TennisEdge's AI model finds no betting value in E. Arango vs A. Parks (Eastbourne on 2026-06-20) — the market is efficient, with A. Parks favoured at 1.48.
Independent estimates of who wins, each from a different method. The blend is what the bot prices against the market.
| Method | E. Arango | A. Parks |
|---|---|---|
| Elo ratings-based, surface-weighted |
25.3% | 74.7% |
| Machine learning 29-feature gradient-boosted model |
31.3% | 68.7% |
| Blend what the bot actually prices off |
28.3% | 71.7% |
| Market implied de-vigged from the opening odds |
37.9% | 62.1% |
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 July 14, 2026.
E. Arango leads 2–0 over 2 meetings. Full record.
| Date | Event | Surface | Winner | Score |
|---|---|---|---|---|
| June 20, 2026 | Eastbourne | grass | E. Arango | 2 - 1 |
| Feb. 27, 2024 | WTA Austin | hard | E. Arango | 2 - 0 |
| L | L. Boisson | 0 - 2 | Aug. 1, 2026 |
| L | T. Zidansek | 1 - 2 | July 14, 2026 |
| L | P. Badosa | 0 - 2 | July 8, 2026 |
| W | L. Nilsson | 2 - 0 | July 6, 2026 |
| L | A. Gasanova | 2 - 0 | June 29, 2026 |
| W | V. Jimenez Kasintseva | 0 - 2 | Aug. 3, 2026 |
| L | L. Havlickova | 0 - 2 | July 20, 2026 |
| L | M. Sakkari | 0 - 2 | July 17, 2026 |
| W | M. Hontama | 1 - 2 | July 15, 2026 |
| W | V. Grammatikopoulou | 0 - 2 | July 13, 2026 |
All June 20, 2026 results & picks →
The model consensus prices A. Parks at 68.7%, creating a 6.5% edge over the devigged market price of 62.1%. Qualitative analysis strongly supports this: Arango's Grass Elo of 1320 is approximately 270 points lower than her Hard/Court ratings, indicating a fundamental struggle on the surface, whereas Parks' 1700 Hard Elo and serve-centric game translate effectively to grass. With no conflicting injury news and Arango's recent form poor (0-2), the statistical edge is reinforced by a distinct tactical mismatch.