Wimbledon Great Britain Grass Grand Slam Round of 128

Raphael Collignon vs Arthur Fils: AI Prediction | Games, Spread, Aces & Double Faults

Raphael Collignon

Rank: #43
41%
VS

Arthur Fils

Rank: #24
59%
Expected Total Games: 38.1
Predicted Winner: Arthur Fils

Why the Model Favors Arthur Fils

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

Overall strength +7.9 Arthur Fils
Surface fit +4.9 Raphael Collignon
Recent record by level +4.5 Arthur Fils
Serve & return game +3.9 Raphael Collignon
Recent form +1.8 Raphael Collignon

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

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Player Metrics

Raphael Collignon

Form Index: 48.8
ELO Rating: 1683.9
Glicko2 Rating: 1730.2
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 23.4
Clay: 17.3
Grass: 12.0
Serve Rating: 96.5
Return Rating: 92.4

Arthur Fils

Form Index: 37.7
ELO Rating: 1927.6
Glicko2 Rating: 1976.0
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 43.1
Clay: 40.9
Grass: 14.6
Serve Rating: 96.4
Return Rating: 87.3

Recent Matches

Raphael Collignon

Arthur Fils

Head-to-Head (Last 2 Seasons)

0
Raphael Collignon
vs
0
Arthur Fils
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

At Wimbledon in London, Round of 128 on grass, the model favours Arthur Fils over Raphael Collignon. The prediction gives Fils a 59.39% chance to win versus 40.61% for Collignon, with an expected total of about 38.1 games in the match.

Match Analysis

The model’s edge for Fils stems primarily from overall strength and recent results by level. Fils carries a substantially higher Elo (1928.10) and a superior ranking (24 vs 43), which together explain the largest single swing toward him. The model also credits Fils for stronger results at higher-level events recently, even though his immediate form index (37.38) is lower than Collignon’s (48.55). That said, Collignon earns meaningful credit from surface fit and the combined serve & return picture. Collignon posts very high mean serve (96.53) and mean return (92.35) indices, and his recent grass matches (a win over Mattia Bellucci and competitive outings in Halle and Eastbourne) underpin the model’s surface-fit lift toward him. Note the mean return index gap: Collignon’s return (92.35) is more than five points better than Fils’s (87.33), which could matter on grass despite Fils’s stronger baseline credentials. Fatigue is a non-factor for both players (0 minutes on court this event). Recent form narratives differ: Collignon is 1-2 in his last three, with a solid grass win and two tight losses; Fils is also 1-2, but his defeats came on clay against top opposition and he beat Lehecka in Madrid. These short-term patterns feed the model’s competing adjustments.

Total Games Predictions

🎾
Expected Total Games in Match 38.1 Most likely outcome: 38 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

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

Games Spread Predictions

📈
Expected Games Spread (Raphael Collignon - Arthur Fils) -2.2 Most likely spread: -3 (Arthur Fils wins 3 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Raphael Collignon versus Arthur Fils. Positive values indicate Raphael Collignon winning more games, negative values indicate Arthur Fils winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Raphael Collignon versus Arthur Fils. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction for this grass match is high: the model’s predicted aces total is 19.53, while the expected double faults are 10.92. Grass typically boosts ace counts and rewards flat, powerful serving; here both players have similarly high mean serve indices (difference under 1 point), so no single server dominates the aces projection. Given Collignon’s stronger return index, that may modestly temper Fils’s ace opportunities.
🎯
Expected Total Aces 19.5 Most likely: 19 aces
Expected Total Double Faults 10.9 Most likely: 10 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Raphael Collignon versus Arthur Fils. 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 Raphael Collignon versus Arthur Fils. 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 Raphael Collignon versus Arthur Fils. 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 Raphael Collignon versus Arthur Fils. 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

46.3% Predicted: No tiebreak

Exact Score Distribution BO5

Probability of each set-by-set outcome (Raphael Collignon's perspective)

0-3 Most likely set score (29.3%)
Probability distribution of the final set score from Raphael Collignon's perspective. Format: BO5.

Final Prediction

Fils’s edge comes mainly from his overall strength (Elo and ranking), which the model treats as the top deciding factor. The key thing to watch will be Collignon’s returning on grass — if his high return index translates into early breaks, he can make this a very tight, low-margin encounter.

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