Ksenia Meshcheryakova - Laura Boehner


name
1
2
sets
Ksenia Meshcheryakova
Laura Boehner
1
6
1
6
0
2
Live Sports Streaming
Ksenia Meshcheryakova vs Laura Boehner Head 2 Head
Ksenia Meshcheryakova Matches
Meshcheryakova K.
versus
Dvalishvili L.
2
6
63
77
05 Jun 22
Finished
Meshcheryakova K.
versus
Rasskovskaia L.
3
6
0
6
22 May 22
Finished
Michalitsch A.
versus
Meshcheryakova K.
02 May 22
09:00
Meshcheryakova K.
versus
Hegy Y.
01 May 22
08:00
Spigarelli M.
versus
Meshcheryakova K.
6
0
6
1
25 Apr 22
Finished
Laura Boehner Matches
Iordache A.
versus
Boehner L.
6
4
77
65
21 Jun 22
Finished
Boehner L.
versus
Lazăr Ș.
6
1
6
3
20 Jun 22
Finished
Graovac A.
versus
Boehner L.
5
7
4
6
19 Jun 22
Finished
Jaskova A.
versus
Boehner L.
6
4
6
0
06 Jun 22
Finished
Boehner L.
versus
Maksimovic S.
05 Jun 22
01:30

You can follow Ksenia Meshcheryakova - Laura Boehner live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Ksenia Meshcheryakova vs Laura Boehner live streaming options are also shown on this page. Ksenia Meshcheryakova vs Laura Boehner (2021 ITF Ukraine 01A, Women Singles) will kick off at 07:00 on 18 Jul 21.

Ksenia Meshcheryakova 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. Ksenia Meshcheryakova has won Unknown so far in the 2021 season, with a total prize money of Unknown in her entire career.

On the other hand, Laura Boehner has won 36.84% of his last matches and managed to hit an average of 0 aces per match, while the double faults stand at 0.16 per match. Laura Boehner has won Unknown so far in the 2021 season, with a total prize money of Unknown in his/her entire career.

The match will be played on clay courts in Ivano-frankivsk ().

Based purely on odds, the predicted winner of the match is Laura Boehner. 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.