Wimbledon Wimbledon, GBR Grass Grand Slam Quarterfinals

Naomi Osaka vs Karolina Muchova: AI Prediction | Games, Spread, Aces & Double Faults

Naomi Osaka

Rank: #14
46%
VS

Karolina Muchova

Rank: #9
54%
Expected Total Games: 21.6
Predicted Winner: Karolina Muchova

Why the Model Favors Karolina Muchova

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

Head-to-head +5.1 Naomi Osaka
Overall strength +4.5 Karolina Muchova
Fatigue & recent workload +4.3 Naomi Osaka
Overall record & opposition quality +3.9 Karolina Muchova
Recent record by level +3.4 Karolina Muchova

Starting from an even matchup, these factors move the model to 54% for Karolina Muchova. Computed with gradient-based attribution on our neural network — not editorial opinion. How to read this →

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Player Metrics

Naomi Osaka

Form Index: 77.1
ELO Rating: 2014.0
Glicko2 Rating: 2005.6
Current Fatigue (minutes): 480.0
Surface Strength:
Hard: 55.1
Clay: 40.7
Grass: 54.5
Serve Rating: 97.6
Return Rating: 93.2

Karolina Muchova

Form Index: 74.1
ELO Rating: 2034.7
Glicko2 Rating: 2070.9
Current Fatigue (minutes): 480.0
Surface Strength:
Hard: 69.5
Clay: 32.6
Grass: 44.1
Serve Rating: 97.0
Return Rating: 87.0

Recent Matches

Naomi Osaka

  • Last Match: vs Aryna Sabalenka (2-0) grass Wimbledon 120 min
  • 2nd Last Match: vs Daria Kasatkina (2-0) grass Wimbledon 120 min
  • 3rd Last Match: vs Anastasia Gasanova (2-0) grass Wimbledon 120 min
  • 4th Last Match: vs Elsa Jacquemot (2-0) grass Wimbledon 120 min
  • 5th Last Match: vs Karolina Muchova (0-2) grass Bad Homburg 46 min

Karolina Muchova

  • Last Match: vs Barbora Krejcikova (2-1) grass Wimbledon 120 min
  • 2nd Last Match: vs Mananchaya Sawangkaew (2-0) grass Wimbledon 120 min
  • 3rd Last Match: vs Shuai Zhang (2-0) grass Wimbledon 120 min
  • 4th Last Match: vs Anastasia Zakharova (2-0) grass Wimbledon 120 min
  • 5th Last Match: vs Naomi Osaka (2-0) grass Bad Homburg 46 min

Head-to-Head (Last 2 Seasons)

2
Naomi Osaka
vs
1
Karolina Muchova
Hard
2 - 0
Clay
0 - 0
Grass
0 - 1

Key Prediction Insights

Quarterfinals at Wimbledon on grass — a Grand Slam stage where pace and low bounces reward aggressive serving and crisp ball-striking. The model favors Karolina Muchova to advance (54.13%) over Naomi Osaka (45.87%), with a projected total of about 21.6 games in the match.

Match Analysis

The model's edge for Muchova is driven primarily by her overall strength, overall record/opposition quality and recent-level form, while Osaka gains ground from head-to-head history and a slight fatigue/workload advantage. Muchova enters ranked 9 with an Elo of 2034.7 and a form index of 74.14; Osaka is ranked 14 with an Elo of 2014.0 and a slightly higher form index of 77.12. Both players show identical cumulative fatigue in this tournament (480 minutes), but Osaka’s three straight-set wins contrast with Muchova’s one three-set match among her last three, which helps explain the model’s fatigue tilt toward Osaka. On grass, Osaka’s surface strength index (54.46) is higher than Muchova’s (44.10). Both possess elite serve metrics — mean serve indices are 97.60 for Osaka and 96.99 for Muchova (difference not greater than 5 points). Osaka’s mean return index (93.22) is notably higher than Muchova’s (86.97), a gap greater than 5 points and a key tactical factor: she’s better equipped to pressure serves. Recent form is solid for both: Osaka has three 2-0 wins at this event, while Muchova has three wins but with a 2-1 in the last match, showing slightly more variance under pressure.

Total Games Predictions

🎾
Expected Total Games in Match 21.6 Most likely outcome: 21 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Naomi Osaka versus Karolina Muchova. 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 Naomi Osaka versus Karolina Muchova. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Naomi Osaka - Karolina Muchova) +0.2 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 Naomi Osaka versus Karolina Muchova. Positive values indicate Naomi Osaka winning more games, negative values indicate Karolina Muchova winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Naomi Osaka versus Karolina Muchova. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

Aces prediction: the match is expected to produce about 7.57 aces in total, and the predicted aces total is buoyed by the fast, low-bouncing grass surface that favors big, flat servers. Double faults prediction: expected double faults sit at roughly 5.32 for the match. Neither player holds a significantly higher serve rating, so both will likely contribute to the ace count rather than one dominating it.
🎯
Expected Total Aces 7.6 Most likely: 7 aces
Expected Total Double Faults 5.3 Most likely: 5 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Naomi Osaka versus Karolina Muchova. 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 Naomi Osaka versus Karolina Muchova. 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 Naomi Osaka versus Karolina Muchova. 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 Naomi Osaka versus Karolina Muchova. The curve shows the cumulative probability for each double faults threshold.

🎯 Match Format Predictions

Tiebreak Likelihood

Probability that any tiebreak is played in this match

36.9% Predicted: No tiebreak

Exact Score Distribution BO3

Probability of each set-by-set outcome (Naomi Osaka's perspective)

2-0 Most likely set score (33.6%)
Probability distribution of the final set score from Naomi Osaka's perspective. Format: BO3.

Final Prediction

Muchova’s narrow projected edge comes down to overall strength and the quality of opposition she’s handled this fortnight — that cluster of factors is the biggest driver behind her favoring. Watch the clash between Osaka’s superior return and Muchova’s all-court aggression: that duel should determine how many service games are actually broken.

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