TennisEdge's AI model finds no betting value in O. Dodin vs M. Sawangkaew (Wimbledon on 2026-06-25) — the market is efficient, with M. Sawangkaew favoured at 1.44.
Independent estimates of who wins, each from a different method. The blend is what the bot prices against the market.
| Method | O. Dodin | M. Sawangkaew |
|---|---|---|
| Elo ratings-based, surface-weighted |
34.8% | 65.2% |
| Machine learning 29-feature gradient-boosted model |
33.3% | 66.7% |
| Blend what the bot actually prices off |
34.0% | 66.0% |
| Market implied de-vigged from the opening odds |
33.6% | 66.4% |
We publish how well these score against the closing market, including where they lose: how accurate are tennis predictions?
| Player | Surface | Elo | Record | Matches |
|---|---|---|---|---|
| O. Dodin | hard | 1563 | 133–73 | 206 |
| M. Sawangkaew | hard | 1718 | 145–79 | 224 |
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 17, 2026.
M. Sawangkaew leads 1–0 over 1 meeting. Full record.
| Date | Event | Surface | Winner | Score |
|---|---|---|---|---|
| June 25, 2026 | Wimbledon | grass | M. Sawangkaew | 2 - 1 |
| W | A. Rus | 2 - 1 | Aug. 4, 2026 |
| L | D. Salkova | 2 - 0 | July 22, 2026 |
| W | A. Oktiabreva | 0 - 2 | July 20, 2026 |
| L | N. Bains | 1 - 0 | July 17, 2026 |
| W | E. Appleton | 1 - 2 | July 16, 2026 |
| L | R. Sramkova | 0 - 2 | Aug. 1, 2026 |
| L | T. Preston | 2 - 1 | July 31, 2026 |
| W | E. Jones | 0 - 2 | July 30, 2026 |
| W | N. Hibino | 1 - 2 | July 29, 2026 |
| W | E. S. Liang | 0 - 2 | July 28, 2026 |
All June 25, 2026 results & picks →
JSON parse error — mathematical summary: O. Dodin shows 0.3% edge at 2.85 odds (consensus: 33.9% vs market 33.6%). Manual review recommended.