Teimuraz Gabashvili - Johan Nikles


name
1
2
sets
Teimuraz Gabashvili
Johan Nikles
4
6
0
6
0
2
Live Sports Streaming
Teimuraz Gabashvili vs Johan Nikles Head 2 Head
Teimuraz Gabashvili Matches
Đurasović V.
versus
Gabashvili T.
6
4
3
6
6
3
06 Nov 21
Finished
Zuk K.
versus
Gabashvili T.
5
7
7
6
6
3
11 Oct 21
Finished
Gabashvili T.
versus
Kuzmanov D.
2
6
0
6
08 Oct 21
Finished
Borges N.
versus
Gabashvili T.
6
7
5
7
07 Oct 21
Finished
Sanchez-Izquierdo N.
versus
Gabashvili T.
5
7
2
6
05 Oct 21
Finished
Johan Nikles Matches
Nikles J.
versus
Butvilas E.
6
3
6
7
1
6
17 Oct 22
Finished
Nikles J.
versus
Sanchez Izquierdo N.
2
6
6
1
1
6
08 Oct 22
Finished
Nikles J.
versus
Bertola R.
4
6
25 Sep 22
Finished
Džumhur D.
versus
Nikles J.
6
4
6
3
22 Sep 22
Finished
Wehnelt K.
versus
Nikles J.
4
6
5
7
20 Sep 22
Finished

You can follow Teimuraz Gabashvili - Johan Nikles live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Teimuraz Gabashvili vs Johan Nikles live streaming options are also shown on this page. Teimuraz Gabashvili vs Johan Nikles (2019 ITF Spain F4, Men Singles) will kick off at 10:55 on 31 Jan 19.

Teimuraz Gabashvili has won 40% of his last matches and managed to hit an average of 0.8 aces per match, while the double faults stand at 1.25 per match. Teimuraz Gabashvili has won Unknown so far in the 2019 season, with a total prize money of 3.5M € in his entire career.

On the other hand, Johan Nikles has won 55% of his last matches and managed to hit an average of 0.75 aces per match, while the double faults stand at 1.75 per match. Johan Nikles has won 108 € so far in the 2019 season, with a total prize money of 85.3k € in his/her entire career.

The match will be played on clay courts in Palmanova, Singles Qualifying M-ITF-ESP-04A (Spain).

Based purely on odds, the predicted winner of the match is Johan Nikles. 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.