Elizabet Hamaliy - Ylena In-Albon


name
1
2
sets
Elizabet Hamaliy
Ylena In-Albon
3
6
3
6
0
2
Live Sports Streaming
Elizabet Hamaliy vs Ylena In-Albon Head 2 Head
Elizabet Hamaliy Matches
Hosogi S.
versus
Hamaliy E.
6
1
6
2
17 May 22
Finished
Jorge F.
versus
Hamaliy E.
6
4
6
2
11 May 22
Finished
Hamaliy E.
versus
Gubertini A.
6
0
6
3
10 May 22
Finished
Hamaliy E.
versus
Pfeifer L.
2
6
5
7
02 May 22
Finished
Gatto-Monticone G.
versus
Hamaliy E.
6
0
6
1
15 Feb 22
Finished
Ylena In-Albon Matches
In-Albon Y.
versus
Paquet C.
13 Jun 22
08:00
In-Albon Y.
versus
Fita Boluda A.
610
712
5
7
03 Jun 22
Finished
In-Albon Y.
versus
Vikhlyantseva N.
6
2
6
3
02 Jun 22
Finished
In-Albon Y.
versus
Ramé A.
6
3
7
5
01 Jun 22
Finished
In-Albon Y.
versus
Cocciaretto E.
2
6
2
6
29 May 22
Finished

You can follow Elizabet Hamaliy - Ylena In-Albon live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Elizabet Hamaliy vs Ylena In-Albon live streaming options are also shown on this page. Elizabet Hamaliy vs Ylena In-Albon (2020 ITF Portugal 09A, Women Singles) will kick off at 01:30 on 06 Sep 20.

Elizabet Hamaliy has won 20% of his last matches and managed to hit an average of 0.7 aces per match, while the double faults stand at 5.45 per match. Elizabet Hamaliy has won 2.4k € so far in the 2020 season, with a total prize money of 6.1k € in her entire career.

On the other hand, Ylena In-Albon has won 50% of his last matches and managed to hit an average of 1.85 aces per match, while the double faults stand at 1.95 per match. Ylena In-Albon has won 17.8k € so far in the 2020 season, with a total prize money of 136.1k € in his/her entire career.

The match will be played on hardcourt outdoor courts in ITF Portugal 09A, Women Singles (Portugal).

Based purely on odds, the predicted winner of the match is Ylena In-Albon. 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.