WTA Tour
WTA World Ranking - 0 pts
⚔️ The Gladiator
A fierce competitor who thrives in physical battles and tight sets. Combines solid serve and return with an unyielding fighting spirit that makes every match a war of attrition.
Strong against
Weak against
Age
33
Height
5'7" (171 cm)
14
Wins
17
Losses
45.2%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2024 | 0/2 | - | 0/2 | - |
| 2022 | 1/3 | 0/1 | 1/2 | - |
| 2021 | 1/1 | 1/1 | - | - |
| 2020 | 2/2 | 2/2 | - | - |
| 2019 | 2/2 | 2/2 | - | - |
| 2018 | 3/1 | 3/1 | - | - |
| 2017 | 3/2 | - | 3/2 | - |
| 2016 | 2/3 | 0/1 | 2/2 | - |
| 2015 | 0/1 | - | 0/1 | - |
| Career | 14/17 | 8/8 | 6/9 | - |
No serve and return data available yet.
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Jan 1, 2024 | United Cup | Round Robin | Leylah Fernandez | Hard | 26 36 | L |
| Jan 1, 2024 | United Cup | Round Robin | Maria Sakkari | Hard | 06 16 | L |
| Apr 16, 2022 | BJK Cup G1 PPO: BRA vs CHI | Round Robin | Beatriz Haddad Maia | Hard | 26 36 | L |
| Apr 15, 2022 | BJK Cup G1 RR: CHI vs ECU | Round Robin | Charlotte Roemer | Hard | 75 62 | W |
| Apr 13, 2022 | BJK Cup G1 RR: MEX vs CHI | Round Robin | Renata Zarazua | Hard | 75 46 36 | L |
| Apr 4, 2022 | Bogota | Round of 32 | Ipek Oz | Clay | 26 57 | L |
| Apr 5, 2021 | Bogota | Round of 16 | Harmony Tan | Clay | 46 67 | L |
| Apr 5, 2021 | Bogota | Round of 32 | Clara Tauson | Clay | 36 63 62 | W |
| Feb 8, 2020 | Fed Cup G1 REL: VEN vs CHI | Round Robin | Andrea Gamiz | Clay | 67 64 06 | L |
| Feb 7, 2020 | Fed Cup G1 RR: CHI vs MEX | Round Robin | Giuliana Olmos | Clay | 62 64 | W |
Daniela Seguel is currently ranked #9999 in the WTA singles rankings with 0 points.
Daniela Seguel (WTA #9999) has a career win-loss record of 14-17 (45.2% win rate) and has won 0 WTA titles.
Smashrs tracks Daniela's upcoming matches with AI-powered predictions across six independent models. Our confidence score reflects the degree of agreement between models - a higher score means stronger consensus. Check back before each match for the latest prediction.
