TennisEdge's AI model finds no betting value in Ka. Pliskova vs T. Gibson (Nottingham on 2026-06-19) — the market is efficient, with Ka. Pliskova favoured at 1.57.
Independent estimates of who wins, each from a different method. The blend is what the bot prices against the market.
| Method | Ka. Pliskova | T. Gibson |
|---|---|---|
| Elo ratings-based, surface-weighted |
69.7% | 30.3% |
| Machine learning 29-feature gradient-boosted model |
57.5% | 42.5% |
| Serve / return point-by-point simulation |
56.4% | 43.6% |
| Blend what the bot actually prices off |
61.2% | 38.8% |
| Market implied de-vigged from the opening odds |
60.2% | 39.8% |
We publish how well these score against the closing market, including where they lose: how accurate are tennis predictions?
| Player | Surface | Elo | Record | Matches |
|---|---|---|---|---|
| Ka. Pliskova | hard | 1747 | 77–47 | 124 |
| T. Gibson | hard | 1825 | 179–94 | 273 |
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.
Ka. Pliskova leads 1–0 over 1 meeting. Full record.
| Date | Event | Surface | Winner | Score |
|---|---|---|---|---|
| June 19, 2026 | Nottingham | grass | Ka. Pliskova | 2 - 0 |
| W | O. Oliynykova | 0 - 2 | Aug. 3, 2026 |
| L | I. Swiatek | 0 - 2 | July 2, 2026 |
| W | T. Valentova | 0 - 2 | June 30, 2026 |
| L | M. Bouzkova | 0 - 2 | June 20, 2026 |
| W | T. Gibson | 2 - 0 | June 19, 2026 |
| W | E. Cocciaretto | 1 - 0 | Aug. 3, 2026 |
| L | T. Maria | 0 - 2 | July 27, 2026 |
| L | M. Bouzkova | 1 - 2 | June 30, 2026 |
| L | M. Keys | 0 - 2 | June 23, 2026 |
| L | Ka. Pliskova | 2 - 0 | June 19, 2026 |
All June 19, 2026 results & picks →
The consensus model identifies a marginal 2.1% edge for Pliskova, driven primarily by the ELO model which favors her grass pedigree and massive serve advantage (61.9% service points won). However, the Machine Learning model disagrees significantly, projecting only a 57.5% win probability, which suggests the market may be correctly pricing in recent form or decline factors that ELO misses. With the Kelly criterion suggesting 0.0 units and a high 5.9% bookmaker margin, the risk-reward ratio is unfavorable for a bet.