Daria Snigur vs Mirra Andreeva Prediction
Why the Model Favors Mirra Andreeva
The factors that drove this prediction, measured in win-probability points.
Starting from an even matchup, these factors move the model to 85% for Mirra Andreeva. Computed with gradient-based attribution on our neural network, not editorial opinion. How to read this →
Also available in Claude and Perplexity. Query these predictions in plain language: our native connector lets your AI assistant call our models on demand, no code.
Set it upRanking Trends
Daria Snigur
- Current #46 2026-09-28
- 3 mo ago #77 2026-06-29
- 6 mo ago #93 2026-03-30
- 9 mo ago #153 2025-12-29
- 12 mo ago #184 2025-09-29
Mirra Andreeva
- Current #5 2026-09-28
- 3 mo ago #5 2026-06-29
- 6 mo ago #10 2026-03-30
- 9 mo ago #9 2025-12-29
- 12 mo ago #5 2025-09-29
Player Metrics
Daria Snigur
Mirra Andreeva
Recent Matches
Daria Snigur
- Last Match: vs Taylah Preston (2-0) hard Beijing 47 min
- 2nd Last Match: vs Jasmine Paolini (2-1) hard Beijing 131 min
- 3rd Last Match: vs Katarzyna Kawa (2-1) hard Beijing 134 min
- 4th Last Match: vs Diana Shnaider (0-2) hard Us Open 120 min
- 5th Last Match: vs Madison Keys (1-2) hard Cincinnati 127 min
Mirra Andreeva
- Last Match: vs Polina Kudermetova (2-0) hard Beijing 68 min
- 2nd Last Match: vs Yue Yuan (2-1) hard Beijing 112 min
- 3rd Last Match: vs Leylah Fernandez (0-2) hard Singapore 92 min
- 4th Last Match: vs Aliaksandra Sasnovich (2-0) hard Singapore 72 min
- 5th Last Match: vs Coco Gauff (1-2) hard Us Open 120 min
Head-to-Head (Last 2 Seasons)
Key Prediction Insights
Match Analysis
Total Games Predictions
Total Games Probability Distribution
Distribution
Probability of each total games outcome
Cumulative Probability (CDF)
Probability of total games ≤ X
Games Spread Predictions
Games Spread Probability Distribution
Distribution
Probability of each games spread outcome
Cumulative Probability (CDF)
Probability of spread ≤ X
Aces and Double Faults Predictions
Aces Probability Distribution
Distribution
Probability of each ace count outcome
Cumulative Probability (CDF)
Probability of aces ≤ X
Aces by Player
Daria Snigur
Expected 1.0 aces
Mirra Andreeva
Expected 2.4 aces
Double Faults Probability Distribution
Distribution
Probability of each double fault count outcome
Cumulative Probability (CDF)
Probability of double faults ≤ X
Double Faults by Player
Daria Snigur
Expected 2.6 double faults
Mirra Andreeva
Expected 3.3 double faults
Match Format Predictions
Tiebreak Likelihood
Probability that any tiebreak is played in this match
Exact Score Distribution BO3
Probability of each set-by-set outcome (Daria Snigur's perspective)
Full distributions as structured data (JSON or CSV)
Final Prediction
Get Daily Tennis Predictions
Enjoyed this analysis? Subscribe to our Telegram channel and receive daily AI-driven tennis predictions directly on your phone.
Join Our Telegram Channel