Nishesh Basavareddy vs Raphael Collignon Prediction
Why the Model Favors Raphael Collignon
The factors that drove this prediction, measured in win-probability points.
Starting from an even matchup, these factors move the model to 50% for Raphael Collignon. 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
Nishesh Basavareddy
- Current #134 2026-10-19
- 3 mo ago #146 2026-07-20
- 6 mo ago #177 2026-04-20
- 9 mo ago #242 2026-01-19
- 12 mo ago #123 2025-10-20
Raphael Collignon
- Current #55 2026-10-19
- 3 mo ago #37 2026-07-20
- 6 mo ago #71 2026-04-20
- 9 mo ago #72 2026-01-19
- 12 mo ago #73 2025-10-20
Player Metrics
Nishesh Basavareddy
Raphael Collignon
Recent Matches
Nishesh Basavareddy
- Last Match: vs Aziz Dougaz (2-0) hard Brussels 99 min
- 2nd Last Match: vs Edas Butvilas (2-0) hard Brussels 81 min
- 3rd Last Match: vs Kimmer Coppejans (0-2) hard Shanghai 91 min
- 4th Last Match: vs Tristan Schoolkate (1-3) hard Us Open 174 min
- 5th Last Match: vs Arthur Gea (2-0) hard Us Open 174 min
Raphael Collignon
- Last Match: vs Sebastian Gorzny (2-3) hard Us Open 174 min
- 2nd Last Match: vs Rinky Hijikata (1-2) hard Winston Salem 190 min
- 3rd Last Match: vs Mariano Navone (0-2) hard Cincinnati 111 min
- 4th Last Match: vs Alexei Popyrin (0-2) hard Toronto 74 min
- 5th Last Match: vs Daniel Altmaier (0-2) clay Kitzbuhel 84 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
Nishesh Basavareddy
Expected 6.0 aces
Raphael Collignon
Expected 7.8 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
Nishesh Basavareddy
Expected 4.1 double faults
Raphael Collignon
Expected 5.3 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 (Nishesh Basavareddy'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