WTA Tour
WTA World Ranking - 854 pts
🪃 Counterpuncher
Turns defense into offense. Absorbs pace, redirects with precision, and thrives in long rallies by letting opponents beat themselves. Excels at converting break points when they matter most.
Strong against
Weak against
Age
33
Height
5'7" (169 cm)
Plays
Right-Handed
107
Wins
142
Losses
43%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2026 | 3/5 | 2/2 | 1/3 | - |
| 2025 | 10/14 | 1/2 | 9/11 | 0/1 |
| 2024 | 10/14 | 1/2 | 8/8 | 1/4 |
| 2023 | 5/13 | 0/2 | 2/9 | 3/2 |
| 2022 | 16/19 | 4/6 | 9/9 | 3/4 |
| 2021 | 20/17 | 1/3 | 13/10 | 6/4 |
| 2020 | 0/3 | - | 0/3 | - |
| 2019 | 13/15 | 1/3 | 9/9 | 3/3 |
| 2018 | 3/12 | 1/4 | 2/7 | 0/1 |
| 2017 | 9/19 | 1/6 | 7/12 | 1/1 |
| 2016 | 18/11 | 7/2 | 9/8 | 2/1 |
| Career | 107/142 | 19/32 | 69/89 | 19/21 |
Averages · Last 90 days (5 matches)
Serve
Return
Rally
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| May 5, 2026 | Rome | Round of 64 | Maya Joint | Clay | 75 62 | W |
| May 5, 2026 | Rome | Round of 32 | Mirra Andreeva | Clay | 16 64 06 | L |
| May 5, 2026 | Rome | Round of 128 | Federica Urgesi | Clay | 61 61 | W |
| Apr 21, 2026 | Madrid | Round of 128 | Anna Bondar | Clay | 26 36 | L |
| Mar 17, 2026 | Miami | Round of 128 | Peyton Stearns | Hard | 67 46 | L |
| Feb 1, 2026 | Ostrava | Round of 16 | Katie Boulter | Hard | 26 26 | L |
| Feb 1, 2026 | Ostrava | Round of 32 | Sinja Kraus | Hard | 64 60 | W |
| Jan 19, 2026 | Australian Open | Round of 128 | Varvara Gracheva | Hard | 16 62 16 | L |
| Oct 27, 2025 | Jiujiang | Semifinals | Lilli Tagger | Hard | 16 64 57 | L |
| Oct 27, 2025 | Jiujiang | Round of 32 | Rina Saigo | Hard | 62 64 | W |
French Open
Viktorija Golubic is currently ranked #90 in the WTA singles rankings with 854 points.
Viktorija Golubic (WTA #90) has a career win-loss record of 107-142 (43% win rate) and has won 0 WTA titles.
Smashrs tracks Viktorija'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.
