Wimbledon Great Britain Grass Grand Slam Round of 64

Quentin Halys vs Marcos Giron: AI Prediction | Games, Spread, Aces & Double Faults

Quentin Halys

Rank: #95
47%
VS

Marcos Giron

Rank: #92
53%
Expected Total Games: 39.4
Predicted Winner: Marcos Giron

Why the Model Favors Marcos Giron

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

Recent form +7.0 Marcos Giron
Recent record by level +4.8 Quentin Halys
Serve & return game +4.7 Quentin Halys
Surface fit +2.9 Marcos Giron
Age +2.3 Quentin Halys

Starting from an even matchup, these factors move the model to 53% for Marcos Giron. Computed with gradient-based attribution on our neural network — not editorial opinion. How to read this →

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Player Metrics

Quentin Halys

Form Index: 50.2
ELO Rating: 1688.0
Glicko2 Rating: 1682.3
Current Fatigue (minutes): 174.0
Surface Strength:
Hard: 26.8
Clay: 18.5
Grass: 8.0
Serve Rating: 97.2
Return Rating: 88.7

Marcos Giron

Form Index: 40.0
ELO Rating: 1547.2
Glicko2 Rating: 1624.9
Current Fatigue (minutes): 174.0
Surface Strength:
Hard: 15.8
Clay: 8.6
Grass: 15.0
Serve Rating: 96.0
Return Rating: 87.2

Recent Matches

Quentin Halys

  • Last Match: vs Matteo Arnaldi (3-1) grass Wimbledon 174 min
  • 2nd Last Match: vs Ugo Humbert (0-2) grass Eastbourne 77 min
  • 3rd Last Match: vs Giles Hussey (2-0) grass Eastbourne 82 min
  • 4th Last Match: vs Toby Samuel (0-2) grass Eastbourne 66 min
  • 5th Last Match: vs Sho Shimabukuro (0-2) grass Stuttgart 56 min

Marcos Giron

  • Last Match: vs Corentin Moutet (3-1) grass Wimbledon 174 min
  • 2nd Last Match: vs Jack Draper (0-2) grass Eastbourne 85 min
  • 3rd Last Match: vs Jan Choinski (1-2) grass Eastbourne 166 min
  • 4th Last Match: vs Charles Broom (2-1) grass Eastbourne 119 min
  • 5th Last Match: vs Ignacio Buse (1-2) grass London 154 min

Head-to-Head (Last 2 Seasons)

0
Quentin Halys
vs
0
Marcos Giron
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Wimbledon, Round of 64 on grass at the Grand Slam stage sets up Quentin Halys vs Marcos Giron in a match where short, low bounces will reward free, flat serving. The model slightly favors Marcos Giron to win (53.38%) over Quentin Halys (46.62%), and it projects a total of about 39.4 games in the match.

Match Analysis

The model’s edge for Giron comes mainly from recent form and marginally better surface fit; recent form alone shifts the forecast 7.0 percentage points toward Giron, while surface fit adds another 2.9 points. Giron’s recent Wimbledon victory over Corentin Moutet (3-1) anchors that upward momentum, even though his prior two grass results at Eastbourne were losses. Halys earns model credit from recent record by level (4.8 points) and from a stronger serve & return profile (4.7 points). His straight-sets win over Matteo Arnaldi at Wimbledon and a prior win at Eastbourne show he can produce wins on grass, though his results are mixed. Looking at the raw numbers: Halys is ranked 95 with an Elo of 1688 and a form index of 50.24; Giron is ranked 92 with an Elo of 1547 and a form index of 40.02. Fatigue is identical for both (174 minutes on court in this event). Surface strength favors Giron (14.97 vs Halys 7.98), which helps explain the model tilt on grass. Halys posts a slightly higher mean serve index (97.17 vs 95.97) and a marginally better mean return index (88.67 vs 87.21), but neither gap exceeds five points. Over their last three matches, Halys has two wins and one loss, while Giron has one win and two losses, though both won their most recent Wimbledon matches.

Total Games Predictions

🎾
Expected Total Games in Match 39.4 Most likely outcome: 39 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Quentin Halys versus Marcos Giron. 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 Quentin Halys versus Marcos Giron. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Quentin Halys - Marcos Giron) -0.2 Most likely spread: -1 (Marcos Giron wins 1 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Quentin Halys versus Marcos Giron. Positive values indicate Quentin Halys winning more games, negative values indicate Marcos Giron winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Quentin Halys versus Marcos Giron. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction is high for this grass encounter: the model’s predicted aces total is 23.13 for the match, and the double faults prediction sits at an expected double faults figure of 8.05. Grass typically boosts serve dominance, so the expected aces reflect the surface’s fast, low bounce. Neither player has a significantly higher serve rating (difference under five), so both are likely to contribute to the predicted aces total.
🎯
Expected Total Aces 23.1 Most likely: 23 aces
Expected Total Double Faults 8.1 Most likely: 8 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Quentin Halys versus Marcos Giron. 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 Quentin Halys versus Marcos Giron. 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 Quentin Halys versus Marcos Giron. 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 Quentin Halys versus Marcos Giron. 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

59.2% Predicted: Tiebreak likely

Exact Score Distribution BO5

Probability of each set-by-set outcome (Quentin Halys's perspective)

0-3 Most likely set score (21.0%)
Probability distribution of the final set score from Quentin Halys's perspective. Format: BO5.

Final Prediction

Giron’s short-term form and better surface fit give him a narrow edge in this matchup, with recent form being the top model driver. Key factor to watch: how both players hold up on serve under pressure—break chances and clutch returns will decide whether the match stays tight or swings to a clear winner.

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