Indian Wells CA, U.S.A. Hard Masters 1000 Round of 64

Karen Khachanov vs Joao Fonseca: AI Prediction | Games, Spread, Aces & Double Faults

Karen Khachanov

Rank: #16
58%
VS

Joao Fonseca

Rank: #38
42%
Expected Total Games: 24.8
Predicted Winner: Karen Khachanov

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Player Metrics

Karen Khachanov

Form Index: 44.5
ELO Rating: 1893.0
Glicko2 Rating: 1732.7
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 9.7
Clay: 17.4
Grass: 19.6
Serve Rating: 73.4
Return Rating: 52.0

Joao Fonseca

Form Index: 44.0
ELO Rating: 1231.1
Glicko2 Rating: 1552.3
Current Fatigue (minutes): 102.0
Surface Strength:
Hard: 11.8
Clay: 11.7
Grass: 12.2
Serve Rating: 97.0
Return Rating: 90.1

Recent Matches

Karen Khachanov

Joao Fonseca

Head-to-Head (Last 2 Seasons)

1
Karen Khachanov
vs
0
Joao Fonseca
Hard
1 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

At Indian Wells in California, Round of 64 action on hard courts sets up a contrasting stylistic clash in this Masters 1000 event: 16th-ranked Karen Khachanov faces 38th-ranked Joao Fonseca. The model favors Khachanov to advance (57.61% chance) over Fonseca (42.39%), with a predicted total of about 24.8 games in the match — pointing to a relatively tight, likely straight-sets contest with a handful of service breaks.

Match Analysis

Khachanov arrives with a significantly higher Elo (1893) and the superior tour rank (16 vs 38), and his form index (44.52) is almost identical to Fonseca’s (44.03), so recent rhythm is comparable. Fatigue is a clear differentiator: Khachanov shows 0 minutes on court in this event whereas Fonseca has already logged 102 minutes, which could matter over long rallies and late in sets. Both players have low surface strength indices on hard (Khachanov 9.70, Fonseca 11.81), indicating neither is disproportionately favored on this surface by that metric. Serve and return profiles diverge sharply. Fonseca’s mean serve index (96.95) is markedly higher than Khachanov’s (73.37) — a gap well over 5 points — and his mean return index (90.06) also dwarfs Khachanov’s (51.97), another large differential. Those numbers suggest Fonseca can produce free points on serve and is aggressive on return, while Khachanov’s game leans more on baseline power and standard service production. Recent form: Khachanov is 1-2 in his last three hard-court matches (wins over Shevchenko, losses to Brooksby and Alcaraz), while Fonseca is coming off a straight-sets win at Indian Wells and a mixed clay swing in Rio (one win, one loss). Match lengths for recent contests indicate both can play long when needed.

Total Games Predictions

🎾
Expected Total Games in Match 24.8 Most likely outcome: 24 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

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

Games Spread Predictions

📈
Expected Games Spread (Karen Khachanov - Joao Fonseca) +0.6 Most likely spread: 0 (even number of games won)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

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

Probability of spread ≤ X

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

Aces and Double Faults Predictions

The aces prediction sits at about 21.2 for the match with expected double faults near 4.9. On a medium-paced hard court, that level of predicted aces is plausible — hard courts reward big servers but are not as serve-dominant as grass. Given Fonseca’s much higher serve rating, the predicted aces are likely to be driven by him; conversely, the expected double faults remain modest, so double faults prediction should not be a decisive factor.
🎯
Expected Total Aces 21.2 Most likely: 21 aces
Expected Total Double Faults 4.9 Most likely: 4 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

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

Final Prediction

Khachanov’s edge comes from higher Elo and ranking plus being fresher at this stage of the event, which offsets Fonseca’s superior raw serve and return indices. The key to watch: how Fonseca converts his serve power into free points and whether Khachanov can neutralize that with depth and movement; that matchup of serving versus returning will likely decide the outcome.

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