Viktorija Golubić - Tamara Zidanšek


name
1
2
3
sets
Viktorija Golubić
Tamara Zidanšek
6
4
1
6
2
6
1
2
Live Sports Streaming
Viktorija Golubić vs Tamara Zidanšek Head 2 Head
Viktorija Golubić Matches
Golubić V.
versus
Muchová K.
6
4
6
4
12 Nov 22
Finished
Golubić V.
versus
Andreescu B.
2
6
6
3
6
4
11 Nov 22
Finished
Golubić V.
versus
Zanevska M.
66
78
1
6
23 Oct 22
Finished
Golubić V.
versus
Gracheva V.
77
62
6
3
22 Oct 22
Finished
Bucsa C.
versus
Golubić V.
2
6
3
6
21 Oct 22
Finished
Tamara Zidanšek Matches
Astakhova D.
versus
Zidanšek T.
7
5
3
6
6
4
22 Nov 22
Finished
Zidanšek T.
versus
Astakhova D.
6
2
2
6
3
6
16 Nov 22
Finished
Zidanšek T.
versus
Jang S.
16 Nov 22
canceled
Baindl K.
versus
Zidanšek T.
6
4
4
6
6
1
09 Nov 22
Finished
Tan H.
versus
Zidanšek T.
2
6
6
3
3
6
07 Nov 22
Finished

You can follow Viktorija Golubić - Tamara Zidanšek live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Viktorija Golubić vs Tamara Zidanšek live streaming options are also shown on this page. Viktorija Golubić vs Tamara Zidanšek (2019 WTA Hua Hin, Thailand Women Singles) will kick off at 10:45 on 01 Feb 19.

Viktorija Golubić has won 35% of his last matches and managed to hit an average of 0.55 aces per match, while the double faults stand at 2.2 per match. Viktorija Golubić has won 83k € so far in the 2019 season, with a total prize money of 2.2M € in her entire career.

On the other hand, Tamara Zidanšek has won 50% of his last matches and managed to hit an average of 1.33 aces per match, while the double faults stand at 3.83 per match. Tamara Zidanšek has won 168.4k € so far in the 2019 season, with a total prize money of 1.8M € in his/her entire career.

The match will be played on hardcourt outdoor courts in Hua Hin ().

Based purely on odds, the predicted winner of the match is Tamara Zidanšek. 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.