Javier Molino - Robertas Vrzesinski


name
1
2
sets
Javier Molino
Robertas Vrzesinski
6
3
6
3
2
0
Live Sports Streaming
Javier Molino vs Robertas Vrzesinski Head 2 Head
Javier Molino Matches
Molino J.
versus
McCabe J.
3
6
2
6
16 Jun 22
Finished
Molino J.
versus
Blanch D.
5
7
78
66
6
2
15 Jun 22
Finished
Roveri Sidney G.
versus
Molino J.
5
7
7
5
5
10
14 Jun 22
Finished
Frances Tessari E.
versus
Molino J.
3
6
0
6
13 Jun 22
Finished
Molino J.
versus
Vanshelboim E.
2
6
2
6
08 Jun 22
Finished
Robertas Vrzesinski Matches
Vrzesinski R.
versus
Butler S.
06 Mar 22
11:30
Mora Clement R.
versus
Vrzesinski R.
27 Feb 22
01:00
Gentzsch T.
versus
Vrzesinski R.
6
1
6
2
27 Oct 21
Finished
Aboian V.
versus
Vrzesinski R.
6
1
6
2
13 Sep 21
Finished
Vrzesinski R.
versus
Gabr A.
6
1
6
3
12 Sep 21
Finished

You can follow Javier Molino - Robertas Vrzesinski live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Javier Molino vs Robertas Vrzesinski live streaming options are also shown on this page. Javier Molino vs Robertas Vrzesinski (2021 ITF Spain F17, Men Singles) will kick off at 08:00 on 18 Jul 21.

Javier Molino has won 50% of his last matches and managed to hit an average of 0.2 aces per match, while the double faults stand at 0.25 per match. Javier Molino has won 358 € so far in the 2021 season, with a total prize money of 1k € in his entire career.

On the other hand, Robertas Vrzesinski has won 50% of his last matches and managed to hit an average of 0.15 aces per match, while the double faults stand at 0.7 per match. Robertas Vrzesinski has won Unknown so far in the 2021 season, with a total prize money of 2.7k € in his/her entire career.

The match will be played on clay courts in ITF Spain F17, Men Singles ().

Based purely on odds, the predicted winner of the match is Robertas Vrzesinski. 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.