WTA Tour
WTA World Ranking - 0 pts
⚙️ Grinder
Wears opponents down with relentless consistency and deep margins. Doesn't flash the most winners but rarely misses, extending rallies until the opponent cracks under pressure.
Strong against
Weak against
Age
40
Height
5'5" (164 cm)
Plays
Right-Handed
158
Wins
134
Losses
54.1%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2023 | 2/7 | 1/2 | 0/2 | 1/3 |
| 2021 | 0/2 | - | 0/2 | - |
| 2020 | 5/9 | 2/3 | 3/6 | - |
| 2019 | 18/18 | 6/5 | 4/11 | 8/2 |
| 2018 | 26/24 | 3/5 | 18/16 | 5/3 |
| 2017 | 39/25 | 6/5 | 28/17 | 5/3 |
| 2016 | 39/23 | 8/4 | 25/17 | 6/2 |
| 2015 | 29/26 | 6/6 | 20/17 | 3/3 |
| Career | 158/134 | 32/30 | 98/88 | 28/16 |
No serve and return data available yet.
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Aug 28, 2023 | Us Open | Round of 128 | Kaia Kanepi | Hard | 46 46 | L |
| Jul 31, 2023 | Prague | Round of 32 | Ankita Raina | Hard | 63 36 46 | L |
| Jul 3, 2023 | Wimbledon | Round of 128 | Maryna Zanevska | Grass | 61 75 | W |
| Jul 3, 2023 | Wimbledon | Round of 64 | Magda Linette | Grass | 46 76 36 | L |
| Jun 26, 2023 | Eastbourne | Round of 32 | Jelena Ostapenko | Grass | 46 36 | L |
| Jun 19, 2023 | Birmingham | Round of 32 | Magdalena Frech | Grass | 67 16 | L |
| May 8, 2023 | Rome | Round of 128 | Maryna Zanevska | Clay | 61 36 63 | W |
| May 8, 2023 | Rome | Round of 64 | Maria Sakkari | Clay | 16 36 | L |
| Apr 24, 2023 | Madrid | Round of 128 | Elisabetta Cocciaretto | Clay | 36 67 | L |
| Feb 8, 2021 | Australian Open | Round of 128 | Svetlana Kuznetsova | Hard | 26 26 | L |
Barbora Strycova is currently ranked #9999 in the WTA singles rankings with 0 points.
Barbora Strycova (WTA #9999) has a career win-loss record of 158-134 (54.1% win rate) and has won 0 WTA titles.
Smashrs tracks Barbora'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.
