Ivana Sebestova - Aleksandra Pitak


name
1
2
sets
Ivana Sebestova
Aleksandra Pitak
6
0
6
2
2
0
Live Sports Streaming
Ivana Sebestova vs Aleksandra Pitak Head 2 Head
Ivana Sebestova Matches
Meri E.
versus
Sebestova I.
30 Nov 22
09:00
Valente D.
versus
Sebestova I.
6
3
2
6
77
62
19 Nov 22
Finished
Pedone G.
versus
Sebestova I.
2
6
1
6
18 Nov 22
Finished
Platenikova E.
versus
Sebestova I.
4
6
3
6
17 Nov 22
Finished
Patti G.
versus
Sebestova I.
2
6
1
6
15 Nov 22
Finished
Aleksandra Pitak Matches
Zheng Q.
versus
Pitak A.
6
2
6
1
21 Sep 20
Finished
Petruzelova L.
versus
Pitak A.
6
1
4
6
10
6
13 Sep 20
Finished
Pitak A.
versus
Seibold E.
0
6
0
6
06 Sep 20
Finished
Pitak A.
versus
Daley D.
63
77
7
5
10
12
23 Feb 20
Finished
Dunne K.
versus
Pitak A.
6
2
6
0
16 Feb 20
Finished

You can follow Ivana Sebestova - Aleksandra Pitak live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Ivana Sebestova vs Aleksandra Pitak live streaming options are also shown on this page. Ivana Sebestova vs Aleksandra Pitak (2019 ITF Egypt 02A, Women Singles) will kick off at 09:40 on 30 Jan 19.

Ivana Sebestova has won 40% of his last matches and managed to hit an average of 0.4 aces per match, while the double faults stand at 1.9 per match. Ivana Sebestova has won 1.1k € so far in the 2019 season, with a total prize money of 4.9k € in her entire career.

On the other hand, Aleksandra Pitak has won 40% of his last matches and managed to hit an average of 0.7 aces per match, while the double faults stand at 2.9 per match. Aleksandra Pitak has won Unknown so far in the 2019 season, with a total prize money of 14.9k € 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 Aleksandra Pitak. 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.