TennisEdge's AI model finds no betting value in T. Boogaard vs Y. Wu (Hertogenbosch on 2026-06-10) — the market is efficient, with Y. Wu favoured at 1.16.
Independent estimates of who wins, each from a different method. The blend is what the bot prices against the market.
| Method | T. Boogaard | Y. Wu |
|---|---|---|
| Elo ratings-based, surface-weighted |
83.8% | 16.2% |
| Machine learning 29-feature gradient-boosted model |
91.5% | 8.5% |
| Blend what the bot actually prices off |
87.6% | 12.4% |
| Market implied de-vigged from the opening odds |
18.8% | 81.2% |
We publish how well these score against the closing market, including where they lose: how accurate are tennis predictions?
| Player | Surface | Elo | Record | Matches |
|---|---|---|---|---|
| T. Boogaard | hard | 1538 | 20–16 | 36 |
| Y. Wu | hard | 1769 | 88–36 | 124 |
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 June 19, 2026.
T. Boogaard leads 1–0 over 1 meeting. Full record.
| Date | Event | Surface | Winner | Score |
|---|---|---|---|---|
| June 10, 2026 | Hertogenbosch | grass | T. Boogaard | 2 - 1 |
| L | J. Kumstat | 2 - 0 | July 17, 2026 |
| W | G. Campana Lee | 1 - 1 | July 16, 2026 |
| W | G. Onclin | 2 - 1 | July 14, 2026 |
| L | C. Hewitt | 0 - 2 | July 10, 2026 |
| W | O. Page | 2 - 0 | July 9, 2026 |
| L | Y. Bu | 0 - 2 | July 17, 2026 |
| W | C. Langmo | 0 - 2 | July 15, 2026 |
| W | P. Marinkov | 2 - 0 | July 13, 2026 |
| W | P. Maloney | 2 - 0 | July 13, 2026 |
| L | S. Kozlov | 2 - 1 | July 9, 2026 |
All June 10, 2026 results & picks →
Qualitative override: The model's 67% win probability for Boogaard is a statistical artifact driven by a small sample size (8 matches) on grass, failing to account for the massive class gap between ATP rank #115 Wu and rank #1800 Boogaard.