Beijing Beijing, CHN Hard Wta 1000 Round of 16

Linda Noskova vs Ekaterina Alexandrova Prediction

Linda Noskova

Rank: #6
71%
VS

Ekaterina Alexandrova

Rank: #28
29%
Expected Total Games: 22.1
Predicted Winner: Linda Noskova

Why the Model Favors Linda Noskova

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

Overall strength +4.5 Linda Noskova
Serve & return game +3.9 Linda Noskova
Recent record by level +3.4 Linda Noskova
Age +3.2 Linda Noskova
Overall record & opposition quality +2.1 Linda Noskova

Starting from an even matchup, these factors move the model to 71% for Linda Noskova. Computed with gradient-based attribution on our neural network, not editorial opinion. How to read this →

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Player Metrics

Linda Noskova

Form Index: 63.7
ELO Rating: 2061.6
Glicko2 Rating: 1980.3
Current Fatigue (minutes): 139.0
Surface Strength:
Hard: 58.9
Clay: 32.0
Grass: 69.6
Serve Rating: 97.4
Return Rating: 88.6

Ekaterina Alexandrova

Form Index: 54.8
ELO Rating: 1819.3
Glicko2 Rating: 1786.4
Current Fatigue (minutes): 197.0
Surface Strength:
Hard: 49.3
Clay: 27.3
Grass: 39.3
Serve Rating: 96.0
Return Rating: 87.4

Recent Matches

Linda Noskova
✅ ✅ ❌ ✅ ✅

Ekaterina Alexandrova
✅ ✅ ❌ ✅ ✅

Head-to-Head (Last 2 Seasons)

1
Linda Noskova
vs
1
Ekaterina Alexandrova
Hard
0 - 1
Clay
1 - 0
Grass
0 - 0

Key Prediction Insights

Linda Noskova is favored, with the forecast giving her a 71% chance of winning to Ekaterina Alexandrova’s 29%. The expected total is 22.1 games.

Match Analysis

The main separation is overall strength: Noskova is ranked sixth, compared with Alexandrova at 28th, and has the stronger serve and return profile. That combination gives Noskova more ways to take control of points, particularly if she can use her return to put Alexandrova under pressure. Their Beijing results also favor Noskova. She has beaten Elena-Gabriela Ruse and Viktorija Golubic in straight sets, while Alexandrova’s win over Diana Shnaider went three sets after a straight-set victory over Aliaksandra Sasnovich. Noskova has also spent less time on court in Beijing, 139 minutes to Alexandrova’s 197.

Total Games Predictions

🎾
Expected Total Games in Match 22.1 Most likely outcome: 21 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Linda Noskova versus Ekaterina Alexandrova. 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 Linda Noskova versus Ekaterina Alexandrova. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Linda Noskova - Ekaterina Alexandrova) +1.8 Most likely spread: +1 (Linda Noskova wins 1 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Linda Noskova versus Ekaterina Alexandrova. Positive values indicate Linda Noskova winning more games, negative values indicate Ekaterina Alexandrova winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Linda Noskova versus Ekaterina Alexandrova. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

Noskova is projected to hit 5.1 aces and 4.3 double faults, while Alexandrova is forecast for 4.4 aces and 4.9 double faults. Their serving profiles are relatively close, which fits the narrow gap in projected aces, though the forecast has both players making several double faults.
🎯
Expected Total Aces 9.4 Most likely: 8 aces Per player: Linda Noskova 5.1 + Ekaterina Alexandrova 4.4
❌
Expected Total Double Faults 9.0 Most likely: 8 double faults Per player: Linda Noskova 4.2 + Ekaterina Alexandrova 4.9

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Linda Noskova versus Ekaterina Alexandrova. 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 Linda Noskova versus Ekaterina Alexandrova. The curve shows the cumulative probability for each aces threshold.

🎯 Aces by Player

Linda Noskova

Expected 5.1 aces

Probability distribution for the aces Linda Noskova serves in this match.
Ekaterina Alexandrova

Expected 4.4 aces

Probability distribution for the aces Ekaterina Alexandrova serves in this match.

❌ Double Faults Probability Distribution

Distribution

Probability of each double fault count outcome

Probability distribution chart for double faults in Linda Noskova versus Ekaterina Alexandrova. 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 Linda Noskova versus Ekaterina Alexandrova. The curve shows the cumulative probability for each double faults threshold.

❌ Double Faults by Player

Linda Noskova

Expected 4.2 double faults

Probability distribution for the double faults Linda Noskova serves in this match.
Ekaterina Alexandrova

Expected 4.9 double faults

Probability distribution for the double faults Ekaterina Alexandrova serves in this match.

Match Format Predictions

Tiebreak Likelihood

Probability that any tiebreak is played in this match

32.0% Predicted: No tiebreak

Exact Score Distribution BO3

Probability of each set-by-set outcome (Linda Noskova's perspective)

2-0 Most likely set score (42.7%)
Probability distribution of the final set score from Linda Noskova's perspective. Format: BO3.

Final Prediction

Alexandrova’s serve is her clearest way to disrupt the forecast: if it produces quick points, she can limit Noskova’s opportunities to press with her stronger return. Noskova’s lower workload could matter if the match extends.

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