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ITF WomenBrno

Monika Stanikova - Cindy Burger

name
1
2
sets
Monika Stanikova
Cindy Burger
1
6
1
6
0
2
Live Sports Streaming
0
Aces
0
8
Double Faults
1
10/18 (56%)
Second Serve
16/17 (94%)
24/42 (57%)
First Serve
24/41 (59%)
10/24 (42%)
First Serve Points
20/24 (83%)
4/18 (22%)
Second Serve Points
8/17 (47%)
13
Receiver points won
28
6
Max points in a row
11
27
Points won
56
1/2 (50%)
Break points
6/7 (86%)
Monika Stanikova vs Cindy Burger Head 2 Head
Monika Stanikova Matches
Stanikova M.
versus
Kimchi S.
0
6
1
6
26 Sep 22
Finished
Stanikova M.
versus
Burger C.
1
6
1
6
28 Aug 19
Finished
Cindy Burger Matches
Burger C.
versus
Tran D.
27 Jun 21
Walkover
Burger C.
versus
Szabanin N.
4
6
4
6
24 Jun 21
Finished
Burger C.
versus
Kraus S.
77
61
6
1
23 Jun 21
Finished
Șerban R.
versus
Burger C.
6
3
6
1
18 Sep 20
Finished
Burger C.
versus
Malečková J.
77
61
7
5
17 Sep 20
Finished

You can follow Monika Stanikova - Cindy Burger live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Monika Stanikova vs Cindy Burger live streaming options are also shown on this page. Monika Stanikova vs Cindy Burger (2019 ITF Czech Republic 08A, Women Singles) will kick off at 11:40 on 28 Aug 19.

Monika Stanikova 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. Monika Stanikova has won Unknown so far in the 2019 season, with a total prize money of Unknown in her entire career.

On the other hand, Cindy Burger has won 73.68% of his last matches and managed to hit an average of 2.11 aces per match, while the double faults stand at 4.37 per match. Cindy Burger has won Unknown so far in the 2019 season, with a total prize money of 191.2k € in his/her entire career.

The match will be played on hardcourt indoor courts in Brno ().

Based purely on odds, the predicted winner of the match is Cindy Burger. 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.