Wimbledon Great Britain Grass Grand Slam Quarterfinals

Flavio Cobolli vs Arthur Fery: AI Prediction | Games, Spread, Aces & Double Faults

Flavio Cobolli

Rank: #10
67%
VS

Arthur Fery

Rank: #114
33%
Expected Total Games: 39.1
Predicted Winner: Flavio Cobolli

Why the Model Favors Flavio Cobolli

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

Overall strength +17.3 Flavio Cobolli
Fatigue & recent workload +5.2 Arthur Fery
Head-to-head +4.0 Arthur Fery
Surface fit +3.9 Flavio Cobolli
Serve & return game +3.6 Flavio Cobolli

Starting from an even matchup, these factors move the model to 67% for Flavio Cobolli. Computed with gradient-based attribution on our neural network — not editorial opinion. How to read this →

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Player Metrics

Flavio Cobolli

Form Index: 82.5
ELO Rating: 1968.6
Glicko2 Rating: 1873.2
Current Fatigue (minutes): 696.0
Surface Strength:
Hard: 24.6
Clay: 39.9
Grass: 38.9
Serve Rating: 95.6
Return Rating: 92.8

Arthur Fery

Form Index: 84.0
ELO Rating: 1778.9
Glicko2 Rating: 1751.7
Current Fatigue (minutes): 696.0
Surface Strength:
Hard: 22.1
Clay: 10.8
Grass: 27.0
Serve Rating: 93.8
Return Rating: 87.8

Recent Matches

Flavio Cobolli

  • Last Match: vs Alex de Minaur (3-0) grass Wimbledon 174 min
  • 2nd Last Match: vs Karen Khachanov (2-2) grass Wimbledon 174 min
  • 3rd Last Match: vs James Duckworth (3-1) grass Wimbledon 174 min
  • 4th Last Match: vs Mariano Navone (3-1) grass Wimbledon 174 min
  • 5th Last Match: vs Frances Tiafoe (0-2) grass Halle 84 min

Arthur Fery

Head-to-Head (Last 2 Seasons)

0
Flavio Cobolli
vs
1
Arthur Fery
Hard
0 - 1
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Wimbledon quarterfinals in London pits 10th-ranked Flavio Cobolli against British 114th-ranked Arthur Fery on grass in a Grand Slam spotlight. The model projects Cobolli to prevail — 67.0% probability to Fery’s 33.0% — with a predicted total of about 39.1 games in the match.

Match Analysis

The model’s edge for Cobolli comes mainly from overall strength and a better fit to grass, with the largest single driver being his overall strength (+17.3 percentage points) supplemented by surface fit (+3.9) and serve/return balance (+3.6). Cobolli sits higher in the rankings (10 vs 114) and carries a higher Elo (1968.6 vs 1778.9), alongside a strong form index (82.5) and an excellent mean serve index (95.6). His surface strength index (38.9) also outpaces Fery’s (27.0), which helps on the fast, low-bounce Wimbledon courts. The model does note two small offsets favoring Fery: fatigue & recent workload (+5.2 toward Fery) and head-to-head (+4.0 toward Fery). Curiously both players report identical cumulative fatigue minutes (696), yet the explainability output leans slightly toward Fery on that factor. On the service/return side Cobolli’s mean return index (92.78) is just over 5 points higher than Fery’s (87.75), a difference the model flags and which should help Cobolli in the crucial return games. Both players have comparable serving profiles (mean serve indices differ by under 5 points). Over their last three Wimbledon matches both have been in winning form: Cobolli knocked out Alex de Minaur, Karen Khachanov and James Duckworth; Fery has beaten Grigor Dimitrov, Zizou Bergs and Otto Virtanen.

Total Games Predictions

🎾
Expected Total Games in Match 39.1 Most likely outcome: 39 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Flavio Cobolli versus Arthur Fery. 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 Flavio Cobolli versus Arthur Fery. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Flavio Cobolli - Arthur Fery) +0.8 Most likely spread: 0 (even number of games won)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Flavio Cobolli versus Arthur Fery. Positive values indicate Flavio Cobolli winning more games, negative values indicate Arthur Fery winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Flavio Cobolli versus Arthur Fery. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction for the match is 16.76 total, with a predicted aces figure reflecting grass’s advantage for big servers. The expected double faults tally is 7.1. Since neither player has a significantly higher serve rating, neither is likely to dominate the ace count entirely, but the surface should still lift overall ace numbers.
🎯
Expected Total Aces 16.8 Most likely: 16 aces
Expected Total Double Faults 7.1 Most likely: 7 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Flavio Cobolli versus Arthur Fery. 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 Flavio Cobolli versus Arthur Fery. 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 Flavio Cobolli versus Arthur Fery. 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 Flavio Cobolli versus Arthur Fery. 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

46.5% Predicted: No tiebreak

Exact Score Distribution BO5

Probability of each set-by-set outcome (Flavio Cobolli's perspective)

0-3 Most likely set score (19.8%)
Probability distribution of the final set score from Flavio Cobolli's perspective. Format: BO5.

Final Prediction

Cobolli’s clear overall strength advantage is the primary reason he’s favored here. Watch the return battle — Cobolli’s superior return index is a key factor that could decide the match on grass.

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