Charo Esquiva Banuls vs Anastasia Bertacchi
Updated
Tennis Gauge's model favors Charo Esquiva Banuls, giving them a 93% chance to win against Anastasia Bertacchi (7%). Charo Esquiva Banuls leads 1-0 in their head-to-head. Banuls is 9-1 in their last 10, Bertacchi 4-6.
Pre-match prediction
The model makes Charo Esquiva Banuls a 93% favorite. The odds and the model roughly agree, so neither side shows value.
Model minus book: -2 pts
Model minus book: -8 pts
Model estimates, not betting advice. How the numbers work · Expected value of Charo Esquiva Banuls at -1667 · Model track record
Player comparison
| Charo Esquiva Banuls | Anastasia Bertacchi | |
|---|---|---|
| Tennis Gauge rating | 6577 | 6360 |
| Tour rank | WTA #431 | WTA #833 |
| Last 10 matches | 9-1 | 4-6 |
| Last 30 days | 8-0 | 3-2 |
| Current streak | 1 Loss | 2 Losses |
| Season record | 36-15 | 28-25 |
| UTR | 11.29 | 10.61 |
Head to head
Charo Esquiva Banuls leads 1-0.
| Date | Winner | Score | Tournament |
|---|---|---|---|
| 22.10.2026 | Charo Esquiva Banuls | 7-6, 6-0 | Spain Villena |
Recent form
Charo Esquiva Banuls, last 10
| Date | Opponent | Score | |
|---|---|---|---|
| 24.10.2026 | Neus Torner Sensano | L | 6-3, 6-4 |
| 23.10.2026 | Noemi Maines | W | 6-1, 6-2 |
| 22.10.2026 | Anastasia Bertacchi | W | 7-6, 6-0 |
| 21.10.2026 | Adriana Monlleo Ramos | W | 6-0, 6-2 |
| 20.10.2026 | Esther Lopez Alcaraz | W | 6-3, 6-0 |
| 20.10.2026 | Esther Lopez Alcaraz | W | 6-3, 6-0 |
| 04.10.2026 | Valentina Ivanov | W | 6-0, 6-2 |
| 03.10.2026 | Amandine Hesse | W | 6-2, 6-3 |
| 02.10.2026 | Valentina Ryser | W | 6-4, 6-7, 6-2 |
| 01.10.2026 | Radka Zelnickova | W | 6-1, 6-3 |
Anastasia Bertacchi, last 10
| Date | Opponent | Score | |
|---|---|---|---|
| 28.10.2026 | Alyssa Reguer | L | 6-3, 7-5 |
| 22.10.2026 | Charo Esquiva Banuls | L | 7-6, 6-0 |
| 21.10.2026 | Aleksandra Pozarenko | W | 7-5, 6-4 |
| 20.10.2026 | Pauline Dore | W | 6-7, 6-2, 6-0 |
| 08.10.2026 | Zuzanna Pawlikowska | L | 6-2, 6-4 |
| 06.10.2026 | Barakat Oyinlomo Quadre | W | 7-6, 6-2 |
| 29.09.2026 | Marta Soriano Santiago | L | 6-4, 6-2 |
| 24.09.2026 | Ellie Daniels | L | 6-3, 4-6, 7-5 |
| 22.09.2026 | Klara Blazkova | W | 6-3, 6-2 |
| 18.08.2026 | Mara Guth | L | 6-4, 6-3 |
Common opponents, last 12 months
| Opponent | Charo Esquiva Banuls | Anastasia Bertacchi |
|---|---|---|
| Aleksandra Pozarenko | 1-0 W 6-3, 6-3 |
1-0 W 7-5, 6-4 |
Earlier previews of this matchup
- 2026-10-27: WTA Villena (Spain), model gave Charo Esquiva Banuls 93% at -1667
- 2026-10-26: WTA Villena (Spain), model gave Charo Esquiva Banuls 93% at -1667
- 2026-10-25: WTA Villena (Spain), model gave Charo Esquiva Banuls 93% at -1667
- 2026-10-24: WTA Villena (Spain), model gave Charo Esquiva Banuls 93% at -1667
- 2026-10-23: WTA Villena (Spain), model gave Charo Esquiva Banuls 93% at -1667
- 2026-10-22: WTA Villena (Spain), model gave Charo Esquiva Banuls 93% at -1667
- 2026-10-21: WTA Villena (Spain), model gave Charo Esquiva Banuls 93% at -1667
Charo Esquiva Banuls vs Anastasia Bertacchi: quick answers
Who will win Charo Esquiva Banuls vs Anastasia Bertacchi?
Tennis Gauge's model favors Charo Esquiva Banuls, giving them a 93% chance to win against Anastasia Bertacchi (7%).
What is the head-to-head record between Charo Esquiva Banuls and Anastasia Bertacchi?
Charo Esquiva Banuls leads 1-0. Their most recent meeting was on October 22, 2026, won by Charo Esquiva Banuls 7-6, 6-0 at Spain Villena.
Who is in better form, Charo Esquiva Banuls or Anastasia Bertacchi?
Charo Esquiva Banuls is 9-1 in their last 10 matches (current streak: 1 Loss). Anastasia Bertacchi is 4-6 (current streak: 2 Losses).
How does Tennis Gauge rate Charo Esquiva Banuls and Anastasia Bertacchi?
Charo Esquiva Banuls is rated 6577 (WTA #431) and Anastasia Bertacchi is rated 6360 (WTA #833). Ratings update after every match and weight recent results and opponent strength.
What are the odds for Charo Esquiva Banuls vs Anastasia Bertacchi?
Charo Esquiva Banuls is priced at -1667 and Anastasia Bertacchi at +563, which implies a 94% and 15% chance to win. The model and the odds roughly agree, so neither side shows value.