Madison Brengle - Urszula Radwańska


name
1
2
sets
Madison Brengle
Urszula Radwańska
77
64
6
3
2
0
Live Sports Streaming
Madison Brengle vs Urszula Radwańska Head 2 Head
Madison Brengle Matches
Kenin S.
versus
Brengle M.
6
1
6
3
03 Nov 22
Finished
Zhao C.
versus
Brengle M.
4
6
1
6
01 Nov 22
Finished
Blokhina A.
versus
Brengle M.
3
6
6
4
6
4
26 Oct 22
Finished
Brengle M.
versus
Udvardy P.
6
3
6
1
23 Oct 22
Finished
Brengle M.
versus
Volynets K.
6
2
6
3
22 Oct 22
Finished
Urszula Radwańska Matches
Montgomery R.
versus
Radwańska U.
78
66
7
5
13 Nov 22
Finished
Radwańska U.
versus
Chong E.
2
6
6
4
6
3
12 Nov 22
Finished
Radwańska U.
versus
Sánchez A.
6
1
77
65
11 Nov 22
Finished
Radwańska U.
versus
Sleeth L.
66
78
6
2
6
1
09 Nov 22
Finished
Harrison C.
versus
Radwańska U.
2
6
1
6
07 Nov 22
Finished

You can follow Madison Brengle - Urszula Radwańska live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Madison Brengle vs Urszula Radwańska live streaming options are also shown on this page. Madison Brengle vs Urszula Radwańska (2019 ITF USA 03A, Women Singles) will kick off at 03:00 on 30 Jan 19.

Madison Brengle has won 75% of his last matches and managed to hit an average of 0.1 aces per match, while the double faults stand at 1.45 per match. Madison Brengle has won 113.9k € so far in the 2019 season, with a total prize money of 3.3M € in her entire career.

On the other hand, Urszula Radwańska has won 35% of his last matches and managed to hit an average of 1.2 aces per match, while the double faults stand at 2.2 per match. Urszula Radwańska has won 16.3k € so far in the 2019 season, with a total prize money of 1.7M € in his/her entire career.

The match will be played on hardcourt outdoor courts in Wesley Chapel (USA).

Based purely on odds, the predicted winner of the match is Urszula Radwańska. 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.