Anastasia Pribylova - Fiona Ganz


name
1
2
sets
Anastasia Pribylova
Fiona Ganz
2
6
2
6
0
2
Live Sports Streaming
Anastasia Pribylova vs Fiona Ganz Head 2 Head
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
Fiona Ganz Matches
Ganz F.
versus
Snigur D.
2
6
1
6
24 Nov 22
Finished
Ganz F.
versus
Ma Y.
6
1
6
2
22 Nov 22
Finished
Albié A.
versus
Ganz F.
6
3
6
2
17 Nov 22
Finished
Ganz F.
versus
Wolff V.
7
5
6
2
15 Nov 22
Finished
Ganz F.
versus
Pattinama Kerkhove L.
2
6
5
7
20 Oct 22
Finished

You can follow Anastasia Pribylova - Fiona Ganz live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Anastasia Pribylova vs Fiona Ganz live streaming options are also shown on this page. Anastasia Pribylova vs Fiona Ganz (2019 ITF Egypt 02A, Women Singles) will kick off at 10:10 on 31 Jan 19.

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 her entire career.

On the other hand, Fiona Ganz has won 50% of his last matches and managed to hit an average of 1.8 aces per match, while the double faults stand at 2.85 per match. Fiona Ganz has won 2.7k € so far in the 2019 season, with a total prize money of 19.8k € in his/her entire career.

The match will be played on clay courts in Sharm El Sheikh, Singles Qualifying W-ITF-EGY-02A (Egypt).

Based purely on odds, the predicted winner of the match is Fiona Ganz. 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.