S Hertogenbosch Netherlands Grass Atp 250 Round of 16

Nuno Borges vs Marin Cilic: AI Prediction | Games, Spread, Aces & Double Faults

Nuno Borges

Rank: #50
56%
VS

Marin Cilic

Rank: #47
44%
Expected Total Games: 27.8
Predicted Winner: Nuno Borges

Why the Model Favors Nuno Borges

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

Recent record by level +6.8 Marin Cilic
Age +4.8 Nuno Borges
Surface fit +4.1 Nuno Borges
Recent form +3.7 Nuno Borges
Serve & return game +1.4 Marin Cilic

Starting from an even matchup, these factors move the model to 56% for Nuno Borges. Computed with gradient-based attribution on our neural network — not editorial opinion. How to read this →

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Player Metrics

Nuno Borges

Form Index: 51.8
ELO Rating: 1675.9
Glicko2 Rating: 1677.1
Current Fatigue (minutes): 66.0
Surface Strength:
Hard: 22.7
Clay: 24.7
Grass: 18.8
Serve Rating: 95.8
Return Rating: 91.2

Marin Cilic

Form Index: 34.1
ELO Rating: 1631.1
Glicko2 Rating: 1718.6
Current Fatigue (minutes): 163.0
Surface Strength:
Hard: 28.3
Clay: 11.4
Grass: 21.1
Serve Rating: 95.1
Return Rating: 85.0

Recent Matches

Nuno Borges

  • Last Match: vs Terence Atmane (2-0) grass S Hertogenbosch 66 min
  • 2nd Last Match: vs Andrey Rublev (0-3) clay Roland Garros 174 min
  • 3rd Last Match: vs Miomir Kecmanovic (3-1) clay Roland Garros 174 min
  • 4th Last Match: vs Tomas Martin Etcheverry (3-0) clay Roland Garros 174 min
  • 5th Last Match: vs Rafael Jodar (0-2) clay Rome 116 min

Marin Cilic

  • Last Match: vs Denis Shapovalov (2-1) grass S Hertogenbosch 163 min
  • 2nd Last Match: vs Moise Kouame (0-3) clay Roland Garros 174 min
  • 3rd Last Match: vs Martin Landaluce (0-2) clay Rome 127 min
  • 4th Last Match: vs Marcos Giron (2-0) clay Rome 106 min
  • 5th Last Match: vs Zizou Bergs (2-1) clay Madrid 127 min

Head-to-Head (Last 2 Seasons)

1
Nuno Borges
vs
0
Marin Cilic
Hard
1 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

s-Hertogenbosch Round of 16, grass courts in the Netherlands (250-level) pits Nuno Borges against Marin Cilic in a contrast of styles and recent workloads. The model favours Nuno Borges 56.31% to Marin Cilic 43.69%, with an expected total of about 27.8 games in the match.

Match Analysis

The model’s edge for Borges comes mainly from age-related freshness (+4.8 points), a positive surface fit (+4.1) and recent form (+3.7), which together outweigh Cilic’s advantage on recent record by level (+6.8) and a small serve/return tilt to Cilic (+1.4). Supporting that view, Borges posts a higher form index (51.83 vs 34.06) and a slightly higher Elo (1675.94 vs 1631.09), and he has been much fresher through this event (66 minutes on court cumulative versus Cilic’s 163). Borges also won his opening match here in straight sets on grass, indicating comfort on the surface. On the head-to-head metrics, rankings are close (Borges #50, Cilic #47). Serve profiles are very similar — mean serve indices are nearly identical (95.79 vs 95.06), so no single player dominates purely on serve. However, Borges owns a meaningful edge on return (mean return 91.19 vs Cilic’s 85.02), a gap greater than five points that could be decisive on short grass rallies. Recent forms reflect that Borges has two wins and a loss in his last three (including a long clay defeat to Rublev), while Cilic arrives off a big, long win over Denis Shapovalov but also two earlier losses; Cilic’s tournament minutes suggest accumulated fatigue may matter.

Total Games Predictions

🎾
Expected Total Games in Match 27.8 Most likely outcome: 28 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Nuno Borges versus Marin Cilic. 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 Nuno Borges versus Marin Cilic. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Nuno Borges - Marin Cilic) +0.4 Most likely spread: 0 (even number of games won)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Nuno Borges versus Marin Cilic. Positive values indicate Nuno Borges winning more games, negative values indicate Marin Cilic winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Nuno Borges versus Marin Cilic. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction sits at 17.22 for the match and the expected double faults are 5.37. Grass typically inflates ace counts — the predicted aces reflect a fast surface where big serves benefit — and the predicted double faults are moderate. Serve ratings between the two men are similar, so neither is predicted to single-handedly drive the predicted aces count.
🎯
Expected Total Aces 17.2 Most likely: 17 aces
Expected Total Double Faults 5.4 Most likely: 5 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Nuno Borges versus Marin Cilic. 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 Nuno Borges versus Marin Cilic. 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 Nuno Borges versus Marin Cilic. 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 Nuno Borges versus Marin Cilic. 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

45.4% Predicted: No tiebreak

Exact Score Distribution BO3

Probability of each set-by-set outcome (Nuno Borges's perspective)

2-0 Most likely set score (29.7%)
Probability distribution of the final set score from Nuno Borges's perspective. Format: BO3.

Final Prediction

Borges’s edge is driven most by the model’s age/freshness signal (model +4.8) combined with recent form and a strong return profile on grass. Watch Borges’s return and Cilic’s energy levels early on: if Cilic’s serve can overcome fatigue, the match tightens; if Borges breaks early, he’s the likeliest winner.

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