Wimbledon Great Britain Grass Grand Slam Round of 16

Grigor Dimitrov vs Arthur Fery: AI Prediction | Games, Spread, Aces & Double Faults

Grigor Dimitrov

Rank: #146
39%
VS

Arthur Fery

Rank: #114
61%
Expected Total Games: 37.7
Predicted Winner: Arthur Fery

Why the Model Favors Arthur Fery

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

Fatigue & recent workload +5.7 Arthur Fery
Overall strength +5.5 Grigor Dimitrov
Serve & return game +4.4 Grigor Dimitrov
Age +4.2 Arthur Fery
Recent form +3.4 Arthur Fery

Starting from an even matchup, these factors move the model to 61% for Arthur Fery. Computed with gradient-based attribution on our neural network — not editorial opinion. How to read this →

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Player Metrics

Grigor Dimitrov

Form Index: 45.7
ELO Rating: 1658.4
Glicko2 Rating: 1637.4
Current Fatigue (minutes): 696.0
Surface Strength:
Hard: 22.2
Clay: 12.3
Grass: 25.9
Serve Rating: 96.0
Return Rating: 92.0

Arthur Fery

Form Index: 84.0
ELO Rating: 1777.4
Glicko2 Rating: 1745.5
Current Fatigue (minutes): 696.0
Surface Strength:
Hard: 22.2
Clay: 10.8
Grass: 27.0
Serve Rating: 93.9
Return Rating: 87.9

Recent Matches

Grigor Dimitrov

Arthur Fery

Head-to-Head (Last 2 Seasons)

0
Grigor Dimitrov
vs
1
Arthur Fery
Hard
0 - 0
Clay
0 - 0
Grass
0 - 1

Key Prediction Insights

This Round of 16 meeting at Wimbledon in Great Britain pits veteran Grigor Dimitrov against rising Arthur Fery on grass at a grand slam. The model gives Dimitrov a narrow edge: 50.59% to win versus 49.41% for Fery, with a predicted total of about 37.8 games in the match.

Match Analysis

The model's edge for Dimitrov comes mainly from two areas: overall strength (+8.9 percentage points) and his serve & return game (+7.0 points). On paper Dimitrov shows strong match tools on grass: a mean serve index of 96.02 and mean return index of 92.00, and a surface strength index of 30.60. Fery is no pushover — he carries a higher Elo (1740.50 vs Dimitrov’s 1698.46) and better recent form (form index 76.20 against Dimitrov’s 52.47), which is why age and form favor the younger player in the model (age: +5.4 to Fery; overall record & opposition quality: +2.1 to Fery). Both players list 522 minutes of cumulative court time in this tournament, and fatigue & recent workload is a minor driver that the model pushes slightly toward Fery (+3.7 points). Rank-wise Fery is 114 to Dimitrov’s 146. Surface strength favors Dimitrov (30.6 vs 22.3). Serve and return numbers are both high for a grass match — Dimitrov’s serve and return edges are meaningful even if differences are not massive. Over the last three matches at Wimbledon both have won through: Dimitrov posted 3-0, 3-1 and a tight 3-2 win; Fery recorded two 3-1 wins and a 3-2, showing consistent form and the ability to close out matches.

Total Games Predictions

🎾
Expected Total Games in Match 37.7 Most likely outcome: 37 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Grigor Dimitrov 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 Grigor Dimitrov 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 (Grigor Dimitrov - Arthur Fery) -1.1 Most likely spread: -2 (Arthur Fery wins 2 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Grigor Dimitrov versus Arthur Fery. Positive values indicate Grigor Dimitrov 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 Grigor Dimitrov versus Arthur Fery. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction is high for a grass match: the model’s predicted aces total is 18.58, and the expected double faults are 8.71. Grass typically inflates the ace count because of lower, faster bounces; with both players’ serve indices in the mid-90s, the predicted aces reflect two aggressive servers. The small serve rating edge for Dimitrov may nudge the match’s predicted aces slightly in his favour, while the expected double faults remain modest.
🎯
Expected Total Aces 18.0 Most likely: 18 aces
Expected Total Double Faults 8.9 Most likely: 8 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Grigor Dimitrov 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 Grigor Dimitrov 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 Grigor Dimitrov 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 Grigor Dimitrov 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

43.4% Predicted: No tiebreak

Exact Score Distribution BO5

Probability of each set-by-set outcome (Grigor Dimitrov's perspective)

0-3 Most likely set score (30.4%)
Probability distribution of the final set score from Grigor Dimitrov's perspective. Format: BO5.

Final Prediction

Dimitrov’s narrow projected win comes primarily from the model’s overall strength factor, supported by a strong serve-and-return profile on grass. Key things to watch: which player holds the faster, more accurate serve under pressure — that will likely decide such a tight encounter.

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