Christopher Eubanks / Mackenzie McDonald - Rajeev Ram / Joe Salisbury

Match odds
1
4.52
1.2
2

name
1
2
sets
Christopher Eubanks / Mackenzie McDonald
Rajeev Ram / Joe Salisbury
2
6
65
77
0
2
Live Sports Streaming
8
Aces
6
8
Double Faults
5
22/30 (73%)
Second Serve
13/18 (72%)
44/74 (59%)
First Serve
46/64 (72%)
32/44 (73%)
First Serve Points
39/46 (85%)
11/30 (37%)
Second Serve Points
7/18 (39%)
18
Receiver points won
31
5
Max points in a row
5
61
Points won
77
1/4 (25%)
Break points
3/7 (43%)
Christopher Eubanks / Mackenzie McDonald vs Rajeev Ram / Joe Salisbury Head 2 Head
Christopher Eubanks / Mackenzie McDonald Matches
Eubanks C / Mcdonald M
versus
Ram R / Salisbury J
2
6
65
77
06 Sep 20
Finished
Daniell M / Oswald P
versus
Eubanks C / Mcdonald M
65
77
3
6
04 Sep 20
Finished
Bambridge L / Mclachlan B
versus
Eubanks C / Mcdonald M
3
6
2
6
02 Sep 20
Finished
Rajeev Ram / Joe Salisbury Matches
Ram R / Salisbury J
versus
Martin F / Nys H
02 Jul 22
10:00
Ram R / Salisbury J
versus
Altmaier D / Taberner C
6
3
77
65
78
66
30 Jun 22
Finished
Ram R / Salisbury J
versus
Glasspool L / Heliovaara H
68
710
2
6
16 Jun 22
Finished
Ram R / Salisbury J
versus
Murray J / Soares B
77
62
77
63
15 Jun 22
Finished
Ram R / Salisbury J
versus
Dodig I / Krajicek A
6
3
69
711
610
712
31 May 22
Finished

You can follow Christopher Eubanks / Mackenzie McDonald - Rajeev Ram / Joe Salisbury live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Christopher Eubanks / Mackenzie McDonald vs Rajeev Ram / Joe Salisbury live streaming options are also shown on this page. Christopher Eubanks / Mackenzie McDonald vs Rajeev Ram / Joe Salisbury (US Open Men Double 2020) will kick off at 03:00 on 06 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 Rajeev Ram / Joe Salisbury. 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.