Cincinnati OH, U.S.A. Hard Masters 1000 Round of 128

Aleksandar Kovacevic vs Karen Khachanov: AI Prediction | Games, Spread, Aces & Double Faults

Aleksandar Kovacevic

Rank: #95
30%
VS

Karen Khachanov

Rank: #39
70%
Expected Total Games: 23.9
Predicted Winner: Karen Khachanov

Why the Model Favors Karen Khachanov

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

Recent record by level +5.5 Karen Khachanov
Serve & return game +4.4 Karen Khachanov
Overall strength +4.2 Karen Khachanov
Surface fit +1.8 Karen Khachanov
Recent form +1.2 Karen Khachanov

Starting from an even matchup, these factors move the model to 70% for Karen Khachanov. Computed with gradient-based attribution on our neural network, not editorial opinion. How to read this →

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Player Metrics

Aleksandar Kovacevic

Form Index: 22.8
ELO Rating: 1480.5
Glicko2 Rating: 1572.2
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 13.4
Clay: 12.9
Grass: 1.0
Serve Rating: 97.2
Return Rating: 85.7

Karen Khachanov

Form Index: 32.7
ELO Rating: 1651.6
Glicko2 Rating: 1665.2
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 20.5
Clay: 26.2
Grass: 30.1
Serve Rating: 96.3
Return Rating: 87.3

Recent Matches

Aleksandar Kovacevic

  • Last Match: vs Nuno Borges (1-2) hard Toronto 147 min
  • 2nd Last Match: vs Cameron Norrie (0-2) hard Los Cabos 82 min
  • 3rd Last Match: vs Botic van de Zandschulp (1-3) grass Wimbledon 174 min
  • 4th Last Match: vs Daniel Altmaier (0-2) grass Eastbourne 99 min
  • 5th Last Match: vs Francisco Cerundolo (1-2) grass London 119 min

Karen Khachanov

Head-to-Head (Last 2 Seasons)

0
Aleksandar Kovacevic
vs
0
Karen Khachanov
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Cincinnati, Ohio, round of 128 on outdoor hard courts at a Masters 1000 event sets Aleksandar Kovacevic against Karen Khachanov. The model favors Khachanov, 69.56% to Kovacevic 30.44%, with an expected total of about 23.85 games in the match.

Match Analysis

The model’s edge for Khachanov comes mainly from recent record by level, plus his superior serve and return profile and overall strength. Khachanov carries a higher Elo at 1651.64 versus Kovacevic’s 1480.45, and a superior rank, 39 compared with 95. His form index is also stronger, 32.68 to 22.83, and his surface strength index on hard courts is modestly better, 20.49 to 13.39. Both players show zero cumulative fatigue from this event, so freshness is not a factor. The serve indices are very similar, 97.17 for Kovacevic and 96.26 for Khachanov, so neither gains a clear serve advantage by that metric. Return indices are close as well, 87.28 for Khachanov and 85.67 for Kovacevic. Recent form has been shaky for both players, but the model weights the level of recent opponents in Khachanov’s favor. Kovacevic has three straight losses: a long hard court match in Toronto (lost in three), a straight sets loss to Cameron Norrie in Los Cabos, and a four set defeat at Wimbledon. Khachanov also comes in without recent wins in the listed three matches, including a five set loss at Wimbledon and straight set defeats in North American hard court events. The combination of Khachanov’s higher Elo and slightly better form index accounts for the bulk of the projected probability gap.

Total Games Predictions

🎾
Expected Total Games in Match 23.9 Most likely outcome: 23 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

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

Games Spread Predictions

📈
Expected Games Spread (Aleksandar Kovacevic - Karen Khachanov) -2.4 Most likely spread: -3 (Karen Khachanov wins 3 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

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

Probability of spread ≤ X

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

Aces and Double Faults Predictions

Aces prediction for the match sits at about 17.78 total. The predicted aces reflect a medium-fast hard court where big servers can still produce numbers, but not at grass levels. The double faults prediction is 6.62 expected double faults in the match. Because their mean serve indices are almost identical, neither player is expected to dominate the ace count solely by serve rating.
🎯
Expected Total Aces 17.8 Most likely: 17 aces
Expected Total Double Faults 6.6 Most likely: 6 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Aleksandar Kovacevic versus Karen Khachanov. 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 Aleksandar Kovacevic versus Karen Khachanov. 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 Aleksandar Kovacevic versus Karen Khachanov. 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 Aleksandar Kovacevic versus Karen Khachanov. 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

37.2% Predicted: No tiebreak

Exact Score Distribution BO3

Probability of each set-by-set outcome (Aleksandar Kovacevic's perspective)

0-2 Most likely set score (43.7%)
Probability distribution of the final set score from Aleksandar Kovacevic's perspective. Format: BO3.

Final Prediction

Khachanov’s edge stems primarily from the recent record by level and his higher Elo. The key factor to watch will be serve and return production early on, since small differences there are likely to decide tight service games.

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