Wimbledon Great Britain Grass Grand Slam Round of 128

Matteo Arnaldi vs Quentin Halys: AI Prediction | Games, Spread, Aces & Double Faults

Matteo Arnaldi

Rank: #35
52%
VS

Quentin Halys

Rank: #95
48%
Expected Total Games: 41.0
Predicted Winner: Matteo Arnaldi

Why the Model Favors Matteo Arnaldi

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

Serve & return game +6.1 Quentin Halys
Overall strength +5.1 Matteo Arnaldi
Recent record by level +4.8 Matteo Arnaldi
Age +2.6 Matteo Arnaldi
Surface fit +2.4 Matteo Arnaldi

Starting from an even matchup, these factors move the model to 52% for Matteo Arnaldi. Computed with gradient-based attribution on our neural network — not editorial opinion. How to read this →

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Player Metrics

Matteo Arnaldi

Form Index: 62.3
ELO Rating: 1785.2
Glicko2 Rating: 1702.6
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 11.6
Clay: 36.1
Grass: 7.8
Serve Rating: 95.6
Return Rating: 92.6

Quentin Halys

Form Index: 37.9
ELO Rating: 1631.3
Glicko2 Rating: 1668.2
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 26.9
Clay: 18.5
Grass: 4.2
Serve Rating: 96.5
Return Rating: 82.6

Recent Matches

Matteo Arnaldi

  • Last Match: vs Giles Hussey (0-2) grass Eastbourne 87 min
  • 2nd Last Match: vs Toby Samuel (2-1) grass Eastbourne 127 min
  • 3rd Last Match: vs Alastair Gray (2-0) grass Eastbourne 135 min
  • 4th Last Match: vs Matteo Berrettini (2-0) clay Roland Garros 174 min
  • 5th Last Match: vs Frances Tiafoe (3-2) clay Roland Garros 174 min

Quentin Halys

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

Head-to-Head (Last 2 Seasons)

0
Matteo Arnaldi
vs
1
Quentin Halys
Hard
0 - 0
Clay
0 - 1
Grass
0 - 0

Key Prediction Insights

Wimbledon, London — Round of 128 on grass at a Grand Slam stage. The model gives Matteo Arnaldi the narrow edge: 52.51% to win versus Quentin Halys at 47.49%, with a predicted total of about 40.97 games in the match. This promises a tight, serve-influenced contest likely to finish in three or four sets.

Match Analysis

The model’s edge is driven most strongly by contrasting factors: the serve & return dynamic favors Halys (+6.1 points), while Arnaldi’s superior overall strength (+5.1), recent results (+4.8), age (+2.6) and surface fit (+2.4) swing the balance back to him. Halys brings a marginally stronger mean serve index (96.47 vs 95.56), which — combined with grass being the fastest surface — underpins his serve & return advantage. Arnaldi, however, boasts a markedly better mean return index (92.60 vs 82.57), a gap of roughly 10 points that explains much of his ability to neutralize big servers and win more return games. Looking at the numbers: Arnaldi is the higher-ranked player (No. 35) with an Elo around 1784 and a healthy form index (~62.1); his surface strength index on grass (7.84) is also superior to Halys’s (4.24). Halys sits around rank 95 with an Elo near 1631 and a lower form index (~37.6). Both arrive without tournament fatigue. Over their last three grass matches at Eastbourne, Arnaldi won two and then lost his most recent match; Halys has one win bookended by two losses. Those recent patterns help explain the model leaning slightly toward Arnaldi despite Halys’s serving tools.

Total Games Predictions

🎾
Expected Total Games in Match 41.0 Most likely outcome: 40 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Matteo Arnaldi 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 Matteo Arnaldi 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 (Matteo Arnaldi - Quentin Halys) -0.1 Most likely spread: -1 (Quentin Halys wins 1 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Matteo Arnaldi versus Quentin Halys. Positive values indicate Matteo Arnaldi 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 Matteo Arnaldi versus Quentin Halys. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction is high: the match’s predicted aces total is 22.76, reflecting grass’s boost to serve effectiveness. Predicted aces favor a match with many quick holds. The double faults prediction sits at an expected double faults total of 10.14; on a fast surface, players may gamble more on first serves, raising double-fault risk. While Halys’s serve rating is only slightly higher, Arnaldi’s superior return rating suggests many of those aces will be crucial.
🎯
Expected Total Aces 22.8 Most likely: 22 aces
Expected Total Double Faults 10.1 Most likely: 10 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Matteo Arnaldi 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 Matteo Arnaldi 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 Matteo Arnaldi 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 Matteo Arnaldi 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

54.0% Predicted: Tiebreak likely

Exact Score Distribution BO5

Probability of each set-by-set outcome (Matteo Arnaldi's perspective)

0-3 Most likely set score (18.8%)
Probability distribution of the final set score from Matteo Arnaldi's perspective. Format: BO5.

Final Prediction

Arnaldi’s edge comes mainly from overall strength and a large return advantage that offsets Halys’s serving threat. Watch the return game early — if Arnaldi breaks down Halys’s serve rhythm, he’ll likely convert this narrow projection into a straight-forward win.

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