Eastbourne Great Britain Grass Atp 250 Round of 16

Giles Hussey vs Quentin Halys: AI Prediction | Games, Spread, Aces & Double Faults

Giles Hussey

Rank: #293
41%
VS

Quentin Halys

Rank: #94
59%
Expected Total Games: 25.3
Predicted Winner: Quentin Halys

Why the Model Favors Quentin Halys

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

Overall strength +8.9 Quentin Halys
Recent record by level +7.0 Quentin Halys
Surface fit +5.6 Giles Hussey
Serve & return game +4.8 Giles Hussey
Overall record & opposition quality +4.0 Giles Hussey

Starting from an even matchup, these factors move the model to 59% for Quentin Halys. Computed with gradient-based attribution on our neural network — not editorial opinion. How to read this →

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Player Metrics

Giles Hussey

Form Index: 44.3
ELO Rating: 1574.8
Glicko2 Rating: 1817.0
Current Fatigue (minutes): 271.0
Surface Strength:
Hard: 11.2
Clay: 10.9
Grass: 10.1
Serve Rating: 98.6
Return Rating: 98.9

Quentin Halys

Form Index: 36.4
ELO Rating: 1631.6
Glicko2 Rating: 1660.9
Current Fatigue (minutes): 66.0
Surface Strength:
Hard: 26.9
Clay: 18.5
Grass: 3.3
Serve Rating: 96.5
Return Rating: 82.6

Recent Matches

Giles Hussey

  • Last Match: vs Matteo Arnaldi (2-0) grass Eastbourne 87 min
  • 2nd Last Match: vs Marco Trungelliti (2-0) grass Eastbourne 105 min
  • 3rd Last Match: vs James Duckworth (2-0) grass Eastbourne 79 min
  • 4th Last Match: vs None (0-0) None None 0 min
  • 5th Last Match: vs None (0-0) None None 0 min

Quentin Halys

  • Last Match: vs Toby Samuel (0-2) grass Eastbourne 66 min
  • 2nd Last Match: vs Sho Shimabukuro (0-2) grass Stuttgart 56 min
  • 3rd Last Match: vs Alexander Zverev (1-3) clay Roland Garros 174 min
  • 4th Last Match: vs Ugo Humbert (3-0) clay Roland Garros 174 min
  • 5th Last Match: vs Mattia Bellucci (3-0) clay Roland Garros 174 min

Head-to-Head (Last 2 Seasons)

0
Giles Hussey
vs
0
Quentin Halys
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

This round-of-16 clash at Eastbourne (Great Britain) on grass projects Quentin Halys as the slight favorite in an ATP 250 setting. The model gives Halys a 58.99% chance to win versus Giles Hussey at 41.01%, with a predicted total of about 25.34 games in the match.

Match Analysis

The model’s edge for Halys is driven primarily by overall strength (+8.9 percentage points) and recent record by level (+7.0 points). That shows up in Halys’ higher ranking (No. 94 vs Hussey No. 293) and superior Elo (1631.6 vs 1574.8), and in the fact he has recently faced top-level opponents such as Alexander Zverev — exposure to higher-level competition is what the “recent record by level” factor captures. Halys also arrives with far less accumulated court time in this event (fatigue 66 minutes vs Hussey 271), which is a meaningful physical advantage on quick grass courts. Counterbalancing that, several model factors tilt towards Hussey: surface fit (+5.6), serve & return game (+4.8), and overall record & opposition quality (+4.0). Hussey’s surface strength index (10.06) is higher than Halys’ (3.34), and Hussey’s recent form at Eastbourne is spotless — three straight wins, all in straight sets. His mean serve (98.62) and especially mean return (98.86) are stronger than Halys’ numbers (serve 96.47, return 82.58); the mean return index gap (>5 points) suggests Hussey is better positioned to break or neutralize Halys’ service games despite Halys’ higher ranking. Halys’ form index is lower (36.37 vs Hussey 44.28), reflecting the mixed recent results.

Total Games Predictions

🎾
Expected Total Games in Match 25.3 Most likely outcome: 25 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

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

Games Spread Predictions

📈
Expected Games Spread (Giles Hussey - Quentin Halys) -1.5 Most likely spread: -2 (Quentin Halys wins 2 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

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

Probability of spread ≤ X

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

Aces and Double Faults Predictions

The aces prediction for this match is elevated: the model’s predicted aces total is 16.23, consistent with grass being the fastest surface and favoring big servers. The double faults prediction (expected double faults 6.51) is moderate; quick surfaces can encourage risk-taking on serve, which lifts both predicted aces and double faults. While both players have strong serve indices, Hussey’s slightly higher serving metric could push a few more aces his way, but the overall predicted aces remain split across both servers.
🎯
Expected Total Aces 16.2 Most likely: 16 aces
Expected Total Double Faults 6.5 Most likely: 6 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Giles Hussey versus Quentin Halys. 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 Giles Hussey versus Quentin Halys. 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 Giles Hussey versus Quentin Halys. 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 Giles Hussey versus Quentin Halys. 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

39.4% Predicted: No tiebreak

Exact Score Distribution BO3

Probability of each set-by-set outcome (Giles Hussey's perspective)

0-2 Most likely set score (42.2%)
Probability distribution of the final set score from Giles Hussey's perspective. Format: BO3.

Final Prediction

Halys’ edge comes chiefly from the model’s top driver — overall strength — reflected in ranking and Elo, plus the freshness advantage from much lower fatigue. Watch the return battle: Hussey’s superior return rating is the key factor that could swing the match if he converts it into breaks on grass.

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