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ITF MenITF Thailand F8, Men Doubles

Anirudh Chandrasekar / Nitin Kumar Sinha - Seon Yong Han / Chien-Hsun Lo

name
1
2
3
sets
Anirudh Chandrasekar / Nitin Kumar Sinha
Seon Yong Han / Chien-Hsun Lo
7
5
67
79
13
11
2
1
Live Sports Streaming
4
Aces
4
0
Double Faults
3
25/25 (100%)
Second Serve
23/26 (88%)
58/83 (70%)
First Serve
60/86 (70%)
43/58 (74%)
First Serve Points
42/60 (70%)
16/25 (64%)
Second Serve Points
12/26 (46%)
32
Receiver points won
24
9
Max points in a row
6
91
Points won
78
2/8 (25%)
Break points
1/2 (50%)
Anirudh Chandrasekar / Nitin Kumar Sinha vs Seon Yong Han / Chien-Hsun Lo Head 2 Head
Anirudh Chandrasekar / Nitin Kumar Sinha Matches
Kaliyanda Poonacha N / Vardhan V
versus
Chandrasekar A / Sinha N
4
6
4
6
13 Nov 21
Finished
Dahiya P / Somani P
versus
Chandrasekar A / Sinha N
65
77
6
3
10
12
12 Nov 21
Finished
Sureshkumar M / Virali-Murugesan R
versus
Chandrasekar A / Sinha N
4
6
64
77
11 Nov 21
Finished
Anand K / Khan S
versus
Chandrasekar A / Sinha N
4
6
3
6
09 Nov 21
Finished
Chandrasekar A / Sinha N
versus
HO R / Stevenson K
3
6
62
77
04 Sep 19
Finished
Seon Yong Han / Chien-Hsun Lo Matches
Chandrasekar A / Sinha N
versus
HAN S Y / LO C H
7
5
67
79
13
11
28 Aug 19
Finished

You can follow Anirudh Chandrasekar / Nitin Kumar Sinha - Seon Yong Han / Chien-Hsun Lo live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Anirudh Chandrasekar / Nitin Kumar Sinha vs Seon Yong Han / Chien-Hsun Lo live streaming options are also shown on this page. Anirudh Chandrasekar / Nitin Kumar Sinha vs Seon Yong Han / Chien-Hsun Lo (2019 ITF Thailand F8, Men Doubles) will kick off at 09:25 on 28 Aug 19.

The match will be played on hardcourt outdoor courts in ITF Thailand F8, Men Doubles ().

Based purely on odds, the predicted winner of the match is Seon Yong Han / Chien-Hsun Lo. 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.