ScoreAxis Logo
Yesterday matchesTommorow matches
ITF MenUSA F7, Singles Qualifying

Preston Brown - Nicaise Muamba

name
1
2
sets
Preston Brown
Nicaise Muamba
6
3
6
3
2
0
Live Sports Streaming
Preston Brown vs Nicaise Muamba Head 2 Head
Preston Brown Matches
Brown P.
versus
Ellouck R.
6
7
3
6
21 Mar 23
Finished
Brown P.
versus
Stepanian A.
6
4
6
2
20 Mar 23
Finished
Brown P.
versus
Panagiotou A.
6
3
6
1
19 Mar 23
Finished
Catarina L.
versus
Brown P.
6
1
6
3
16 Mar 23
Finished
Wassermann D.
versus
Brown P.
2
6
6
1
4
6
15 Mar 23
Finished
Nicaise Muamba Matches
Ogura K.
versus
Muamba N.
7
5
6
2
08 Mar 23
Finished
Muamba N.
versus
Ciocanu A.
6
1
6
3
07 Mar 23
Finished
Sorbo J.
versus
Muamba N.
5
7
1
6
06 Mar 23
Finished
Sorbo J.
versus
Muamba N.
6
3
6
3
24 Oct 22
Finished
Langmo C.
versus
Muamba N.
6
3
6
1
02 Aug 21
Finished

You can follow Preston Brown - Nicaise Muamba live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Preston Brown vs Nicaise Muamba live streaming options are also shown on this page. Preston Brown vs Nicaise Muamba (2021 ITF USA F9, Men Singles) will kick off at 02:00 on 19 Jul 21.

Preston Brown has won 52.63% of his last matches and managed to hit an average of 3.32 aces per match, while the double faults stand at 1.05 per match. Preston Brown has won 347 € so far in the 2021 season, with a total prize money of 10.3k € in his entire career.

On the other hand, Nicaise Muamba has won 31.58% of his last matches and managed to hit an average of 0.32 aces per match, while the double faults stand at 0.26 per match. Nicaise Muamba has won Unknown so far in the 2021 season, with a total prize money of 6.1k € in his/her entire career.

The match will be played on hardcourt outdoor courts in USA F7, Singles Qualifying ().

Based purely on odds, the predicted winner of the match is Nicaise Muamba. 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.