WTA Tour
WTA World Ranking - 0 pts
🏃 Pusher
The ultimate frustrator - keeps the ball in play at all costs, forcing opponents to generate their own winners. Wins by attrition and opponents' impatience rather than outright power.
Strong against
Weak against
Age
29
Height
5'7" (170 cm)
Plays
Right-Handed
64
Wins
82
Losses
43.8%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2025 | 0/1 | - | 0/1 | - |
| 2024 | 10/24 | 2/9 | 8/13 | 0/2 |
| 2023 | 13/22 | 5/6 | 6/13 | 2/3 |
| 2022 | 4/4 | 1/1 | 3/3 | - |
| 2021 | 16/19 | 4/5 | 9/12 | 3/2 |
| 2020 | 10/4 | 8/2 | 2/2 | - |
| 2018 | 1/1 | 1/1 | - | - |
| 2017 | 6/3 | 1/2 | 5/1 | - |
| 2016 | 4/4 | 4/1 | 0/3 | - |
| Career | 64/82 | 26/27 | 33/48 | 5/7 |
No serve and return data available yet.
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Jan 13, 2025 | Australian Open | Round of 128 | Karolina Muchova | Hard | 16 16 | L |
| Oct 28, 2024 | Merida | Round of 32 | Polina Kudermetova | Hard | 16 16 | L |
| Sep 25, 2024 | Beijing | Round of 64 | Dayana Yastremska | Hard | 75 67 62 | W |
| Sep 25, 2024 | Beijing | Round of 32 | Qinwen Zheng | Hard | 36 26 | L |
| Sep 25, 2024 | Beijing | Round of 128 | Yufei Ren | Hard | 64 62 | W |
| Sep 16, 2024 | Hua Hin 2 | Quarterfinals | Tamara Zidansek | Hard | 64 67 67 | L |
| Sep 16, 2024 | Hua Hin 2 | Round of 32 | Ksenia Laskutova | Hard | 61 60 | W |
| Sep 16, 2024 | Hua Hin 2 | Round of 16 | Katerina Siniakova | Hard | 63 63 | W |
| Sep 9, 2024 | Monastir | Round of 32 | Antonia Ruzic | Hard | 61 26 46 | L |
| Aug 26, 2024 | Us Open | Round of 128 | Diana Shnaider | Hard | 06 16 | L |
Nadia Podoroska is currently ranked #9999 in the WTA singles rankings with 0 points.
Nadia Podoroska (WTA #9999) has a career win-loss record of 64-82 (43.8% win rate) and has won 0 WTA titles.
Smashrs tracks Nadia'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.
