Timea Jaruskova - Anastasiya Shoshyna


name
1
2
sets
Timea Jaruskova
Anastasiya Shoshyna
4
6
3
6
0
2
Live Sports Streaming
Timea Jaruskova vs Anastasiya Shoshyna Head 2 Head
Timea Jaruskova Matches
Zantedeschi A.
versus
Jaruskova T.
6
1
5
7
6
1
14 Jun 22
Finished
Jaruskova T.
versus
Daubnerova N.
2
6
6
2
8
10
13 Jun 22
Finished
Jaruskova T.
versus
Mihokova P.
6
1
6
1
12 Jun 22
Finished
Jaruskova T.
versus
Bayerlová M.
3
6
3
6
05 Jun 22
Finished
Petretic L.
versus
Jaruskova T.
5
7
6
1
7
6
02 Jun 22
Finished
Anastasiya Shoshyna Matches
Radanović D.
versus
Shoshyna A.
6
1
6
3
26 Oct 20
Finished
Isaeva A.
versus
Shoshyna A.
2
6
5
7
25 Oct 20
Finished
Shoshyna A.
versus
Zheng Q.
3
6
2
6
15 Sep 20
Finished
Shoshyna A.
versus
Seibold E.
6
4
5
7
10
6
14 Sep 20
Finished
Shoshyna A.
versus
Kostenko L.
6
1
6
0
13 Sep 20
Finished

You can follow Timea Jaruskova - Anastasiya Shoshyna live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Timea Jaruskova vs Anastasiya Shoshyna live streaming options are also shown on this page. Timea Jaruskova vs Anastasiya Shoshyna () will kick off at 10:30 on 06 Sep 20.

Timea Jaruskova has won 50% of his last matches and managed to hit an average of 0.45 aces per match, while the double faults stand at 1.5 per match. Timea Jaruskova has won 2k € so far in the season, with a total prize money of 12.4k € in her entire career.

On the other hand, Anastasiya Shoshyna has won 85% of his last matches and managed to hit an average of 2.25 aces per match, while the double faults stand at 1.5 per match. Anastasiya Shoshyna has won Unknown so far in the season, with a total prize money of 47k € in his/her entire career.

The match will be played on carpet indoor courts in Milovice ().

Based purely on odds, the predicted winner of the match is Anastasiya Shoshyna. 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.