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ITF WomenTucepi

Margarita Lazareva - Urszula Nebelska

name
1
2
3
sets
Margarita Lazareva
Urszula Nebelska
3
6
6
4
6
2
2
1
Live Sports Streaming
Margarita Lazareva vs Urszula Nebelska Head 2 Head
Margarita Lazareva Matches
Žaja A.
versus
Lazareva M.
6
0
6
0
01 Mar 21
Finished
Lazareva M.
versus
Cabrer P.
6
3
6
1
28 Feb 21
Finished
Reyngold E.
versus
Lazareva M.
6
2
6
3
11 Mar 20
Finished
Garkusha E.
versus
Lazareva M.
6
3
77
64
24 Feb 20
Finished
Dražić M.
versus
Lazareva M.
6
2
6
0
18 Feb 20
Finished
Urszula Nebelska Matches
Makoric M.
versus
Nebelska U.
6
0
6
0
22 May 22
Finished
Baltic E.
versus
Nebelska U.
6
2
6
3
01 May 22
Finished
Nebelska U.
versus
Ganz F.
0
6
1
6
11 Apr 22
Finished
Nebelska U.
versus
Yersh K.
0
6
1
6
28 Nov 21
Finished
Nebelska U.
versus
Ugrelidze N.
0
6
1
6
21 Nov 21
Finished

You can follow Margarita Lazareva - Urszula Nebelska live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Margarita Lazareva vs Urszula Nebelska live streaming options are also shown on this page. Margarita Lazareva vs Urszula Nebelska (2019 ITF Georgia 02A, Women Singles) will kick off at 07:45 on 28 Aug 19.

Margarita Lazareva has won 20% of his last matches and managed to hit an average of 0 aces per match, while the double faults stand at 1.5 per match. Margarita Lazareva has won 42 € so far in the 2019 season, with a total prize money of 104.2k € in her entire career.

On the other hand, Urszula Nebelska has won 5% of his last matches and managed to hit an average of 0.15 aces per match, while the double faults stand at 0.65 per match. Urszula Nebelska has won Unknown so far in the 2019 season, with a total prize money of Unknown in his/her entire career.

The match will be played on clay courts in Tucepi ().

Based purely on odds, the predicted winner of the match is Urszula Nebelska. 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.