TennisEdge's AI model finds no betting value in B. Andreescu vs S. Zhang (Wimbledon on 2026-06-29) — the market is efficient, with B. Andreescu favoured at 1.61.
Independent estimates of who wins, each from a different method. The blend is what the bot prices against the market.
| Method | B. Andreescu | S. Zhang |
|---|---|---|
| Elo ratings-based, surface-weighted |
55.6% | 44.4% |
| Machine learning 29-feature gradient-boosted model |
64.9% | 35.1% |
| Blend what the bot actually prices off |
60.3% | 39.7% |
| Market implied de-vigged from the opening odds |
58.8% | 41.2% |
We publish how well these score against the closing market, including where they lose: how accurate are tennis predictions?
| Player | Surface | Elo | Record | Matches |
|---|---|---|---|---|
| B. Andreescu | hard | 1721 | 50–34 | 84 |
| S. Zhang | hard | 1727 | 111–88 | 199 |
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 Aug. 3, 2026.
S. Zhang leads 1–0 over 1 meeting. Full record.
| Date | Event | Surface | Winner | Score |
|---|---|---|---|---|
| June 29, 2026 | Wimbledon | grass | S. Zhang | 2 - 0 |
| 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 |
| W | Y. Putintseva | 0 - 2 | Aug. 3, 2026 |
| L | G. Knutson | 1 - 2 | July 25, 2026 |
| L | K. Muchova | 2 - 0 | July 1, 2026 |
| W | B. Andreescu | 0 - 2 | June 29, 2026 |
| L | G. Ruse | 0 - 2 | June 20, 2026 |
All June 29, 2026 results & picks →
The consensus model identifies a marginal 1.3% edge for Andreescu, but this is driven by the ML model (64.9%) while ELO (55.6%) actually sees value on Zhang. Qualitative factors raise significant red flags: the market is explicitly 'chasing' Andreescu's recent results, suggesting she is over-priced, and she faces a 'Letdown' spot just 3 days after a final. Zhang's status as a 'Strong Specialist' on grass further counters the ML's surface-agnostic metrics. With Kelly at 0.0 and conflicting signals, the risk of a flat performance outweighs the minimal mathematical value.