Laura Ioana Paar / Julia Wachaczyk - Vivian Heisen / Emily Webley-Smith

Match odds
1
1.46
2.64
2

name
1
2
sets
Laura Ioana Paar / Julia Wachaczyk
Vivian Heisen / Emily Webley-Smith
6
4
7
5
2
0
Live Sports Streaming
Laura Ioana Paar / Julia Wachaczyk vs Vivian Heisen / Emily Webley-Smith Head 2 Head
Laura Ioana Paar / Julia Wachaczyk Matches
Kalashnikova O / Kudryavtseva A
versus
Paar L / Wachaczyk J
6
2
6
4
17 Mar 21
Finished
Kuzmova V / Rus A
versus
Paar L / Wachaczyk J
6
4
6
4
04 Mar 21
Finished
Gasparyan M / Lister C
versus
Paar L / Wachaczyk J
4
6
2
6
03 Mar 21
Finished
Paar L / Wachaczyk J
versus
Hartono A / Miyazaki Y L
4
6
6
1
6
10
10 Feb 21
Finished
Paar L / Wachaczyk J
versus
LU J J / You X
4
6
2
6
29 Jan 21
Finished
Vivian Heisen / Emily Webley-Smith Matches
Marino R / Naito Y
versus
Heisen V / Webley-Smith E
6
3
6
2
09 Apr 21
Finished
Heisen V / Webley-Smith E
versus
Shinikova I / Silva E
6
2
6
3
08 Apr 21
Finished
Choi J-H / Han N-L
versus
Heisen V / Webley-Smith E
63
77
3
6
07 Apr 21
Finished
Riske A / Tomljanovic A
versus
Heisen V / Webley-Smith E
6
2
6
3
30 Sep 20
Finished
Lechemia E / Neel I
versus
Heisen V / Webley-Smith E
6
4
6
2
08 Sep 20
Finished

You can follow Laura Ioana Paar / Julia Wachaczyk - Vivian Heisen / Emily Webley-Smith live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Laura Ioana Paar / Julia Wachaczyk vs Vivian Heisen / Emily Webley-Smith live streaming options are also shown on this page. Laura Ioana Paar / Julia Wachaczyk vs Vivian Heisen / Emily Webley-Smith (2020 WTA 125K Prague, Czech Republic Women Double) will kick off at 10:40 on 01 Sep 20.

The match will be played on courts in Prague, Czech Republic, Doubles ().

Based purely on odds, the predicted winner of the match is Laura Ioana Paar / Julia Wachaczyk. 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.