WTA Tour
WTA World Ranking - 796 pts
🏹 Frontrunner
Excels when dictating play and building early leads. Gets ahead with aggressive opening sets and uses confidence-driven momentum to close matches before opponents can settle in.
Strong against
Weak against
Age
25
Height
5'7" (170 cm)
Plays
Right-Handed
54
Wins
58
Losses
48.2%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2026 | 2/3 | - | 2/3 | - |
| 2025 | 4/5 | 3/1 | 1/3 | 0/1 |
| 2024 | 1/1 | - | 1/1 | - |
| 2023 | 9/7 | 2/2 | 6/4 | 1/1 |
| 2022 | 17/13 | 9/3 | 6/8 | 2/2 |
| 2021 | 12/13 | 1/3 | 9/9 | 2/1 |
| 2020 | 6/7 | 2/4 | 4/3 | - |
| 2019 | 2/7 | 1/2 | 0/3 | 1/2 |
| 2018 | 1/1 | - | 1/1 | - |
| 2017 | 0/1 | - | 0/1 | - |
| Career | 54/58 | 18/15 | 30/36 | 6/7 |
No serve and return data available yet.
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Feb 23, 2026 | Austin | Round of 32 | Claire Liu | Hard | 64 76 | W |
| Feb 23, 2026 | Austin | Round of 16 | Peyton Stearns | Hard | 06 26 | L |
| Feb 1, 2026 | Cluj-Napoca | Round of 32 | Elena Ruxandra Bertea | Hard | 63 64 | W |
| Feb 1, 2026 | Cluj-Napoca | Round of 16 | Emma Raducanu | Hard | 57 16 | L |
| Jan 19, 2026 | Australian Open | Round of 128 | Elena Rybakina | Hard | 46 36 | L |
| Oct 27, 2025 | Jiujiang | Round of 32 | Claire Liu | Hard | 36 62 75 | W |
| Oct 27, 2025 | Jiujiang | Round of 16 | Alycia Parks | Hard | 61 16 16 | L |
| Oct 20, 2025 | Guangzhou | Round of 32 | Caty Mcnally | Hard | 36 61 36 | L |
| Jul 14, 2025 | Hamburg | Round of 32 | Maria Timofeeva | Clay | 76 61 | W |
| Jul 14, 2025 | Hamburg | Semifinals | Anna Bondar | Clay | 75 36 46 | L |
Kaja Juvan is currently ranked #93 in the WTA singles rankings with 796 points.
Kaja Juvan (WTA #93) has a career win-loss record of 54-58 (48.2% win rate) and has won 0 WTA titles.
Smashrs tracks Kaja'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.
