Asia Muhammad / Taylor Townsend - Bethanie Mattek-Sands / Shuai Zhang

Match odds
1
2.12
1.68
2

name
1
2
3
sets
Asia Muhammad / Taylor Townsend
Bethanie Mattek-Sands / Shuai Zhang
3
6
6
2
6
1
2
1
Live Sports Streaming
9
Aces
0
4
Double Faults
3
22/26 (85%)
Second Serve
20/23 (87%)
54/83 (65%)
First Serve
46/69 (67%)
40/54 (74%)
First Serve Points
32/46 (70%)
16/29 (55%)
Second Serve Points
11/23 (48%)
26
Receiver points won
27
7
Max points in a row
5
82
Points won
70
4/6 (67%)
Break points
1/8 (13%)
Asia Muhammad / Taylor Townsend vs Bethanie Mattek-Sands / Shuai Zhang Head 2 Head
Asia Muhammad / Taylor Townsend Matches
Muhammad A / Townsend T
versus
Melichar N / Xu Y
4
6
6
3
6
7
09 Sep 20
Finished
Dabrowski G / Riske A
versus
Muhammad A / Townsend T
4
6
2
6
07 Sep 20
Finished
Hradecka L / Klepac A
versus
Muhammad A / Townsend T
3
6
78
66
0
6
04 Sep 20
Finished
Muhammad A / Townsend T
versus
Mattek-Sands B / Zhang S
3
6
6
2
6
1
02 Sep 20
Finished
Kuzmova V / Swiatek I
versus
Muhammad A / Townsend T
77
63
6
3
24 Aug 20
Finished
Bethanie Mattek-Sands / Shuai Zhang Matches
Muhammad A / Townsend T
versus
Mattek-Sands B / Zhang S
3
6
6
2
6
1
02 Sep 20
Finished
Muhammad A / Townsend T
versus
Mattek-Sands B / Zhang S
3
6
6
3
10
8
22 Aug 20
Finished

You can follow Asia Muhammad / Taylor Townsend - Bethanie Mattek-Sands / Shuai Zhang live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Asia Muhammad / Taylor Townsend vs Bethanie Mattek-Sands / Shuai Zhang live streaming options are also shown on this page. Asia Muhammad / Taylor Townsend vs Bethanie Mattek-Sands / Shuai Zhang (US Open Women Double 2020) will kick off at 08:35 on 02 Sep 20.

The match will be played on hardcourt outdoor courts in US Open, Doubles (USA).

Based purely on odds, the predicted winner of the match is Bethanie Mattek-Sands / Shuai Zhang. 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.