Dubai U.A.E. Hard Atp 500 Round of 32

Alexander Shevchenko vs Karen Khachanov: AI Prediction | Games, Spread, Aces & Double Faults

Alexander Shevchenko

Rank: #92
27%
VS

Karen Khachanov

Rank: #16
73%
Expected Total Games: 23.4
Predicted Winner: Karen Khachanov

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Player Metrics

Alexander Shevchenko

Form Index: 48.4
ELO Rating: 682.4
Glicko2 Rating: 1581.3
Current Fatigue (minutes): 178.0
Surface Strength:
Hard: 4.9
Clay: 5.3
Grass: 4.7
Serve Rating: 69.2
Return Rating: 49.9

Karen Khachanov

Form Index: 57.2
ELO Rating: 2001.4
Glicko2 Rating: 1736.3
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 12.3
Clay: 18.9
Grass: 20.3
Serve Rating: 97.5
Return Rating: 90.2

Recent Matches

Alexander Shevchenko

Karen Khachanov

  • Last Match: vs Carlos Alcaraz (1-2) hard Doha 146 min
  • 2nd Last Match: vs Marton Fucsovics (2-1) hard Doha 121 min
  • 3rd Last Match: vs Shintaro Mochizuki (2-1) hard Doha 115 min
  • 4th Last Match: vs Jaume Munar (1-2) hard Rotterdam 152 min
  • 5th Last Match: vs Jesper de Jong (2-1) hard Rotterdam 143 min

Head-to-Head (Last 2 Seasons)

0
Alexander Shevchenko
vs
0
Karen Khachanov
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

This round-of-32 match in Dubai, U.A.E., is played on hard courts at an ATP 500-level event and pairs Alexander Shevchenko against Karen Khachanov. The model favors Khachanov to win (72.83% probability) over Shevchenko (27.17%), with a predicted total of about 23.44 games in the match.

Match Analysis

Khachanov enters with a clear ranking and rating advantage (rank 16, Elo ~2001) over Shevchenko (rank 92, Elo ~682). Form indexes also favor Khachanov (57.17 vs 48.39). Fatigue is another differentiator: Shevchenko has accumulated 178 minutes on court in this event while Khachanov shows 0 minutes of tournament fatigue. Surface strength indexes are modest for both, but Khachanov’s is higher (12.30 vs 4.95). The difference in mean serve index is substantial (Khachanov 97.48 vs Shevchenko 69.23), and the mean return index gap is likewise large (Khachanov 90.18 vs Shevchenko 49.91), both exceeding the 5-point threshold and pointing to a pronounced serving and returning edge for Khachanov. Looking at recent results, Shevchenko is 1–2 in his last three matches: a straight-sets win over Nikoloz Basilashvili, and losses to Quentin Halys and Learner Tien, including a long 174-minute match at the Australian Open. Khachanov is coming off two wins in Doha (Fucsovics, Mochizuki) before a competitive three-set loss to Carlos Alcaraz, showing consistent form through three matches with lower time-on-court in this event.

Total Games Predictions

🎾
Expected Total Games in Match 23.4 Most likely outcome: 23 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Alexander Shevchenko 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 Alexander Shevchenko 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 (Alexander Shevchenko - Karen Khachanov) -0.5 Most likely spread: -1 (Karen Khachanov wins 1 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Alexander Shevchenko versus Karen Khachanov. Positive values indicate Alexander Shevchenko 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 Alexander Shevchenko versus Karen Khachanov. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction for this match is modest: the model’s predicted aces total is 6.72, and the double faults prediction (expected double faults) is 4.11. Hard courts usually produce a balanced number of aces — more than clay but fewer than grass — and Khachanov’s very high serve index suggests he will drive the bulk of the predicted aces. Given the serve disparity, the predicted aces and double faults figures reflect an advantage in free points from Khachanov’s service.
🎯
Expected Total Aces 6.7 Most likely: 6 aces
Expected Total Double Faults 4.1 Most likely: 4 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Alexander Shevchenko 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 Alexander Shevchenko 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 Alexander Shevchenko versus Karen Khachanov. 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 Alexander Shevchenko versus Karen Khachanov. The curve shows the cumulative probability for each double faults threshold.

Final Prediction

Khachanov’s superior serve and return metrics, higher Elo and fresher legs give him the edge in this matchup. The key factor to watch will be whether Khachanov can convert his serving strength into free points and keep pressure on Shevchenko’s service games.

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