Ekaterina Shalimova - Kaja Juvan


name
1
2
sets
Ekaterina Shalimova
Kaja Juvan
3
6
2
6
0
2
Live Sports Streaming
Ekaterina Shalimova vs Kaja Juvan Head 2 Head
Ekaterina Shalimova Matches
Shalimova E.
versus
Leonard M.
6
3
4
6
64
77
31 Jan 23
Finished
Hosogi S.
versus
Shalimova E.
6
0
6
2
26 Jan 23
Finished
Shalimova E.
versus
Betova M.
6
2
4
6
6
4
24 Jan 23
Finished
Shalimova E.
versus
Kan V.
0
6
6
2
3
6
18 Jan 23
Finished
Kužmova K.
versus
Shalimova E.
6
4
4
6
6
4
02 Dec 22
Finished
Kaja Juvan Matches
Masarova R.
versus
Juvan K.
6
4
6
7
6
3
29 Jan 23
Finished
Friedsam A.
versus
Juvan K.
6
4
4
6
2
6
28 Jan 23
Finished
Rybakina E.
versus
Juvan K.
6
2
6
1
18 Jan 23
Finished
Juvan K.
versus
Janicijevic S.
7
5
6
1
16 Jan 23
Finished
Martincová T.
versus
Juvan K.
6
0
6
2
08 Jan 23
Finished

You can follow Ekaterina Shalimova - Kaja Juvan live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Ekaterina Shalimova vs Kaja Juvan live streaming options are also shown on this page. Ekaterina Shalimova vs Kaja Juvan (2022 WTA St. Petersburg, Russia Women Singles) will kick off at 09:20 on 06 Feb 22.

Ekaterina Shalimova has won 55% of his last matches and managed to hit an average of 1.2 aces per match, while the double faults stand at 2 per match. Ekaterina Shalimova has won 9.4k € so far in the 2022 season, with a total prize money of 29k € in her entire career.

On the other hand, Kaja Juvan has won 55% of his last matches and managed to hit an average of 2.2 aces per match, while the double faults stand at 1.05 per match. Kaja Juvan has won 104.9k € so far in the 2022 season, with a total prize money of 1M € in his/her entire career.

The match will be played on hardcourt outdoor courts in St. Petersburg (Russia).

Based purely on odds, the predicted winner of the match is Kaja Juvan. Our predictions should not be used for betting or gambling on sports and scoreaxis.com accepts no responsibility or liability for any (direct or indirect) financial or other loss that may result from using our statistical data, predictions or any other content present on this website.