Halle Germany Grass Atp 500 Round of 16

Raphael Collignon vs Mattia Bellucci: AI Prediction | Games, Spread, Aces & Double Faults

Raphael Collignon

Rank: #51
51%
VS

Mattia Bellucci

Rank: #74
49%
Expected Total Games: 29.0
Predicted Winner: Raphael Collignon

Why the Model Favors Raphael Collignon

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

Surface fit +4.9 Raphael Collignon
Serve & return game +3.9 Mattia Bellucci
Recent record by level +2.0 Mattia Bellucci
Overall record & opposition quality +2.0 Raphael Collignon
Fatigue & recent workload +1.5 Raphael Collignon

Starting from an even matchup, these factors move the model to 51% for Raphael Collignon. 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: 62.8
ELO Rating: 1688.2
Glicko2 Rating: 1745.9
Current Fatigue (minutes): 196.0
Surface Strength:
Hard: 23.4
Clay: 17.3
Grass: 11.7
Serve Rating: 95.9
Return Rating: 93.1

Mattia Bellucci

Form Index: 56.3
ELO Rating: 1631.5
Glicko2 Rating: 1659.6
Current Fatigue (minutes): 323.0
Surface Strength:
Hard: 13.6
Clay: 10.4
Grass: 23.1
Serve Rating: 95.7
Return Rating: 86.4

Recent Matches

Raphael Collignon

  • Last Match: vs Alexei Popyrin (2-0) grass Halle 65 min
  • 2nd Last Match: vs Roberto Bautista Agut (2-0) grass Halle 71 min
  • 3rd Last Match: vs Aziz Dougaz (2-0) grass Halle 60 min
  • 4th Last Match: vs Matteo Arnaldi (2-3) clay Roland Garros 174 min
  • 5th Last Match: vs Ben Shelton (3-0) clay Roland Garros 174 min

Mattia Bellucci

  • Last Match: vs Alexander Bublik (2-0) grass Halle 74 min
  • 2nd Last Match: vs Alex Bolt (2-1) grass Halle 168 min
  • 3rd Last Match: vs Mikhail Kukushkin (2-0) grass Halle 81 min
  • 4th Last Match: vs Taylor Fritz (1-2) grass Stuttgart 146 min
  • 5th Last Match: vs Yannick Hanfmann (2-1) grass Stuttgart 149 min

Head-to-Head (Last 2 Seasons)

0
Raphael Collignon
vs
0
Mattia Bellucci
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

On grass in Halle, Germany, in the round of 16 at a 500-level event, Raphael Collignon is narrowly favoured to beat Mattia Bellucci. The prediction gives Collignon a 51.01% chance to win against Bellucci’s 48.99%, with a projected total of about 28.96 games in the match.

Match Analysis

The model’s edge for Collignon comes mainly from surface fit ( +4.9 points) and lower fatigue, while Bellucci earns a counterweight from the serve & return factor ( +3.9 points). Collignon arrives with a higher ranking (51 vs 74), superior form index (62.83 vs 56.29) and a higher Elo (1688.2 vs 1631.5). He has spent 196 minutes on court in Halle compared with Bellucci’s 323, which tilts the fatigue & workload needle (+1.5 points) toward Collignon. Notably, Collignon’s mean return index (93.11) is substantially higher than Bellucci’s (86.41) — a gap greater than five points that could be decisive on return games. Despite that, the model credits Bellucci on serve & return because of his recent match-level performances against big servers — wins over Alexander Bublik (74 minutes) and Alex Bolt (a marathon 168-minute match) suggest he can handle high-velocity grass conditions. Bellucci’s surface strength index (23.05) is higher than Collignon’s (11.74), but Collignon’s straight-set victories in Halle — including wins over Popyrin and Roberto Bautista Agut — underpin the surface-fit advantage in the projection. Both players show very similar mean serve indices (95.86 vs 95.66; difference <5), so service firepower looks evenly matched on paper. Over their last three matches here, each is 3-0 in the event, with Collignon posting quicker straight-set wins and Bellucci showing more time on court and one three-setter.

Total Games Predictions

🎾
Expected Total Games in Match 29.0 Most likely outcome: 29 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

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

Games Spread Predictions

📈
Expected Games Spread (Raphael Collignon - Mattia Bellucci) -0.1 Most likely spread: -1 (Mattia Bellucci wins 1 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

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

Probability of spread ≤ X

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

Aces and Double Faults Predictions

The aces prediction for the match is about 15.95 total, with an expected double faults total of 7.17. Grass generally inflates the predicted aces, so the predicted aces figure aligns with a fast surface that rewards flat, powerful serving. Neither player has a significantly higher serve rating, so the predicted aces are driven more by the surface than a single dominant server; Collignon’s strong return profile could slightly suppress opponent ace opportunities.
🎯
Expected Total Aces 15.9 Most likely: 15 aces
Expected Total Double Faults 7.2 Most likely: 7 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Raphael Collignon versus Mattia Bellucci. 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 Mattia Bellucci. 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 Mattia Bellucci. 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 Mattia Bellucci. 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

41.7% Predicted: No tiebreak

Exact Score Distribution BO3

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

2-0 Most likely set score (33.1%)
Probability distribution of the final set score from Raphael Collignon's perspective. Format: BO3.

Final Prediction

Collignon’s narrow edge is driven chiefly by surface fit and fresher legs, supported by higher rank and Elo. Watch the return game early — Collignon’s superior return index is the single most actionable factor that could decide whether this tight projection swings his way.

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