Nefisa Berberović - Laura Svatikova


name
1
2
sets
Nefisa Berberović
Laura Svatikova
2
6
5
7
0
2
Live Sports Streaming
Nefisa Berberović vs Laura Svatikova Head 2 Head
Nefisa Berberović Matches
Berberović N.
versus
Alves C.
23 Mar 23
03:00
Ambrosio S.
versus
Berberović N.
22 Mar 23
05:30
Rus A.
versus
Berberović N.
6
0
77
61
17 Mar 23
Finished
Berberović N.
versus
Brancaccio N.
2
6
7
5
6
4
16 Mar 23
Finished
Berberović N.
versus
Lene E.
6
3
6
3
14 Mar 23
Finished
Laura Svatikova Matches
Kupres M.
versus
Svatikova L.
7
5
6
2
06 Dec 22
Finished
Senic N.
versus
Svatikova L.
6
2
6
3
30 Nov 22
Finished
Demidova D.
versus
Svatikova L.
77
65
3
6
6
4
22 Nov 22
Finished
Svatikova L.
versus
Falkner Z.
3
6
2
6
16 Nov 22
Finished
Daubnerova N.
versus
Svatikova L.
6
2
6
4
02 Nov 22
Finished

You can follow Nefisa Berberović - Laura Svatikova live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Nefisa Berberović vs Laura Svatikova live streaming options are also shown on this page. Nefisa Berberović vs Laura Svatikova (2019 ITF Serbia 03A, Women Singles) will kick off at 12:30 on 28 Aug 19.

Nefisa Berberović has won 75% of his last matches and managed to hit an average of 1.95 aces per match, while the double faults stand at 2.1 per match. Nefisa Berberović has won 6.5k € so far in the 2019 season, with a total prize money of 41.3k € in her entire career.

On the other hand, Laura Svatikova has won 40% of his last matches and managed to hit an average of 0.1 aces per match, while the double faults stand at 0.95 per match. Laura Svatikova has won 151 € so far in the 2019 season, with a total prize money of 12.4k € in his/her entire career.

The match will be played on clay courts in ITF Serbia 03A, Women Singles ().

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