Jana Čepelová / Sara Errani - Dalma Gálfi / Kimberley Zimmermann

Match odds
1
1.59
2.27
2

name
1
2
3
sets
Jana Čepelová / Sara Errani
Dalma Gálfi / Kimberley Zimmermann
6
4
1
6
10
12
1
2
Live Sports Streaming
0
Aces
4
0
Double Faults
2
16/16 (100%)
Second Serve
22/24 (92%)
37/53 (70%)
First Serve
41/65 (63%)
19/37 (51%)
First Serve Points
28/41 (68%)
7/16 (44%)
Second Serve Points
10/24 (42%)
27
Receiver points won
27
7
Max points in a row
8
53
Points won
65
3/6 (50%)
Break points
4/5 (80%)
Jana Čepelová / Sara Errani vs Dalma Gálfi / Kimberley Zimmermann Head 2 Head
Jana Čepelová / Sara Errani Matches
Cepelova J / Errani S
versus
Galfi D / Zimmermann K
6
4
1
6
10
12
02 Sep 20
Finished
Jakupovic D / Savinykh V
versus
Cepelova J / Errani S
2
6
3
6
31 Aug 20
Finished
Dalma Gálfi / Kimberley Zimmermann Matches
Danilina A / Eikeri U
versus
Galfi D / Zimmermann K
6
0
1
6
10
4
11 Jul 21
Finished
Albie A / Jeanjean L
versus
Galfi D / Zimmermann K
4
6
5
7
08 Jul 21
Finished
Selekhmeteva O / Strakhova V
versus
Galfi D / Zimmermann K
3
6
1
6
07 Jul 21
Finished
Schmiedlova A K / Zavatska K
versus
Galfi D / Zimmermann K
77
65
4
6
10
5
08 Jun 21
Finished
Di Sarra F / Rosatello C
versus
Galfi D / Zimmermann K
6
4
3
6
12
10
25 Feb 21
Finished

You can follow Jana Čepelová / Sara Errani - Dalma Gálfi / Kimberley Zimmermann live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Jana Čepelová / Sara Errani vs Dalma Gálfi / Kimberley Zimmermann live streaming options are also shown on this page. Jana Čepelová / Sara Errani vs Dalma Gálfi / Kimberley Zimmermann (2020 WTA 125K Prague, Czech Republic Women Double) will kick off at 01:45 on 02 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 Jana Čepelová / Sara Errani. 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.