Varvara Gracheva - Carmen Schultheiss


name
1
2
sets
Varvara Gracheva
Carmen Schultheiss
6
3
6
1
2
0
Live Sports Streaming
Varvara Gracheva vs Carmen Schultheiss Head 2 Head
Varvara Gracheva Matches
Li A.
versus
Gracheva V.
4
6
77
65
6
3
31 Oct 22
Finished
Zhu L.
versus
Gracheva V.
6
1
6
2
26 Oct 22
Finished
Gracheva V.
versus
Pigossi L.
6
4
6
1
26 Oct 22
Finished
Golubić V.
versus
Gracheva V.
77
62
6
3
22 Oct 22
Finished
Konjuh A.
versus
Gracheva V.
5
7
3
6
21 Oct 22
Finished
Carmen Schultheiss Matches
Ponomar L.
versus
Schultheiss C.
02 Jul 20
canceled
Schultheiss C.
versus
Hering K.
3
6
6
4
3
6
01 Jul 20
Finished
Schultheiss C.
versus
Guth M.
01 Jul 20
canceled
Schultheiss C.
versus
Steur J.
4
6
6
4
3
6
30 Jun 20
Finished
Schultheiss C.
versus
Mueller S.
7
5
3
6
1
6
19 Jun 20
Finished

You can follow Varvara Gracheva - Carmen Schultheiss live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Varvara Gracheva vs Carmen Schultheiss live streaming options are also shown on this page. Varvara Gracheva vs Carmen Schultheiss (2019 ITF Tunisia 04A, Women Singles) will kick off at 10:10 on 30 Jan 19.

Varvara Gracheva has won 55% of his last matches and managed to hit an average of 2.35 aces per match, while the double faults stand at 2.75 per match. Varvara Gracheva has won 76.2k € so far in the 2019 season, with a total prize money of 950k € in her entire career.

On the other hand, Carmen Schultheiss has won 30% of his last matches and managed to hit an average of 1.1 aces per match, while the double faults stand at 1.8 per match. Carmen Schultheiss has won Unknown so far in the 2019 season, with a total prize money of 10.4k € in his/her entire career.

The match will be played on hardcourt outdoor courts in Monastir, Singles Qualifying W-ITF-TUN-04A (Tunisia).

Based purely on odds, the predicted winner of the match is Carmen Schultheiss. 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.