Rotterdam Netherlands Hard Atp 500 Round of 32

Karen Khachanov vs Jesper de Jong: AI Prediction | Games, Aces & Double Faults

Karen Khachanov

Rank: #18
63%
VS

Jesper de Jong

Rank: #88
37%
Expected Total Games: 24.0
Predicted Winner: Karen Khachanov

Player Metrics

Karen Khachanov

Form Index: 45.5
ELO Rating: 2089.5
Glicko2 Rating: 1736.1
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 11.2
Clay: 17.3
Grass: 18.9
Serve Rating: 71.2
Return Rating: 58.2

Jesper de Jong

Form Index: 9.3
ELO Rating: 737.9
Glicko2 Rating: 1547.9
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 7.8
Clay: 8.5
Grass: 5.9
Serve Rating: 97.3
Return Rating: 90.0

Recent Matches

Karen Khachanov

  • Last Match: vs Luciano Darderi (1-3) hard Australian Open 174 min
  • 2nd Last Match: vs Nishesh Basavareddy (3-0) hard Australian Open 174 min
  • 3rd Last Match: vs Alex Michelsen (3-2) hard Australian Open 174 min
  • 4th Last Match: vs Michael Mmoh (0-2) hard Hong Kong 122 min
  • 5th Last Match: vs Alex de Minaur (0-2) hard Paris 68 min

Jesper de Jong

  • Last Match: vs Daniil Medvedev (0-3) hard Australian Open 174 min
  • 2nd Last Match: vs Thiago Agustin Tirante (1-2) hard Adelaide 124 min
  • 3rd Last Match: vs Gabriel Diallo (0-2) hard Hong Kong 105 min
  • 4th Last Match: vs Tomas Martin Etcheverry (0-2) hard Paris 88 min
  • 5th Last Match: vs Kamil Majchrzak (2-1) hard Paris 170 min

Head-to-Head (Last 2 Seasons)

0
Karen Khachanov
vs
0
Jesper de Jong
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

At the Rotterdam 500 in the Netherlands, round of 32 on indoor hard courts, Karen Khachanov is favored to progress. The model gives Khachanov a 63.20% chance to win versus 36.80% for Jesper de Jong, with a predicted total of about 23.97 games in the match.

Match Analysis

Khachanov enters this match as the higher-ranked player (No. 18) with a substantially higher Elo (2089.52) and a stronger form index (45.51) compared with de Jong (rank 88, Elo 737.92, form 9.33). Both show zero tournament fatigue. Their surface strength indices are low by the model’s scale (Khachanov 11.23, de Jong 7.83), suggesting neither is exceptionally specialized on hard courts this season. The mean serve indices differ markedly: de Jong (97.34) is well above Khachanov (71.15), a gap greater than 5 points; de Jong also posts a much higher mean return index (90.02) versus Khachanov (58.25), another sizeable gap that frames this matchup as an unusual clash between a big server/returner and a more all-around player. Recent form underlines the disparity: Khachanov won two consecutive hard-court matches (3-0, 3-2) before falling in four sets at the Australian Open (matches listed with durations of 174 minutes). De Jong has lost his last three recorded matches on hard courts—straight sets to Medvedev (174 minutes), a three-set loss to Tirante (124 minutes), and a two-set defeat to Diallo (105 minutes). Those results point to Khachanov carrying more positive momentum into Rotterdam despite his mixed recent form.

Total Games Predictions

🎾
Expected Total Games in Match 24.0 Most likely outcome: 24 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Cumulative Probability (CDF)

Probability of total games ≤ X

Aces and Double Faults Predictions

The aces prediction for the match is 13.22 total and the predicted aces distribution will be influenced by de Jong’s much higher serve rating; his profile suggests he will contribute a large share of the predicted aces. The expected double faults figure is 4.4 for the match. On a medium-paced hard court, these predicted aces and expected double faults reflect a balance—hard courts reward big servers but do not inflate ace counts as much as faster grass.
🎯
Expected Total Aces 13.2 Most likely: 13 aces
Expected Total Double Faults 4.4 Most likely: 4 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Cumulative Probability (CDF)

Probability of aces ≤ X

Double Faults Probability Distribution

Distribution

Probability of each double fault count outcome

Cumulative Probability (CDF)

Probability of double faults ≤ X

Final Prediction

Khachanov’s clear edge comes from superior ranking, Elo and recent match wins, which underpin the 63.20% probability. The key factor to watch is the serve/return interplay: de Jong’s extreme serve and return indices could disrupt rhythm if he executes, but Khachanov’s overall class and steadier form should decide the outcome.

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