Eastbourne Great Britain Grass Atp 250 Round of 32

Ugo Humbert vs Mattia Bellucci: AI Prediction | Games, Spread, Aces & Double Faults

Ugo Humbert

Rank: #30
60%
VS

Mattia Bellucci

Rank: #65
40%
Expected Total Games: 24.5
Predicted Winner: Ugo Humbert

Why the Model Favors Ugo Humbert

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

Overall strength +4.6 Ugo Humbert
Serve & return game +4.5 Ugo Humbert
Recent record by level +3.4 Ugo Humbert
Age +1.9 Mattia Bellucci
Overall record & opposition quality +1.4 Ugo Humbert

Starting from an even matchup, these factors move the model to 60% for Ugo Humbert. Computed with gradient-based attribution on our neural network — not editorial opinion. How to read this →

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Player Metrics

Ugo Humbert

Form Index: 46.8
ELO Rating: 1697.7
Glicko2 Rating: 1757.1
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 28.8
Clay: 15.4
Grass: 15.8
Serve Rating: 97.3
Return Rating: 92.1

Mattia Bellucci

Form Index: 45.7
ELO Rating: 1615.4
Glicko2 Rating: 1649.8
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 13.6
Clay: 10.3
Grass: 20.6
Serve Rating: 95.7
Return Rating: 84.6

Recent Matches

Ugo Humbert

Mattia Bellucci

Head-to-Head (Last 2 Seasons)

0
Ugo Humbert
vs
0
Mattia Bellucci
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

At Eastbourne in Great Britain, round of 32 on grass at an ATP 250 event, the model favors Ugo Humbert to progress. Humbert is projected to win with 59.64% probability versus 40.36% for Mattia Bellucci, and the match is expected to contain about 24.46 total games.

Match Analysis

The model's edge for Humbert comes mainly from overall strength and his serve/return combination. Humbert sits higher in the rankings (No. 30) with a stronger Elo (1697.7) and a form index of 46.78; Bellucci is No. 65 with an Elo of 1615.4 and a form index of 45.73. Neither player carries tournament fatigue. Surface strength indices are modest for both—Humbert 15.79, Bellucci 20.64—so neither is a pronounced grass specialist, though Bellucci’s surface index is slightly higher. Serve/return metrics favor Humbert: his mean return index (92.07) is notably better than Bellucci’s (84.64), a difference greater than five points that helps explain break opportunities on a quick surface. The mean serve indices are close (Humbert 97.32, Bellucci 95.72), so no large serving gulf is expected. Recent form shows both have been active on grass: Humbert won two of his last three matches in London before falling to Tommy Paul, while Bellucci reached late rounds in Halle but lost his most recent match there; both enter with competitive confidence. Age trends gave a small tilt to Bellucci in the model, but it is a minor effect compared with the other factors. Overall record and quality of opposition also nudge the prediction toward Humbert.

Total Games Predictions

🎾
Expected Total Games in Match 24.5 Most likely outcome: 24 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Ugo Humbert 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 Ugo Humbert 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 (Ugo Humbert - Mattia Bellucci) +0.9 Most likely spread: +1 (Ugo Humbert wins 1 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Ugo Humbert versus Mattia Bellucci. Positive values indicate Ugo Humbert 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 Ugo Humbert versus Mattia Bellucci. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

An aces prediction of 16.46 is in line with grass play—fast conditions typically increase ace counts—while the expected double faults total is 6.8. Predicted aces reflect both players’ high serve indices, and because neither has a markedly superior serve rating, aces should be distributed rather than dominated by one man. The expected double faults figure suggests a modest number of service errors across the match.
🎯
Expected Total Aces 16.5 Most likely: 16 aces
Expected Total Double Faults 6.8 Most likely: 6 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Ugo Humbert 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 Ugo Humbert 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 Ugo Humbert 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 Ugo Humbert 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

49.0% Predicted: No tiebreak

Exact Score Distribution BO3

Probability of each set-by-set outcome (Ugo Humbert's perspective)

2-0 Most likely set score (38.4%)
Probability distribution of the final set score from Ugo Humbert's perspective. Format: BO3.

Final Prediction

Humbert’s advantage is driven primarily by overall strength and superior serve/return numbers, particularly his higher return index on a fast grass court. Watch the return game early; if Humbert converts break chances, the match will likely swing in his favor.

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