Us Open NY, U.S.A. Hard Grand Slam Semifinals

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

Alexander Zverev

Rank: #2
70%
VS

Karen Khachanov

Rank: #49
30%
Expected Total Games: 37.2
Predicted Winner: Alexander Zverev

Why the Model Favors Alexander Zverev

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

Recent record by level +6.5 Alexander Zverev
Overall strength +6.3 Alexander Zverev
Surface fit +5.2 Alexander Zverev
Overall record & opposition quality +3.6 Alexander Zverev
Serve & return game +2.5 Karen Khachanov

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

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Player Metrics

Alexander Zverev

Form Index: 74.1
ELO Rating: 2087.6
Glicko2 Rating: 2070.8
Current Fatigue (minutes): 870.0
Surface Strength:
Hard: 55.9
Clay: 57.1
Grass: 48.7
Serve Rating: 97.5
Return Rating: 89.9

Karen Khachanov

Form Index: 80.2
ELO Rating: 1871.9
Glicko2 Rating: 1724.9
Current Fatigue (minutes): 870.0
Surface Strength:
Hard: 37.3
Clay: 26.2
Grass: 30.1
Serve Rating: 96.0
Return Rating: 87.4

Recent Matches

Alexander Zverev

  • Last Match: vs Botic van de Zandschulp (3-0) hard Us Open 174 min
  • 2nd Last Match: vs Luciano Darderi (3-0) hard Us Open 174 min
  • 3rd Last Match: vs Alejandro Tabilo (3-0) hard Us Open 174 min
  • 4th Last Match: vs Quentin Halys (3-2) hard Us Open 174 min
  • 5th Last Match: vs Lorenzo Sonego (3-2) hard Us Open 174 min

Karen Khachanov

Head-to-Head (Last 2 Seasons)

1
Alexander Zverev
vs
1
Karen Khachanov
Hard
1 - 1
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

This is a US Open semifinal in New York on hard courts. The model favors Alexander Zverev to win with a 70.49% probability over Karen Khachanov at 29.51%. The match is expected to produce about 37.16 games in total.

Match Analysis

The model’s edge for Zverev is driven primarily by his recent record at this level (adding 6.5 percentage points), his overall strength (6.3 points) and his surface fit (5.2 points). Zverev arrives as the clear higher-ranked player at No. 2, with an Elo of 2087.63 and a form index of 74.12. His surface strength index on hard courts is 55.86, his mean serve index is 97.53 and his mean return index is 89.86. He has accumulated 870 minutes on court in this event, reflecting deep runs and some fatigue to monitor. Khachanov provides a contrasting profile. He is ranked 49, with an Elo of 1871.90 and a form index of 80.16. His mean serve index is 95.99 and his mean return index is 87.35. His surface strength index on hard is notably lower at 37.34. The model gives a small edge to Khachanov’s serve and return matchup, contributing 2.5 points toward him, but that is not enough to overcome Zverev’s advantages in overall strength and recent level. Over the last three matches at the US Open, Zverev has been dominant, winning all three matches in straight sets. Khachanov is unbeaten at this event as well, but his route included a five set match two rounds ago and a straight sets win most recently.

Total Games Predictions

🎾
Expected Total Games in Match 37.2 Most likely outcome: 35 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Alexander Zverev 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 Zverev 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 Zverev - Karen Khachanov) +2.4 Most likely spread: +2 (Alexander Zverev wins 2 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Alexander Zverev versus Karen Khachanov. Positive values indicate Alexander Zverev 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 Zverev 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 19.31 total, with predicted aces split of 11.38 for Zverev and 8.27 for Khachanov. The double faults prediction is 7.52 in total, with expected double faults of 3.62 for Zverev and 3.90 for Khachanov. Hard courts tend to produce a moderate number of aces compared with grass or clay, which aligns with these totals. Neither player shows a large serve rating gap, but the per player ace projections still favor Zverev by about three aces.
🎯
Expected Total Aces 19.3 Most likely: 17 aces Per player: Alexander Zverev 11.4 + Karen Khachanov 8.3
Expected Total Double Faults 7.5 Most likely: 6 double faults Per player: Alexander Zverev 3.6 + Karen Khachanov 3.9

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

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

🎯 Aces by Player

Alexander Zverev

Expected 11.4 aces

Probability distribution for the aces Alexander Zverev serves in this match.
Karen Khachanov

Expected 8.3 aces

Probability distribution for the aces Karen Khachanov serves in this match.

Double Faults Probability Distribution

Distribution

Probability of each double fault count outcome

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

Double Faults by Player

Alexander Zverev

Expected 3.6 double faults

Probability distribution for the double faults Alexander Zverev serves in this match.
Karen Khachanov

Expected 3.9 double faults

Probability distribution for the double faults Karen Khachanov serves in this match.

🎯 Match Format Predictions

Tiebreak Likelihood

Probability that any tiebreak is played in this match

46.7% Predicted: No tiebreak

Exact Score Distribution BO5

Probability of each set-by-set outcome (Alexander Zverev's perspective)

3-0 Most likely set score (33.1%)
Probability distribution of the final set score from Alexander Zverev's perspective. Format: BO5.

Final Prediction

Zverev’s advantage comes mainly from his recent high level at this stage of events and his overall strength on hard courts. The key factor to watch will be Zverev’s return effectiveness and how well Khachanov can sustain his serve under pressure.

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