ScoreAxis Logo
Yesterday matchesTommorow matches
ITF WomenRoehampton

Sadaf Tolibova - Maia Lumsden

name
1
2
sets
Sadaf Tolibova
Maia Lumsden
66
78
2
6
0
2
Live Sports Streaming
Sadaf Tolibova vs Maia Lumsden Head 2 Head
Sadaf Tolibova Matches
Čurović T.
versus
Tolibova S.
6
4
6
0
05 Nov 19
Finished
Lovric P.
versus
Tolibova S.
2
6
6
2
6
2
08 Oct 19
Finished
Tolibova S.
versus
Lavino I.
6
1
0
6
1
6
03 Oct 19
Finished
Tolibova S.
versus
Mettraux M.
6
4
6
1
02 Oct 19
Finished
Tolibova S.
versus
Colmegna M.
2
6
0
6
27 Sep 19
Finished
Maia Lumsden Matches
Barkova T.
versus
Lumsden M.
6
2
6
1
20 Mar 23
Finished
Vojcinakova I.
versus
Lumsden M.
3
6
1
6
19 Mar 23
Finished
Lumsden M.
versus
Lansere S.
2
6
2
6
15 Mar 23
Finished
Erjavec V.
versus
Lumsden M.
1
6
5
7
13 Mar 23
Finished
Lumsden M.
versus
Ghioroaie Y.
6
4
6
1
12 Mar 23
Finished

You can follow Sadaf Tolibova - Maia Lumsden live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Sadaf Tolibova vs Maia Lumsden live streaming options are also shown on this page. Sadaf Tolibova vs Maia Lumsden (2019 ITF Israel 06A, Women Singles) will kick off at 09:15 on 27 Aug 19.

Sadaf Tolibova has won 40% of his last matches and managed to hit an average of 0 aces per match, while the double faults stand at 0.9 per match. Sadaf Tolibova has won Unknown so far in the 2019 season, with a total prize money of 29.6k € in her entire career.

On the other hand, Maia Lumsden has won 60% of his last matches and managed to hit an average of 1.45 aces per match, while the double faults stand at 4.1 per match. Maia Lumsden has won Unknown so far in the 2019 season, with a total prize money of 67k € in his/her entire career.

The match will be played on hardcourt outdoor courts in Roehampton ().

Based purely on odds, the predicted winner of the match is Maia Lumsden. 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.