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
28
Height
5'7" (171 cm)
Plays
Right-Handed
23
Wins
15
Losses
60.5%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2026 | 1/5 | 1/4 | 0/1 | - |
| 2025 | 22/6 | 22/4 | 0/2 | - |
| 2022 | 0/1 | 0/1 | - | - |
| 2018 | 0/1 | 0/1 | - | - |
| 2017 | 0/1 | 0/1 | - | - |
| 2016 | 0/1 | 0/1 | - | - |
| Career | 23/15 | 23/12 | 0/3 | - |
Averages · Last 90 days (4 matches)
Serve
Return
Rally
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| May 16, 2026 | Bundesliga - women | Quirine Lemoine | Clay | L | ||
| Apr 13, 2026 | W35 Santa Margherita di Pula | Round of 32 | Enola Chiesa | Clay | 06 46 | L |
| Mar 9, 2026 | W50 Heraklion | Round of 32 | Viktoria Veleva | Clay | 64 64 | W |
| Mar 9, 2026 | W50 Heraklion | Round of 16 | Rositsa Dencheva | Clay | 26 76 24 | L |
| Mar 2, 2026 | W35 Heraklion | Round of 32 | Rositsa Dencheva | Clay | 06 60 36 | L |
| Jan 19, 2026 | W50 Monastir | Round of 32 | Sapfo Sakellaridi | Hard | 16 75 26 | L |
| Dec 1, 2025 | W35 Sharm ElSheikh | Round of 32 | Weronika Ewald | Hard | 06 26 | L |
| Oct 6, 2025 | W35 Santa Margherita di Pula | Round of 32 | Vlada Ekshibarova | Clay | 63 63 | W |
| Oct 6, 2025 | W35 Santa Margherita di Pula | Quarterfinals | Julie Struplova | Clay | 76 64 | W |
| Oct 6, 2025 | W35 Santa Margherita di Pula | Semifinals | Tena Lukas | Clay | 16 64 06 | L |
Katharina Hobgarski is currently ranked #9999 in the WTA singles rankings with 0 points.
Katharina Hobgarski (WTA #9999) has a career win-loss record of 23-15 (60.5% win rate) and has won 0 WTA titles.
Smashrs tracks Katharina'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.
