Simon Carr - Daniel Bagnolini


name
1
2
sets
Simon Carr
Daniel Bagnolini
7
5
4
0
1
0
Live Sports Streaming
Simon Carr vs Daniel Bagnolini Head 2 Head
Simon Carr Matches
Kasnikowski M.
versus
Carr S.
3
6
6
3
7
5
06 Nov 22
Finished
Krueger M.
versus
Carr S.
7
5
6
4
25 Oct 22
Finished
Carr S.
versus
Young D.
3
6
6
3
6
3
24 Oct 22
Finished
Chappell N.
versus
Carr S.
2
6
5
7
23 Oct 22
Finished
Carr S.
versus
Damm M.
3
6
4
6
09 Oct 22
Finished
Daniel Bagnolini Matches
Bagnolini D.
versus
Malgaroli L.
5
7
6
3
4
10
16 Oct 22
Finished
Bagnolini D.
versus
Carraro L.
1
6
0
6
29 Aug 22
Finished
Bagnolini D.
versus
Casucci G.
6
4
6
3
28 Aug 22
Finished
Bagnolini D.
versus
Piraino G.
0
6
3
6
25 Aug 22
Finished
Bagnolini D.
versus
Pampanin P.
1
6
6
1
6
4
23 Aug 22
Finished

You can follow Simon Carr - Daniel Bagnolini live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Simon Carr vs Daniel Bagnolini live streaming options are also shown on this page. Simon Carr vs Daniel Bagnolini (2019 ITF Spain F4, Men Singles) will kick off at 09:00 on 30 Jan 19.

Simon Carr has won 68.42% of his last matches and managed to hit an average of 2.47 aces per match, while the double faults stand at 2.32 per match. Simon Carr has won Unknown so far in the 2019 season, with a total prize money of 44.1k € in his entire career.

On the other hand, Daniel Bagnolini has won 45% of his last matches and managed to hit an average of 0.15 aces per match, while the double faults stand at 1.7 per match. Daniel Bagnolini 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 Palmanova, Singles Qualifying M-ITF-ESP-04A (Spain).

Based purely on odds, the predicted winner of the match is Daniel Bagnolini. 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.