Tea Pavlicic - Elena Giovanna Giessler


name
1
2
3
sets
Tea Pavlicic
Elena Giovanna Giessler
4
6
6
2
11
9
2
1
Live Sports Streaming
Tea Pavlicic vs Elena Giovanna Giessler Head 2 Head
Tea Pavlicic Matches
Pavlicic T.
versus
Lopez Alcaraz E.
2022 Feb 08
08:30:00
Chudejova M.
versus
Pavlicic T.
4
6
6
2
8
10
07 Feb 22
Finished
Pavlicic T.
versus
Giessler E.
4
6
6
2
11
9
06 Feb 22
Finished
Fita Boluda A.
versus
Pavlicic T.
6
0
6
1
23 Jan 22
Finished
Krasnova D.
versus
Pavlicic T.
7
5
6
0
07 Feb 21
Finished
Elena Giovanna Giessler Matches
Giessler E.
versus
Hodžić M.
0
6
0
6
16 May 22
Finished
Giessler E.
versus
Truong T.
3
6
6
2
10
5
15 May 22
Finished
Sewing S.
versus
Giessler E.
6
2
6
1
02 May 22
Finished
Rain Contreras F.
versus
Giessler E.
1
6
6
7
01 May 22
Finished
Pavlicic T.
versus
Giessler E.
4
6
6
2
11
9
06 Feb 22
Finished

You can follow Tea Pavlicic - Elena Giovanna Giessler live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Tea Pavlicic vs Elena Giovanna Giessler live streaming options are also shown on this page. Tea Pavlicic vs Elena Giovanna Giessler () will kick off at 12:30 on 06 Feb 22.

Tea Pavlicic has won 0% of his last matches and managed to hit an average of 0 aces per match, while the double faults stand at 0 per match. Tea Pavlicic has won Unknown so far in the season, with a total prize money of Unknown in her entire career.

On the other hand, Elena Giovanna Giessler has won 0% of his last matches and managed to hit an average of 0 aces per match, while the double faults stand at 0 per match. Elena Giovanna Giessler has won Unknown so far in the season, with a total prize money of Unknown in his/her entire career.

The match will be played on hardcourt outdoor courts in Khimki, Doubles ().

Based purely on odds, the predicted winner of the match is Elena Giovanna Giessler. 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.