Cincinnati OH, U.S.A. Hard Masters 1000 Round of 64

Brandon Nakashima vs Aleksandar Kovacevic: AI Prediction | Games, Spread, Aces & Double Faults

Brandon Nakashima

Rank: #31
74%
VS

Aleksandar Kovacevic

Rank: #95
26%
Expected Total Games: 26.8
Predicted Winner: Brandon Nakashima

Why the Model Favors Brandon Nakashima

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

Serve & return game +8.2 Brandon Nakashima
Recent record by level +4.9 Brandon Nakashima
Recent form +4.0 Brandon Nakashima
Overall strength +3.8 Brandon Nakashima
Surface fit +3.0 Brandon Nakashima

Starting from an even matchup, these factors move the model to 74% for Brandon Nakashima. Computed with gradient-based attribution on our neural network, not editorial opinion. How to read this →

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Player Metrics

Brandon Nakashima

Form Index: 60.2
ELO Rating: 1885.3
Glicko2 Rating: 1835.1
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 41.1
Clay: 19.4
Grass: 21.2
Serve Rating: 97.8
Return Rating: 88.4

Aleksandar Kovacevic

Form Index: 27.5
ELO Rating: 1523.0
Glicko2 Rating: 1586.0
Current Fatigue (minutes): 142.0
Surface Strength:
Hard: 16.3
Clay: 12.9
Grass: 1.0
Serve Rating: 96.4
Return Rating: 83.8

Recent Matches

Brandon Nakashima

Aleksandar Kovacevic

  • Last Match: vs Karen Khachanov (2-1) hard Cincinnati 142 min
  • 2nd Last Match: vs Nuno Borges (1-2) hard Toronto 147 min
  • 3rd Last Match: vs Cameron Norrie (0-2) hard Los Cabos 82 min
  • 4th Last Match: vs Botic van de Zandschulp (1-3) grass Wimbledon 174 min
  • 5th Last Match: vs Daniel Altmaier (0-2) grass Eastbourne 99 min

Head-to-Head (Last 2 Seasons)

1
Brandon Nakashima
vs
0
Aleksandar Kovacevic
Hard
1 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

At Cincinnati, Ohio, in the round of 64 on hard courts at a Masters 1000 event, Brandon Nakashima is favored to advance over Aleksandar Kovacevic. The model projects Nakashima to win with a 74.39% probability versus 25.61% for Kovacevic. The match is expected to be relatively short by best of three standards, with a predicted total of about 26.8 games.

Match Analysis

The model’s edge for Nakashima comes mainly from the serve and return game, supported by recent form and surface fit. Nakashima’s higher Elo (1885) and stronger form index (60.16) point to steadier results at this level compared with Kovacevic’s Elo of 1523 and form index of 27.50. Serve and return metrics favor Nakashima as well, with a mean serve index of 97.83 and a mean return index of 88.40, both strong on hard courts and central to the projected advantage. Surface fit is also a factor: Nakashima’s surface strength index is 41.10 versus Kovacevic’s 16.33, aligning with the model’s surface fit boost toward Nakashima. Fatigue and recent match load tell a different story for Kovacevic. He arrives with 142 minutes of court time already in Cincinnati, including a 142 minute win over Karen Khachanov, which may have a carryover. Nakashima shows zero minutes of fatigue from this tournament. Over the last three matches Nakashima is 3-0 on hard courts, including straight set wins in Toronto and a longer three setter versus Arthur Rinderknech. Kovacevic is 1-2 in his last three, with a notable win here in Cincinnati but losses to Nuno Borges and Cameron Norrie in recent events.

Total Games Predictions

🎾
Expected Total Games in Match 26.8 Most likely outcome: 26 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Brandon Nakashima versus Aleksandar Kovacevic. 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 Brandon Nakashima versus Aleksandar Kovacevic. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Brandon Nakashima - Aleksandar Kovacevic) +3.7 Most likely spread: +4 (Brandon Nakashima wins 4 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Brandon Nakashima versus Aleksandar Kovacevic. Positive values indicate Brandon Nakashima winning more games, negative values indicate Aleksandar Kovacevic winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Brandon Nakashima versus Aleksandar Kovacevic. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction for this hard court match is moderate, with predicted aces around 19.69 for the match. Hard courts typically produce a balanced ace count compared with grass or clay, so the predicted aces fit the surface profile. The double faults prediction is modest, with expected double faults near 5.1. Neither player has a clearly dominant serve rating advantage that would dramatically raise the predicted aces.
🎯
Expected Total Aces 19.7 Most likely: 19 aces
Expected Total Double Faults 5.1 Most likely: 5 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Brandon Nakashima versus Aleksandar Kovacevic. 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 Brandon Nakashima versus Aleksandar Kovacevic. 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 Brandon Nakashima versus Aleksandar Kovacevic. 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 Brandon Nakashima versus Aleksandar Kovacevic. 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

48.4% Predicted: No tiebreak

Exact Score Distribution BO3

Probability of each set-by-set outcome (Brandon Nakashima's perspective)

2-0 Most likely set score (49.9%)
Probability distribution of the final set score from Brandon Nakashima's perspective. Format: BO3.

Final Prediction

Nakashima’s edge is driven first and foremost by the serve and return game, backed by stronger Elo and form. Watch the early return games as the key factor. If Kovacevic can generate break chances against Nakashima’s returns, he may force more competitive sets.

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