ScoreAxis Logo
Yesterday matchesTommorow matches
ITF WomenAlmaty

Mariya Sinitsyna - Ksenia Palkina

name
1
2
sets
Mariya Sinitsyna
Ksenia Palkina
1
6
2
6
0
2
Live Sports Streaming
Mariya Sinitsyna vs Ksenia Palkina Head 2 Head
Mariya Sinitsyna Matches
Barkova T.
versus
Sinitsyna M.
6
2
6
1
27 Feb 23
Finished
Danisova N.
versus
Sinitsyna M.
7
6
6
2
29 Jan 23
Finished
Hazes S.
versus
Sinitsyna M.
6
0
6
0
04 Dec 22
Finished
Sinitsyna M.
versus
Tsyurpalevych A.
2
6
1
6
27 Nov 22
Finished
Heinzova I.
versus
Sinitsyna M.
2
6
6
3
10
3
06 Nov 22
Finished
Ksenia Palkina Matches
Brouleau L.
versus
Palkina K.
6
1
6
2
24 Sep 19
Finished
Wargnier L.
versus
Palkina K.
6
2
6
4
16 Sep 19
Finished
Palkina K.
versus
Escauriza L.
4
6
2
6
09 Sep 19
Finished
Palkina K.
versus
Welker E.
6
2
6
2
08 Sep 19
Finished
Zuger J.
versus
Palkina K.
4
6
6
0
6
4
04 Sep 19
Finished

You can follow Mariya Sinitsyna - Ksenia Palkina live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Mariya Sinitsyna vs Ksenia Palkina live streaming options are also shown on this page. Mariya Sinitsyna vs Ksenia Palkina (2019 ITF Kazakhstan 06A, Women Singles) will kick off at 07:55 on 28 Aug 19.

Mariya Sinitsyna has won 0% of his last matches and managed to hit an average of 0 aces per match, while the double faults stand at 0 per match. Mariya Sinitsyna has won Unknown so far in the 2019 season, with a total prize money of Unknown in her entire career.

On the other hand, Ksenia Palkina has won 45% of his last matches and managed to hit an average of 0.05 aces per match, while the double faults stand at 0.45 per match. Ksenia Palkina has won Unknown so far in the 2019 season, with a total prize money of 184.3k € in his/her entire career.

The match will be played on clay courts in Almaty ().

Based purely on odds, the predicted winner of the match is Ksenia Palkina. 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.