Anna-Lena Friedsam / Kateřina Siniaková - Usue Maitane Arconada / Christina McHale

Match odds
1
1.38
3.02
2

name
1
2
sets
Anna-Lena Friedsam / Kateřina Siniaková
Usue Maitane Arconada / Christina McHale
6
4
6
3
2
0
Live Sports Streaming
2
Aces
1
1
Double Faults
4
9/10 (90%)
Second Serve
20/24 (83%)
41/51 (80%)
First Serve
52/76 (68%)
31/41 (76%)
First Serve Points
28/52 (54%)
5/10 (50%)
Second Serve Points
13/24 (54%)
35
Receiver points won
15
5
Max points in a row
4
71
Points won
56
4/8 (50%)
Break points
1/5 (20%)
Anna-Lena Friedsam / Kateřina Siniaková vs Usue Maitane Arconada / Christina McHale Head 2 Head
Anna-Lena Friedsam / Kateřina Siniaková Matches
Friedsam A-L / Siniakova K
versus
Blinkova A / Kudermetova V
3
6
6
3
1
6
04 Sep 20
Finished
Friedsam A-L / Siniakova K
versus
Arconada U M / Mchale C
6
4
6
3
03 Sep 20
Finished
Perez E / Sanders S
versus
Friedsam A-L / Siniakova K
6
2
1
6
14
12
22 Aug 20
Finished
Usue Maitane Arconada / Christina McHale Matches
Kulikov A / Valdes R
versus
Arconada U M / Mchale C
6
3
6
3
28 Jan 22
Finished
Kung L / Parks A
versus
Arconada U M / Mchale C
0
6
2
6
27 Jan 22
Finished
Friedsam A-L / Siniakova K
versus
Arconada U M / Mchale C
6
4
6
3
03 Sep 20
Finished

You can follow Anna-Lena Friedsam / Kateřina Siniaková - Usue Maitane Arconada / Christina McHale live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Anna-Lena Friedsam / Kateřina Siniaková vs Usue Maitane Arconada / Christina McHale live streaming options are also shown on this page. Anna-Lena Friedsam / Kateřina Siniaková vs Usue Maitane Arconada / Christina McHale (US Open Women Double 2020) will kick off at 05:55 on 03 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 Anna-Lena Friedsam / Kateřina Siniaková. 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.