WTA Tour
WTA World Ranking - 0 pts
🎾 All-Court
Comfortable at every position on the court - baseline, net, or in transition. Adapts tactics match by match and point by point, making them unpredictable and difficult to game-plan against.
Strong against
Weak against
Age
32
Height
5'8" (173 cm)
Plays
Right-Handed
116
Wins
123
Losses
48.5%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2024 | 0/4 | 0/2 | - | 0/2 |
| 2023 | 5/4 | - | 5/4 | - |
| 2022 | 8/12 | 0/1 | 6/8 | 2/3 |
| 2021 | 15/14 | 0/3 | 13/9 | 2/2 |
| 2020 | 7/10 | 2/3 | 5/7 | - |
| 2019 | 24/19 | 4/4 | 17/12 | 3/3 |
| 2018 | 21/22 | 4/6 | 11/12 | 6/4 |
| 2017 | 9/8 | 2/2 | 7/5 | 0/1 |
| 2016 | 8/13 | - | 8/9 | 0/4 |
| 2015 | 19/17 | 4/4 | 14/11 | 1/2 |
| Career | 116/123 | 16/25 | 86/77 | 14/21 |
No serve and return data available yet.
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Jul 22, 2024 | Prague | Round of 32 | Jana Fett | Clay | 26 26 | L |
| Jul 1, 2024 | Wimbledon | Round of 128 | Yuliia Starodubtseva | Grass | 46 36 | L |
| Jun 10, 2024 | s Hertogenbosch | Round of 32 | Liudmila Samsonova | Grass | 16 36 | L |
| May 27, 2024 | Roland Garros | Round of 128 | Tamara Zidansek | Clay | 26 62 16 | L |
| Feb 6, 2023 | Linz | Round of 16 | Petra Martic | Hard | 46 76 67 | L |
| Feb 6, 2023 | Linz | Round of 32 | Linda Noskova | Hard | 76 62 | W |
| Jan 30, 2023 | Lyon | Round of 16 | Caroline Garcia | Hard | 62 06 16 | L |
| Jan 30, 2023 | Lyon | Round of 32 | Tamara Korpatsch | Hard | 62 64 | W |
| Jan 16, 2023 | Australian Open | Round of 128 | Petra Kvitova | Hard | 67 26 | L |
| Jan 9, 2023 | Hobart | Round of 32 | Magda Linette | Hard | 64 16 64 | W |
Alison Van Uytvanck is currently ranked #9999 in the WTA singles rankings with 0 points.
Alison Van Uytvanck (WTA #9999) has a career win-loss record of 116-123 (48.5% win rate) and has won 0 WTA titles.
Smashrs tracks Alison'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.
