Romain Arneodo / Tristan-Samuel Weissborn - Lorenzo Giustino / Matteo Viola

Match odds
1
1.42
2.77
2

name
1
2
sets
Romain Arneodo / Tristan-Samuel Weissborn
Lorenzo Giustino / Matteo Viola
6
2
6
3
2
0
Live Sports Streaming
0
Aces
0
24/24 (100%)
Second Serve
12/12 (100%)
22/46 (48%)
First Serve
37/49 (76%)
19/22 (86%)
First Serve Points
19/37 (51%)
17/24 (71%)
Second Serve Points
6/12 (50%)
24
Receiver points won
10
8
Max points in a row
4
60
Points won
35
3/8 (38%)
Break points
0/3 (0%)
Romain Arneodo / Tristan-Samuel Weissborn vs Lorenzo Giustino / Matteo Viola Head 2 Head
Romain Arneodo / Tristan-Samuel Weissborn Matches
Qureshi A-U-H / Vega Hernandez D
versus
Arneodo R / Weissborn T-S
4
6
2
6
20 Nov 21
Finished
Arneodo R / Weissborn T-S
versus
Goransson A / Pel D
6
4
77
64
19 Nov 21
Finished
Geerts M / Janvier M
versus
Arneodo R / Weissborn T-S
3
6
3
6
18 Nov 21
Finished
Drzewiecki K / Matuszewski P
versus
Arneodo R / Weissborn T-S
2
6
65
77
17 Nov 21
Finished
Molteni A / Nys H
versus
Arneodo R / Weissborn T-S
6
3
65
77
10
8
04 Sep 20
Finished
Lorenzo Giustino / Matteo Viola Matches
Arneodo R / Weissborn T-S
versus
Giustino L / Viola M
6
2
6
3
02 Sep 20
Finished

You can follow Romain Arneodo / Tristan-Samuel Weissborn - Lorenzo Giustino / Matteo Viola live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Romain Arneodo / Tristan-Samuel Weissborn vs Lorenzo Giustino / Matteo Viola live streaming options are also shown on this page. Romain Arneodo / Tristan-Samuel Weissborn vs Lorenzo Giustino / Matteo Viola (2020 ATP Challenger Cordenons, Italy Men Double) will kick off at 04:45 on 02 Sep 20.

The match will be played on clay courts in Cordenons, Italy Men Double (Italy).

Based purely on odds, the predicted winner of the match is Romain Arneodo / Tristan-Samuel Weissborn. 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.