TennisEdge's AI model finds no betting value in F. Cina vs A. Blockx (Rome on 2026-05-06) — the market is efficient, with A. Blockx favoured at 1.21.
Independent estimates of who wins, each from a different method. The blend is what the bot prices against the market.
| Method | F. Cina | A. Blockx |
|---|---|---|
| Elo ratings-based, surface-weighted |
60.1% | 39.9% |
| Machine learning 29-feature gradient-boosted model |
62.1% | 37.9% |
| Blend what the bot actually prices off |
61.1% | 38.9% |
| Market implied de-vigged from the opening odds |
21.6% | 78.4% |
We publish how well these score against the closing market, including where they lose: how accurate are tennis predictions?
| Player | Surface | Elo | Record | Matches |
|---|---|---|---|---|
| F. Cina | hard | 1683 | 55–35 | 90 |
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.
| W | E. Ymer | 2 - 0 | Aug. 3, 2026 |
| L | F. Diaz Acosta | 2 - 1 | July 20, 2026 |
| W | L. Giustino | 2 - 0 | July 19, 2026 |
| W | D. Michalski | 2 - 1 | July 18, 2026 |
| L | Q. Halys | 1 - 2 | July 14, 2026 |
| L | L. Draxl | 2 - 0 | July 19, 2025 |
| W | R. Sakamoto | 2 - 0 | July 10, 2025 |
| L | L. Gavrielides | 2 - 0 | May 24, 2023 |
All May 6, 2026 results & picks →
Math-only prediction: no LLM calls used