Roland Garros France Clay Grand Slam Round of 128

Hugo Gaston vs Gael Monfils: AI Prediction | Games, Spread, Aces & Double Faults

Hugo Gaston

Rank: #120
31%
VS

Gael Monfils

Rank: #221
69%
Expected Total Games: 39.7
Predicted Winner: Gael Monfils

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Player Metrics

Hugo Gaston

Form Index: 25.2
ELO Rating: 1482.9
Glicko2 Rating: 1433.2
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 15.7
Clay: 6.3
Grass: 7.7
Serve Rating: 94.8
Return Rating: 93.8

Gael Monfils

Form Index: 32.1
ELO Rating: 1557.7
Glicko2 Rating: 1568.7
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 21.4
Clay: 18.5
Grass: 11.1
Serve Rating: 95.0
Return Rating: 86.0

Recent Matches

Hugo Gaston

  • Last Match: vs Karen Khachanov (1-2) clay Hamburg 158 min
  • 2nd Last Match: vs Ignacio Buse (0-2) clay Hamburg 71 min
  • 3rd Last Match: vs Marko Topo (2-0) clay Hamburg 67 min
  • 4th Last Match: vs Andrea Pellegrino (0-2) clay Rome 65 min
  • 5th Last Match: vs Elmer Moller (0-2) clay Madrid 72 min

Gael Monfils

Head-to-Head (Last 2 Seasons)

0
Hugo Gaston
vs
0
Gael Monfils
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Roland Garros in Paris, Round of 128 on clay at the 2026 grand slam sets up an all-French clash between Hugo Gaston and Gael Monfils. The model favors Monfils to win (69.47% probability) over Gaston (30.53%), with a projected total of about 39.73 games in the match.

Match Analysis

On paper the matchup is intriguing: Gaston is ranked 120 with an Elo of 1482.93 and a form index of 25.16; Monfils sits lower in the rankings at 221 but carries a higher Elo of 1557.72 and a stronger form index of 32.08. Both arrive fresh from earlier events with no cumulative tournament fatigue recorded. Surface strength favors Monfils (18.54 vs Gaston’s 6.28), suggesting he is somewhat better adapted to clay conditions in the available metrics. Their mean serve indexes are almost identical (Gaston 94.84, Monfils 95.03), so serve power is not a decisive differentiator, but Gaston holds a notably superior mean return index (93.78 vs 86.02), a gap that could make break opportunities more frequent. Recent results show both players with mixed form: Gaston has one win (Marko Topo) and two losses in Hamburg, including a long 158-minute three-setter versus Karen Khachanov. Monfils likewise has one victory (Tallon Griekspoor in Monte Carlo) and two straight-set defeats in Madrid and Monte Carlo to Camilo Ugo Carabelli and Alexander Bublik, though the Griekspoor win was a 135-minute effort. Those patterns point to players capable of strong stretches but also vulnerable to quicker defeats.

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

Games Spread Predictions

📈
Expected Games Spread (Hugo Gaston - Gael Monfils) -2.2 Most likely spread: -3 (Gael Monfils wins 3 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

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

Probability of spread ≤ X

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

Aces and Double Faults Predictions

The aces prediction centers on a modest count: the match is expected to produce about 14.29 aces while the predicted double faults are 8.69. On clay, slower ball speed and higher bounce tend to reduce ace totals and can increase unforced serving errors late in long rallies; this surface context supports the predicted aces and expected double faults. With near-identical serve indexes, neither player is projected to dramatically inflate the predicted aces.
🎯
Expected Total Aces 14.3 Most likely: 14 aces
Expected Total Double Faults 8.7 Most likely: 8 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Hugo Gaston versus Gael Monfils. 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 Gael Monfils. 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 Gael Monfils. 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 Gael Monfils. 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

39.6% Predicted: No tiebreak

Exact Score Distribution BO5

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

0-3 Most likely set score (42.4%)
Probability distribution of the final set score from Hugo Gaston's perspective. Format: BO5.

Final Prediction

Monfils’ higher Elo and form index, together with a stronger surface strength metric, give him the edge in this encounter. Watch Gaston’s return game: his superior return index is the key variable that could turn a tight match into an upset if he converts early break chances.

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