Audrey Ann Blakely - Elvina Kalieva


name
1
2
sets
Audrey Ann Blakely
Elvina Kalieva
2
6
1
6
0
2
Live Sports Streaming
Audrey Ann Blakely vs Elvina Kalieva Head 2 Head
Audrey Ann Blakely Matches
Daniell A.
versus
Blakely A.
6
2
6
1
22 Jul 19
Finished
Blakely A.
versus
Jones G.
2
6
2
6
18 Jun 19
Finished
Blakely A.
versus
Borovinskaya A.
6
0
6
1
17 Jun 19
Finished
Blakely A.
versus
Carruthers S.
2
6
1
6
11 Jun 19
Finished
Blakely A.
versus
Leduc C.
0
6
2
6
03 Jun 19
Finished
Elvina Kalieva Matches
Kalieva E.
versus
Vickery S.
7
5
3
6
3
6
01 Nov 22
Finished
Kalieva E.
versus
Loeb J.
3
6
7
6
7
6
31 Oct 22
Finished
Kalieva E.
versus
Cadar E.
6
0
6
4
30 Oct 22
Finished
Mertens E.
versus
Kalieva E.
6
2
7
5
25 Oct 22
Finished
Kalieva E.
versus
Gamiz A.
6
3
6
3
23 Oct 22
Finished

You can follow Audrey Ann Blakely - Elvina Kalieva live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Audrey Ann Blakely vs Elvina Kalieva live streaming options are also shown on this page. Audrey Ann Blakely vs Elvina Kalieva (2019 ITF Spain 02A, Women Singles) will kick off at 11:15 on 30 Jan 19.

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

On the other hand, Elvina Kalieva has won 60% of his last matches and managed to hit an average of 1.55 aces per match, while the double faults stand at 3.55 per match. Elvina Kalieva has won 3.5k € so far in the 2019 season, with a total prize money of 51.3k € in his/her entire career.

The match will be played on hardcourt outdoor courts in Manacor (Mallorca), Singles Quali W-WITF-ESP-01A (Spain).

Based purely on odds, the predicted winner of the match is Elvina Kalieva. 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.