Sidharth Rawat - Gabriel Decamps


name
1
2
sets
Sidharth Rawat
Gabriel Decamps
2
6
4
6
0
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Live Sports Streaming
Sidharth Rawat vs Gabriel Decamps Head 2 Head
Sidharth Rawat Matches
Ionel N.
versus
Rawat S.
4
6
6
1
7
6
29 Jan 23
Finished
Rawat S.
versus
Sharipov M.
28 Jan 23
Walkover
Trongcharoenchaikul W.
versus
Rawat S.
3
6
4
6
27 Jan 23
Finished
Isomura K.
versus
Rawat S.
4
6
5
7
26 Jan 23
Finished
Pham D.
versus
Rawat S.
65
77
5
7
25 Jan 23
Finished
Gabriel Decamps Matches
Decamps G.
versus
Gulbis E.
1
6
15 Jan 23
Finished
Decamps G.
versus
Martín Tiffón P.
6
7
7
6
4
6
10 Jan 23
Finished
Decamps G.
versus
de Schepper K.
3
6
6
3
7
5
09 Jan 23
Finished
Decamps G.
versus
Rocha H.
7
5
6
3
08 Jan 23
Finished
Decamps G.
versus
Clarke J.
6
7
1
6
03 Jan 23
Finished

You can follow Sidharth Rawat - Gabriel Decamps live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Sidharth Rawat vs Gabriel Decamps live streaming options are also shown on this page. Sidharth Rawat vs Gabriel Decamps (2022 ATP Challenger Bengaluru, India Men Singles) will kick off at 04:30 on 06 Feb 22.

Sidharth Rawat has won 45% of his last matches and managed to hit an average of 3.8 aces per match, while the double faults stand at 1.4 per match. Sidharth Rawat has won Unknown so far in the 2022 season, with a total prize money of 62.2k € in his entire career.

On the other hand, Gabriel Decamps has won 73.68% of his last matches and managed to hit an average of 2.89 aces per match, while the double faults stand at 3.89 per match. Gabriel Decamps has won 1.3k € so far in the 2022 season, with a total prize money of 14.1k € in his/her entire career.

The match will be played on hardcourt outdoor courts in Bangalore, India Men Singles (India).

Based purely on odds, the predicted winner of the match is Gabriel Decamps. 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.