Toronto Canada Hard Masters 1000 Round of 16

Nuno Borges vs Luciano Darderi: AI Prediction | Games, Spread, Aces & Double Faults

Nuno Borges

Rank: #49
51%
VS

Luciano Darderi

Rank: #23
49%
Expected Total Games: 28.4
Predicted Winner: Nuno Borges

Why the Model Favors Nuno Borges

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

Serve & return game +6.3 Nuno Borges
Surface fit +2.5 Nuno Borges
Age +2.0 Luciano Darderi
Overall strength +1.7 Luciano Darderi
Overall record & opposition quality +1.3 Luciano Darderi

Starting from an even matchup, these factors move the model to 51% 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: 62.8
ELO Rating: 1759.6
Glicko2 Rating: 1729.4
Current Fatigue (minutes): 322.0
Surface Strength:
Hard: 29.2
Clay: 24.0
Grass: 22.0
Serve Rating: 96.7
Return Rating: 88.2

Luciano Darderi

Form Index: 54.8
ELO Rating: 1764.5
Glicko2 Rating: 1803.0
Current Fatigue (minutes): 181.0
Surface Strength:
Hard: 23.2
Clay: 32.5
Grass: 15.5
Serve Rating: 95.5
Return Rating: 87.4

Recent Matches

Nuno Borges

Luciano Darderi

Head-to-Head (Last 2 Seasons)

2
Nuno Borges
vs
1
Luciano Darderi
Hard
1 - 0
Clay
0 - 1
Grass
1 - 0

Key Prediction Insights

At the Toronto Masters 1000, Round of 16 on hard courts, Nuno Borges is narrowly favoured to beat Luciano Darderi. The model gives Borges a 50.52% chance to win against Darderi’s 49.48%, with a predicted total of about 28.35 games in the match.

Match Analysis

The model’s edge for Borges comes primarily from the serve-and-return matchup and slightly better surface fit. Borges posts very strong proprietary serve and return indices (mean serve 96.71, mean return 88.22) which underpin the +6.3 percentage-point swing toward him for Serve & return game. His surface strength index (29.23) is higher than Darderi’s (23.19), which is the driver behind the +2.5 percentage-point Surface fit advantage. Against him, Darderi carries a marginally higher Elo (1764.52 vs 1759.64) and the higher tour ranking (23 versus 49), factors that together contribute small advantages toward Darderi under Overall strength and Overall record & opposition quality (+1.7 and +1.3 points respectively). Age also nudges the prediction slightly toward Darderi by 2.0 points. Looking at form and workload, Borges arrives with stronger recent form (form index 62.82) and has won his three Toronto matches (two straight-set victories and one 2–1), but he has accumulated more court time here (322 minutes) than Darderi (181 minutes), a clear fatigue differential to monitor. Darderi’s form index is lower (54.80) but he has been efficient in earlier rounds, with two wins at Toronto and one recent loss in Los Cabos.

Total Games Predictions

🎾
Expected Total Games in Match 28.4 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 Luciano Darderi. 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 Luciano Darderi. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Nuno Borges - Luciano Darderi) +0.0 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 Luciano Darderi. Positive values indicate Nuno Borges winning more games, negative values indicate Luciano Darderi winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

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

Aces and Double Faults Predictions

The aces prediction for this hard-court match is 14.05 total aces, while the predicted double faults total sits at 5.67. On a medium-paced hard surface, these predicted aces and expected double faults are in line with balanced serving conditions—hard courts reward both power and placement. Neither player has a significantly superior serve index (difference under 5 points), so no single server is expected to dominate the ace count.
🎯
Expected Total Aces 14.1 Most likely: 14 aces
Expected Total Double Faults 5.7 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 Luciano Darderi. 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 Luciano Darderi. 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 Luciano Darderi. The chart shows the predicted probability for each double-fault count.
Cumulative Probability (CDF)

Probability of double faults ≤ X

Cumulative distribution function chart for double faults in Nuno Borges versus Luciano Darderi. 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

51.4% Predicted: Tiebreak likely

Exact Score Distribution BO3

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

2-0 Most likely set score (29.8%)
Probability distribution of the final set score from Nuno Borges's perspective. Format: BO3.

Final Prediction

Borges’ advantage stems chiefly from the serve & return profile, reinforced by a slightly better fit to this hard court. Fatigue and Darderi’s marginally higher Elo/ranking are the main counters; watch how Borges’ court time affects his serve effectiveness as the decisive factor.

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