Tereza Mrdeža - Anastasia Pribylova


name
1
2
3
sets
Tereza Mrdeža
Anastasia Pribylova
3
6
6
4
4
6
1
2
Live Sports Streaming
Tereza Mrdeža vs Anastasia Pribylova Head 2 Head
Tereza Mrdeža Matches
Mrdeža T.
versus
Von Deichmann K.
6
1
62
77
3
6
30 Mar 22
Finished
Ponchet J.
versus
Mrdeža T.
29 Mar 22
canceled
Di Giuseppe M.
versus
Mrdeža T.
2
6
1
6
29 Mar 22
Finished
Mrdeža T.
versus
Grabher J.
6
2
2
6
5
7
23 Mar 22
Finished
Mrdeža T.
versus
Kempen M.
64
77
6
1
1
6
04 Mar 22
Finished
Anastasia Pribylova Matches
Middendorf J.
versus
Pribylova A.
6
4
6
1
17 Jul 22
Finished
Pribylova A.
versus
Kempen M.
2
6
6
3
4
6
09 Apr 21
Finished
Pribylova A.
versus
Villarreal A.
6
0
6
4
08 Apr 21
Finished
Pribylova A.
versus
Marfutina M.
1
6
6
1
6
1
06 Apr 21
Finished
Kempen M.
versus
Pribylova A.
6
0
6
3
02 Apr 21
Finished

You can follow Tereza Mrdeža - Anastasia Pribylova live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Tereza Mrdeža vs Anastasia Pribylova live streaming options are also shown on this page. Tereza Mrdeža vs Anastasia Pribylova (2019 ITF Austria 01A, Women Singles) will kick off at 03:25 on 28 Aug 19.

Tereza Mrdeža has won 50% of his last matches and managed to hit an average of 0.1 aces per match, while the double faults stand at 4.6 per match. Tereza Mrdeža has won 17.1k € so far in the 2019 season, with a total prize money of 470k € in her entire career.

On the other hand, Anastasia Pribylova has won 30% of his last matches and managed to hit an average of 1 aces per match, while the double faults stand at 4.3 per match. Anastasia Pribylova has won 2.8k € so far in the 2019 season, with a total prize money of 73.6k € in his/her entire career.

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

Based purely on odds, the predicted winner of the match is Anastasia Pribylova. 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.