Doha Qatar Hard Atp 500 Quarterfinals

Carlos Alcaraz vs Karen Khachanov: AI Prediction | Games, Spread, Aces & Double Faults

Carlos Alcaraz

Rank: #1
73%
VS

Karen Khachanov

Rank: #18
27%
Expected Total Games: 21.2
Predicted Winner: Carlos Alcaraz

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Player Metrics

Carlos Alcaraz

Form Index: 82.1
ELO Rating: 12050.0
Glicko2 Rating: 2208.2
Current Fatigue (minutes): 202.0
Surface Strength:
Hard: 100.0
Clay: 100.0
Grass: 100.0
Serve Rating: 51.6
Return Rating: 50.2

Karen Khachanov

Form Index: 65.1
ELO Rating: 2001.2
Glicko2 Rating: 1736.4
Current Fatigue (minutes): 236.0
Surface Strength:
Hard: 12.3
Clay: 18.9
Grass: 20.3
Serve Rating: 97.4
Return Rating: 90.4

Recent Matches

Carlos Alcaraz

  • Last Match: vs Valentin Royer (2-0) hard Doha 95 min
  • 2nd Last Match: vs Arthur Rinderknech (2-0) hard Doha 107 min
  • 3rd Last Match: vs Novak Djokovic (3-1) hard Australian Open 174 min
  • 4th Last Match: vs Alexander Zverev (3-2) hard Australian Open 174 min
  • 5th Last Match: vs Alex de Minaur (3-0) hard Australian Open 174 min

Karen Khachanov

  • Last Match: vs Marton Fucsovics (2-1) hard Doha 121 min
  • 2nd Last Match: vs Shintaro Mochizuki (2-1) hard Doha 115 min
  • 3rd Last Match: vs Jaume Munar (1-2) hard Rotterdam 152 min
  • 4th Last Match: vs Jesper de Jong (2-1) hard Rotterdam 143 min
  • 5th Last Match: vs Luciano Darderi (1-3) hard Australian Open 174 min

Head-to-Head (Last 2 Seasons)

1
Carlos Alcaraz
vs
0
Karen Khachanov
Hard
0 - 0
Clay
1 - 0
Grass
0 - 0

Key Prediction Insights

Quarterfinal action in Doha, Qatar at a hard-court 500-level event pits world No. 1 Carlos Alcaraz against No. 18 Karen Khachanov. The model projects Carlos Alcaraz to win (72.80% probability) versus Khachanov (27.20%), with an expected total of about 21.21 games in the match.

Match Analysis

Alcaraz arrives with top-end indicators: rank 1, a form index of 82.14, an Elo of 12,050 and excellent surface strength (100.0). He has logged 202 minutes at this event so far. Khachanov carries a lower form index (65.06), an Elo reported at ~2001.16, and slightly heavier cumulative fatigue (236 minutes). His surface strength index is markedly lower (12.31), which contrasts sharply with Alcaraz’s adaptation to hard courts. Serve and return profiles are notably different. Khachanov’s mean serve index (97.45) dwarfs Alcaraz’s (51.61) by over 45 points, a gap worth flagging for service-dominated moments. Khachanov also posts a much higher mean return index (90.41) compared with Alcaraz (50.16), another large gap that suggests different stylistic edges on both serve and return metrics. Over their recent three matches, Alcaraz is 3-0 (wins vs. Royer, Rinderknech, Djokovic) with long recent court time including a 174-minute match. Khachanov is 2-1 in his last three (wins over Fucsovics and Mochizuki, a prior loss to Munar) with slightly longer aggregate minutes this week.

Total Games Predictions

🎾
Expected Total Games in Match 21.2 Most likely outcome: 21 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Carlos Alcaraz 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 Carlos Alcaraz 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 (Carlos Alcaraz - Karen Khachanov) +1.8 Most likely spread: +2 (Carlos Alcaraz wins 2 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

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

Aces and Double Faults Predictions

The aces prediction for the match is elevated: the model’s predicted aces total is about 15.91. Given hard courts’ medium pace and consistent bounce, that number is consistent with a match featuring a big server. The double faults prediction is moderate — expected double faults around 5.94. Because Khachanov’s serve rating is significantly higher, he is likely to drive much of the predicted aces tally and influence the ace distribution in the match.
🎯
Expected Total Aces 15.9 Most likely: 15 aces
Expected Total Double Faults 5.9 Most likely: 5 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

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

Final Prediction

Alcaraz’s superior rank, form, surface strength and Elo underpin the edge in this projection. The key factor to watch is Khachanov’s serving potency versus Alcaraz’s ability to neutralize it; service dominance could shorten games and swing momentum.

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