Evgeny Philippov - Gabriele Bosio


name
1
2
3
sets
Evgeny Philippov
Gabriele Bosio
7
5
5
7
10
6
2
1
Live Sports Streaming
Evgeny Philippov vs Gabriele Bosio Head 2 Head
Evgeny Philippov Matches
Szajrych J.
versus
Philippov E.
6
3
6
4
26 May 22
Finished
Philippov E.
versus
Romios M.
6
3
6
1
25 May 22
Finished
Philippov E.
versus
Erhard M.
2
6
1
6
20 May 22
Finished
Philippov E.
versus
Pennaforti G.
6
3
6
0
19 May 22
Finished
Romios M.
versus
Philippov E.
6
2
3
6
3
6
18 May 22
Finished
Gabriele Bosio Matches
Bosio G.
versus
Basso A.
5
7
1
6
31 May 22
Finished
Sekiguchi S.
versus
Bosio G.
3
6
6
4
6
0
25 May 22
Finished
Bosio G.
versus
Whitehouse M.
3
6
4
6
19 May 22
Finished
Thanos A.
versus
Bosio G.
2
6
1
6
18 May 22
Finished
Bouquier A.
versus
Bosio G.
6
1
1
6
6
4
07 Apr 22
Finished

You can follow Evgeny Philippov - Gabriele Bosio live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Evgeny Philippov vs Gabriele Bosio live streaming options are also shown on this page. Evgeny Philippov vs Gabriele Bosio (2021 ITF Tunisia F29, Men Singles) will kick off at 01:00 on 19 Jul 21.

Evgeny Philippov has won 57.89% of his last matches and managed to hit an average of 0.58 aces per match, while the double faults stand at 2.37 per match. Evgeny Philippov has won 628 € so far in the 2021 season, with a total prize money of 4.4k € in his entire career.

On the other hand, Gabriele Bosio has won 60% of his last matches and managed to hit an average of 0.65 aces per match, while the double faults stand at 1.6 per match. Gabriele Bosio has won 788 € so far in the 2021 season, with a total prize money of 6.5k € in his/her entire career.

The match will be played on hardcourt outdoor courts in ITF Tunisia F29, Men Singles ().

Based purely on odds, the predicted winner of the match is Gabriele Bosio. 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.