Roland Garros France Clay Grand Slam Round of 64

Raphael Collignon vs Ben Shelton: AI Prediction | Games, Spread, Aces & Double Faults

Raphael Collignon

Rank: #64
29%
VS

Ben Shelton

Rank: #6
71%
Expected Total Games: 40.4
Predicted Winner: Ben Shelton

Also available in Claude. Query these predictions in plain language — our native connector lets Claude call our models on demand, no code.

Set it up

Player Metrics

Raphael Collignon

Form Index: 49.7
ELO Rating: 1638.3
Glicko2 Rating: 1705.1
Current Fatigue (minutes): 174.0
Surface Strength:
Hard: 23.3
Clay: 13.6
Grass: 7.1
Serve Rating: 95.8
Return Rating: 92.8

Ben Shelton

Form Index: 35.7
ELO Rating: 1829.6
Glicko2 Rating: 1892.1
Current Fatigue (minutes): 174.0
Surface Strength:
Hard: 43.6
Clay: 31.5
Grass: 38.9
Serve Rating: 95.8
Return Rating: 84.9

Recent Matches

Raphael Collignon

  • Last Match: vs Aleksandar Vukic (3-0) clay Roland Garros 174 min
  • 2nd Last Match: vs Casper Ruud (0-2) clay Geneva 87 min
  • 3rd Last Match: vs Adrian Mannarino (2-0) clay Geneva 89 min
  • 4th Last Match: vs Tommy Paul (1-2) hard Miami 140 min
  • 5th Last Match: vs Flavio Cobolli (2-0) hard Miami 94 min

Ben Shelton

  • Last Match: vs Daniel Merida (3-0) clay Roland Garros 174 min
  • 2nd Last Match: vs Daniel Altmaier (1-2) clay Hamburg 170 min
  • 3rd Last Match: vs Marcos Giron (2-1) clay Hamburg 138 min
  • 4th Last Match: vs Nikoloz Basilashvili (1-2) clay Rome 137 min
  • 5th Last Match: vs Dino Prizmic (1-2) clay Madrid 182 min

Head-to-Head (Last 2 Seasons)

0
Raphael Collignon
vs
0
Ben Shelton
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Roland Garros, Paris — Round of 64 on clay at the Grand Slam stage pitches 64th-ranked Raphael Collignon against No. 6 Ben Shelton. The model projects Shelton to win (70.99%) while Collignon sits at 29.01%, with an expected total of about 40.36 games in the match.

Match Analysis

Shelton arrives with a clear edge in raw ratings: a 1829.64 Elo and a top-10 ranking versus Collignon’s 1638.29 Elo and No. 64 placement. Collignon’s recent form index (49.66) is higher than Shelton’s (35.70), indicating sharper results in the short term, but overall pedigree and Elo favour Shelton. Both players carry identical tournament fatigue (174 minutes), so stamina coming into this contest should be comparable on paper. Surface strength indexes differ: Collignon’s clay score is modest at 13.56 while Shelton’s is better at 31.52, suggesting Shelton adapts to clay more effectively despite neither being a clay specialist. Return and serve profiles matter here. Mean serve indices are virtually identical (Collignon 95.79, Shelton 95.84), so there’s no significant serving advantage to note. Collignon, however, holds a noticeably stronger mean return index (92.84) than Shelton (84.94) — a gap greater than five points — which could transform a few key service games, especially on a slow clay court where returns have more time to develop. Over the last three matches Collignon has two wins (including a straight-sets Roland Garros opener) and a loss to a higher-ranked clay player; Shelton also opened with a straight-sets win, surrounding that with a hard-fought loss and a previous victory, showing some inconsistency but high ceiling.

Total Games Predictions

🎾
Expected Total Games in Match 40.4 Most likely outcome: 40 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

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

Games Spread Predictions

📈
Expected Games Spread (Raphael Collignon - Ben Shelton) -2.2 Most likely spread: -3 (Ben Shelton 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 Ben Shelton. Positive values indicate Raphael Collignon winning more games, negative values indicate Ben Shelton winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

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

Aces and Double Faults Predictions

The aces prediction for the match is 16.9 total and the predicted aces are tempered by the clay surface, which generally reduces serve winners. The expected double faults tally is 8.42; clay’s longer rallies and physical demand can inflate double faults as matches wear on. With nearly identical serve ratings, neither player should dominate the ace count solely on serving power.
🎯
Expected Total Aces 16.9 Most likely: 16 aces
Expected Total Double Faults 8.4 Most likely: 8 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Raphael Collignon versus Ben Shelton. 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 Ben Shelton. 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 Ben Shelton. 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 Ben Shelton. 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

46.7% Predicted: No tiebreak

Exact Score Distribution BO5

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

0-3 Most likely set score (35.5%)
Probability distribution of the final set score from Raphael Collignon's perspective. Format: BO5.

Final Prediction

Shelton’s superior ranking and Elo give him the probabilistic edge, while Collignon’s stronger return and better recent form make him a live underdog on clay. The key factor to watch will be whether Collignon can convert return opportunities early and break Shelton’s serve rhythm on the slower surface.

Get Daily Tennis Predictions

Enjoyed this analysis? Subscribe to our Telegram channel and receive daily AI-driven tennis predictions directly on your phone.

Join Our Telegram Channel