TennisEdge's AI bot is backing A. Sasnovich (moneyline) in A. Sasnovich vs B. Andreescu (Wimbledon on 2026-06-25).
Independent estimates of who wins, each from a different method. The blend is what the bot prices against the market.
| Method | A. Sasnovich | B. Andreescu |
|---|---|---|
| Elo ratings-based, surface-weighted |
50.4% | 49.6% |
| Machine learning 29-feature gradient-boosted model |
62.7% | 37.3% |
| Blend what the bot actually prices off |
56.6% | 43.4% |
| Market implied de-vigged from the opening odds |
45.5% | 54.5% |
We publish how well these score against the closing market, including where they lose: how accurate are tennis predictions?
| Player | Surface | Elo | Record | Matches |
|---|---|---|---|---|
| A. Sasnovich | hard | 1737 | 89–80 | 169 |
| B. Andreescu | hard | 1721 | 50–34 | 84 |
Our own ratings, computed from match results since 2018. Players with fewer than 5 rated matches are omitted rather than shown at a provisional starting value. Last updated July 14, 2026.
B. Andreescu leads 2–0 over 2 meetings. Full record.
| Date | Event | Surface | Winner | Score |
|---|---|---|---|---|
| June 25, 2026 | Wimbledon | grass | B. Andreescu | 2 - 0 |
| Sept. 30, 2019 | Beijing | hard | B. Andreescu | 2 - 1 |
| L | M. Timofeeva | 2 - 0 | July 21, 2026 |
| L | T. Valentova | 2 - 0 | July 16, 2026 |
| W | A. Blinkova | 1 - 2 | July 14, 2026 |
| L | B. Andreescu | 0 - 2 | June 25, 2026 |
| W | S. Hunter | 2 - 1 | June 24, 2026 |
| L | N. Bartunkova | 2 - 0 | Aug. 3, 2026 |
| L | S. Zhang | 0 - 2 | June 29, 2026 |
| W | A. Sasnovich | 0 - 2 | June 25, 2026 |
| W | J. Teichmann | 2 - 1 | June 24, 2026 |
| W | P. Hercog | 2 - 0 | June 23, 2026 |
All June 25, 2026 results & picks →
The model consensus identifies an 8.0% value edge on Sasnovich, driven primarily by the Machine Learning model's high conviction (62.7%) which likely accounts for her flat-hitting style being well-suited to grass. While qualitative analysis flags a significant fatigue disadvantage for Sasnovich (4h 53m vs 2h 34m court time) and a 'Market Chasing' warning that implies she may be over-priced, the magnitude of the ML model's edge is difficult to ignore. In the absence of specific injury news, the mathematical value dictates backing the underdog.