Kseniya Yersh - Ekaterina Nikiforova


name
1
2
sets
Kseniya Yersh
Ekaterina Nikiforova
4
6
2
6
0
2
Live Sports Streaming
Kseniya Yersh vs Ekaterina Nikiforova Head 2 Head
Kseniya Yersh Matches
Yersh K.
versus
van de Peer V.
3
6
1
6
04 Aug 22
Finished
Yersh K.
versus
Ahti V.
6
3
6
2
03 Aug 22
Finished
Falei A.
versus
Yersh K.
6
2
7
5
30 May 22
Finished
Dolidze L.
versus
Yersh K.
1
6
6
0
7
10
29 May 22
Finished
Yersh K.
versus
Falei A.
5
7
2
6
24 May 22
Finished
Ekaterina Nikiforova Matches
Tkacheva M.
versus
Nikiforova E.
6
3
3
0
11 Jul 22
Finished
Maklakova E.
versus
Nikiforova E.
6
4
6
4
28 Apr 22
Finished
Nikiforova E.
versus
Kuparev A.
6
1
6
4
27 Apr 22
Finished
Khomutsianskaya D.
versus
Nikiforova E.
7
5
77
6
20 Apr 22
Finished
Nikiforova E.
versus
Timofeeva M.
2
6
4
6
22 Feb 22
Finished

You can follow Kseniya Yersh - Ekaterina Nikiforova live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Kseniya Yersh vs Ekaterina Nikiforova live streaming options are also shown on this page. Kseniya Yersh vs Ekaterina Nikiforova (2019 ITF Kazakhstan 06A, Women Singles) will kick off at 04:30 on 27 Aug 19.

Kseniya Yersh has won 45% of his last matches and managed to hit an average of 0.85 aces per match, while the double faults stand at 0.8 per match. Kseniya Yersh has won Unknown so far in the 2019 season, with a total prize money of 4.5k € in her entire career.

On the other hand, Ekaterina Nikiforova has won 50% of his last matches and managed to hit an average of 2.3 aces per match, while the double faults stand at 3.5 per match. Ekaterina Nikiforova has won 164 € so far in the 2019 season, with a total prize money of 1.8k € in his/her entire career.

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

Based purely on odds, the predicted winner of the match is Ekaterina Nikiforova. 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.