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
31
Height
5'7" (169 cm)
Plays
Right-Handed
75
Wins
104
Losses
41.9%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2026 | 0/1 | 0/1 | - | - |
| 2025 | 1/1 | - | 1/1 | - |
| 2024 | 0/1 | 0/1 | - | - |
| 2023 | 8/9 | 3/2 | 5/7 | - |
| 2022 | 9/11 | 5/3 | 4/7 | 0/1 |
| 2021 | 12/16 | 9/5 | 3/10 | 0/1 |
| 2020 | 5/7 | 4/3 | 1/4 | - |
| 2019 | 2/3 | - | 2/3 | - |
| 2018 | 3/5 | 2/4 | 1/1 | - |
| 2017 | 2/15 | 1/5 | 1/9 | 0/1 |
| 2016 | 18/23 | 10/7 | 8/14 | 0/2 |
| 2015 | 15/12 | 10/7 | 5/4 | 0/1 |
| Career | 75/104 | 44/38 | 31/60 | 0/6 |
Averages · Last 90 days (1 matches)
Serve
Return
Rally
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| May 18, 2026 | Rabat | Round of 32 | Fiona Ferro | Clay | 26 36 | L |
| Jan 13, 2025 | Australian Open | Round of 128 | Lulu Sun | Hard | 63 75 | W |
| Jan 13, 2025 | Australian Open | Round of 64 | Dayana Yastremska | Hard | 06 16 | L |
| Jul 29, 2024 | Paris Olympics | Round of 64 | Maria Sakkari | Clay | 06 16 | L |
| Aug 28, 2023 | Us Open | Round of 128 | Lauren Davis | Hard | 26 26 | L |
| Jul 24, 2023 | Lausanne | Round of 16 | Diane Parry | Clay | 46 57 | L |
| Jul 24, 2023 | Lausanne | Round of 32 | Jenny Duerst | Clay | 60 62 | W |
| May 8, 2023 | Rome | Round of 128 | Lucia Bronzetti | Clay | 63 36 63 | W |
| Apr 24, 2023 | Madrid | Round of 128 | Sara Errani | Clay | 64 60 | W |
| Apr 24, 2023 | Madrid | Round of 64 | Barbora Krejcikova | Clay | 36 64 06 | L |
Danka Kovinic is currently ranked #9999 in the WTA singles rankings with 0 points.
Danka Kovinic (WTA #9999) has a career win-loss record of 75-104 (41.9% win rate) and has won 0 WTA titles.
Smashrs tracks Danka'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.
