Anna Kalinskaya vs McCartney Kessler: AI Prediction | Games, Spread, Aces & Double Faults
Why the Model Favors Anna Kalinskaya
The factors that drove this prediction, measured in win-probability points.
Starting from an even matchup, these factors move the model to 64% for Anna Kalinskaya. Computed with gradient-based attribution on our neural network — not editorial opinion. How to read this →
Also available in Claude. Query these predictions in plain language — our native connector lets Claude call our models on demand, no code.
Set it upRanking Trends
Anna Kalinskaya
- Current #20 2026-07-27
- 3 mo ago #24 2026-05-04
- 6 mo ago #27 2026-02-02
- 9 mo ago #33 2025-11-03
- 12 mo ago #31 2025-08-04
McCartney Kessler
- Current #1000 None
- 3 mo ago #1000 None
- 6 mo ago #1000 None
- 9 mo ago #1000 None
- 12 mo ago #1000 None
Player Metrics
Anna Kalinskaya
McCartney Kessler
Recent Matches
Anna Kalinskaya
- Last Match: vs Jessica Pegula (0-2) hard Washington Dc 75 min
- 2nd Last Match: vs Janice Tjen (2-1) hard Washington Dc 137 min
- 3rd Last Match: vs Daria Kasatkina (2-0) hard Washington Dc 65 min
- 4th Last Match: vs Belinda Bencic (1-2) grass Wimbledon 120 min
- 5th Last Match: vs Diane Parry (2-1) grass Wimbledon 120 min
McCartney Kessler
- Last Match: vs Cadence Brace (2-0) hard Montreal 85 min
- 2nd Last Match: vs Renata Zarazua (0-2) hard Memphis 84 min
- 3rd Last Match: vs Aryna Sabalenka (0-2) grass Wimbledon 120 min
- 4th Last Match: vs Oleksandra Oliynykova (2-0) grass Wimbledon 120 min
- 5th Last Match: vs Madison Keys (0-2) grass Eastbourne 72 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
Double Faults Probability Distribution
Distribution
Probability of each double fault count outcome
Cumulative Probability (CDF)
Probability of double faults ≤ X
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 (Anna Kalinskaya'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