TennisEdge's AI model finds no betting value in K. Siniakova vs Q. Zheng (Wimbledon on 2026-06-29) — the market is efficient, with K. Siniakova favoured at 1.80.
Independent estimates of who wins, each from a different method. The blend is what the bot prices against the market.
| Method | K. Siniakova | Q. Zheng |
|---|---|---|
| Elo ratings-based, surface-weighted |
61.5% | 38.5% |
| Machine learning 29-feature gradient-boosted model |
39.7% | 60.3% |
| Serve / return point-by-point simulation |
63.6% | 36.4% |
| Blend what the bot actually prices off |
54.9% | 45.1% |
| Market implied de-vigged from the opening odds |
52.6% | 47.4% |
We publish how well these score against the closing market, including where they lose: how accurate are tennis predictions?
| Player | Surface | Elo | Record | Matches |
|---|---|---|---|---|
| K. Siniakova | hard | 1822 | 101–77 | 178 |
| Q. Zheng | hard | 1887 | 121–55 | 176 |
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 March 18, 2026.
K. Siniakova leads 4–1 over 5 meetings. Full record.
| Date | Event | Surface | Winner | Score |
|---|---|---|---|---|
| June 29, 2026 | Wimbledon | grass | K. Siniakova | 2 - 0 |
| July 1, 2025 | Wimbledon | grass | K. Siniakova | 2 - 1 |
| June 20, 2024 | WTA Berlin | grass | K. Siniakova | 2 - 0 |
| March 22, 2024 | WTA Miami | hard | Q. Zheng | 1 - 1 |
| July 3, 2023 | WTA Wimbledon | grass | K. Siniakova | 2 - 0 |
| L | N. Bartunkova | 0 - 2 | July 1, 2026 |
| W | Q. Zheng | 2 - 0 | June 29, 2026 |
| L | L. Samsonova | 2 - 0 | June 21, 2026 |
| L | J. Pegula | 2 - 0 | June 17, 2026 |
| W | R. Masarova | 2 - 0 | June 16, 2026 |
| L | L. Tararudee | 2 - 0 | Aug. 1, 2026 |
| L | A. Eala | 2 - 1 | July 28, 2026 |
| L | B. Krejcikova | 2 - 0 | July 17, 2026 |
| W | E. Micic | 0 - 2 | July 15, 2026 |
| W | J. Bouzas Maneiro | 2 - 0 | July 13, 2026 |
All June 29, 2026 results & picks →
The mathematical consensus suggests a marginal 2.0% edge on Q. Zheng, driven almost entirely by the ML model favoring her hard-court Elo differential. However, this is a grass match where Siniakova, a doubles specialist with superior touch, recently won the Berlin title. Zheng enters in poor form, losing to low-ELO opponents on grass. The ML model's reliance on hard-court metrics for a grass surface match is a structural flaw, invalidating the mathematical edge. While Siniakova's title run came against a softer draw, her H2H lead (3-1) and surface fit outweigh the model's signal.