TennisEdge's AI bot is backing Z. Sonmez (moneyline) in Z. Sonmez vs S. Bejlek (Eastbourne on 2026-06-24).
Independent estimates of who wins, each from a different method. The blend is what the bot prices against the market.
| Method | Z. Sonmez | S. Bejlek |
|---|---|---|
| Elo ratings-based, surface-weighted |
85.8% | 14.2% |
| Machine learning 29-feature gradient-boosted model |
64.4% | 35.6% |
| Blend what the bot actually prices off |
75.1% | 24.9% |
| Market implied de-vigged from the opening odds |
60.3% | 39.7% |
We publish how well these score against the closing market, including where they lose: how accurate are tennis predictions?
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.
Z. Sonmez leads 2–1 over 3 meetings. Full record.
| Date | Event | Surface | Winner | Score |
|---|---|---|---|---|
| June 24, 2026 | Eastbourne | grass | Z. Sonmez | Walk Over |
| Feb. 15, 2026 | WTA Dubai | hard | S. Bejlek | 2 - 0 |
| Sept. 8, 2021 | W25 Frydek Mistek | clay | Z. Sonmez | 2 - 0 |
| W | R. Marino | 0 - 2 | Aug. 3, 2026 |
| L | E. Kalieva | 1 - 2 | July 29, 2026 |
| W | C. Brace | 2 - 1 | July 28, 2026 |
| L | C. Liu | 0 - 2 | July 1, 2026 |
| W | A. Li | 1 - 2 | June 29, 2026 |
| W | Xiy. Wang | 1 - 2 | Aug. 2, 2026 |
| L | L. Tagger | 2 - 0 | July 24, 2026 |
| W | M. Timofeeva | 0 - 2 | July 23, 2026 |
| W | A. Blinkova | 1 - 2 | July 21, 2026 |
| L | C. Tauson | 2 - 0 | July 17, 2026 |
All June 24, 2026 results & picks →
The model consensus identifies a 9.8% edge on Sonmez, driven by her superior grass court proficiency compared to Bejlek's struggles on the surface. While Sonmez enters with high fatigue (10 matches in 14 days), Bejlek's 1-2 grass record suggests she lacks the tools to exploit this physical disadvantage effectively. Market trends indicate Bejlek may be over-priced due to the market chasing recent results, further supporting the value on the favorite. Despite the fatigue risk, the surface discrepancy is too large to ignore.