Kaichi Uchida - Michael Geerts

Match odds
1
3.42
1.32
2

name
1
2
3
sets
Kaichi Uchida
Michael Geerts
4
6
6
1
6
4
2
1
Live Sports Streaming
Kaichi Uchida vs Michael Geerts Head 2 Head
Kaichi Uchida Matches
Uchida K.
versus
Bagnis F.
7
5
7
6
25 Jun 22
Finished
Uchida K.
versus
Geerts M.
4
6
6
1
6
4
24 Jun 22
Finished
Uchida K.
versus
Kamke T.
6
3
22 Jun 22
Finished
Uchida K.
versus
Wessels L.
6
4
6
1
20 Jun 22
Finished
Uchida K.
versus
Andreev A.
7
5
4
6
3
6
07 Jun 22
Finished
Michael Geerts Matches
Uchida K.
versus
Geerts M.
4
6
6
1
6
4
24 Jun 22
Finished
Domingues J.
versus
Geerts M.
1
6
4
6
22 Jun 22
Finished
Geerts M.
versus
Dutra Da Silva D.
6
2
6
4
21 Jun 22
Finished
Geerts M.
versus
Lajović D.
3
6
6
7
15 Jun 22
Finished
Guinard M.
versus
Geerts M.
3
6
2
6
14 Jun 22
Finished

You can follow Kaichi Uchida - Michael Geerts live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Kaichi Uchida vs Michael Geerts live streaming options are also shown on this page. Kaichi Uchida vs Michael Geerts (ATP Challenger Oeiras 3, Portugal Men Singles 2022) will kick off at 09:00 on 24 Jun 22.

Kaichi Uchida has won 52.63% of his last matches and managed to hit an average of 1.58 aces per match, while the double faults stand at 0.79 per match. Kaichi Uchida has won 10.1k € so far in the 2022 season, with a total prize money of 199.2k € in his entire career.

On the other hand, Michael Geerts has won 75% of his last matches and managed to hit an average of 1 aces per match, while the double faults stand at 0.75 per match. Michael Geerts has won 11k € so far in the 2022 season, with a total prize money of 111.8k € in his/her entire career.

The match will be played on clay courts in ATP Challenger Oeiras 3, Portugal Men Singles ().

Based purely on odds, the predicted winner of the match is Michael Geerts. 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.