1491.4
Glicko2 Rating: 1445.1
Current Fatigue (minutes): 138.0
Surface Strength:
Hard: 15.7
Clay: 6.0
Grass: 7.7
Serve Rating: 94.8
Return Rating: 93.8

Karen Khachanov

Form Index: 42.1
ELO Rating: 1708.5
Glicko2 Rating: 1701.9
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 24.3
Clay: 27.3
Grass: 32.8
Serve Rating: 95.2
Return Rating: 86.2

Recent Matches

Hugo Gaston

  • Last Match: vs Ignacio Buse (0-2) clay Hamburg 71 min
  • 2nd Last Match: vs Marko Topo (2-0) clay Hamburg 67 min
  • 3rd Last Match: vs Andrea Pellegrino (0-2) clay Rome 65 min
  • 4th Last Match: vs Elmer Moller (0-2) clay Madrid 72 min
  • 5th Last Match: vs Luca Van Assche (0-2) clay Marrakech 146 min

Karen Khachanov

  • Last Match: vs Casper Ruud (1-2) clay Rome 100 min
  • 2nd Last Match: vs Dino Prizmic (2-0) clay Rome 117 min
  • 3rd Last Match: vs Botic van de Zandschulp (2-1) clay Rome 148 min
  • 4th Last Match: vs Aleksandr Shevchenko (2-0) clay Rome 103 min
  • 5th Last Match: vs Jakub Mensik (0-2) clay Madrid 107 min

Head-to-Head (Last 2 Seasons)

0
Hugo Gaston
vs
0
Karen Khachanov
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

At Hamburg on clay in the round of 32 of this 500-level event, Karen Khachanov is strongly favored to beat Hugo Gaston. The model gives Khachanov an 83.44% chance of victory versus a 16.56% chance for Gaston, with a predicted total of 26.83 games in the match.

Match Analysis

Khachanov arrives as the clear higher-ranked player (No. 15) with an Elo of 1708.46 and a form index of 42.13, while Gaston is ranked 118 with an Elo of 1491.41 and a lower form index of 23.33. Gaston’s cumulative fatigue at this event is 138 minutes on court versus Khachanov’s zero, which may matter across longer exchanges on clay. Surface strength favors Khachanov (surface index 27.34) over Gaston (6.05), indicating a sizeable comfort gap on clay. Serving metrics are similar—mean serve indices are virtually identical—so there’s no big serve advantage on paper. However, Gaston’s mean return index (93.81) is noticeably higher than Khachanov’s (86.23), a difference greater than five points that suggests Gaston can be a persistent break threat despite his lower rank. Recent form tells a coherent story: Gaston is 1–2 in his last three matches here and in Rome (wins over Marko Topo, losses to Ignacio Buse and Andrea Pellegrino), while Khachanov is 2–1 (wins over Dino Prizmic and Botic van de Zandschulp, a loss to Casper Ruud). Khachanov’s results include several long matches, indicating match toughness without current tournament fatigue.

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

Games Spread Predictions

📈
Expected Games Spread (Hugo Gaston - Karen Khachanov) -4.0 Most likely spread: -5 (Karen Khachanov wins 5 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

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

Probability of spread ≤ X

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

Aces and Double Faults Predictions

The aces prediction for this clay encounter is modest: the predicted aces total is 9.35, reflecting the slower surface. The double faults prediction is also measurable, with expected double faults at 4.19; longer rallies and physical wear on clay tend to push up double fault counts. Neither player has a vastly superior serve index, so the predicted aces count comes more from baseline power and serve placement than a singular big-server edge.
🎯
Expected Total Aces 9.3 Most likely: 9 aces
Expected Total Double Faults 4.2 Most likely: 4 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Hugo Gaston versus Karen Khachanov. 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 Hugo Gaston versus Karen Khachanov. 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 Hugo Gaston versus Karen Khachanov. 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 Hugo Gaston versus Karen Khachanov. 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

35.1% Predicted: No tiebreak

Exact Score Distribution BO3

Probability of each set-by-set outcome (Hugo Gaston's perspective)

0-2 Most likely set score (63.4%)
Probability distribution of the final set score from Hugo Gaston's perspective. Format: BO3.

Final Prediction

Khachanov’s higher ranking, stronger Elo and better clay surface index give him the decisive edge in this matchup. Watch how Gaston’s strong return metrics and Khachanov’s capacity to close out big points shape the early breaks — that duel will likely decide whether the match stays tight or swings toward Khachanov.

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