Borna Gojo - Jaroslav Pospíšil


name
1
2
3
sets
Borna Gojo
Jaroslav Pospíšil
7
6
3
6
6
4
2
1
Live Sports Streaming
Borna Gojo vs Jaroslav Pospíšil Head 2 Head
Borna Gojo Matches
Baez S.
versus
Gojo B.
1
6
6
3
3
6
17 Sep 22
Finished
Gojo B.
versus
Ymer E.
2
6
62
77
15 Sep 22
Finished
Musetti L.
versus
Gojo B.
6
4
6
2
14 Sep 22
Finished
Gojo B.
versus
Duckworth J.
3
6
6
3
4
6
09 Sep 22
Finished
Struff J.
versus
Gojo B.
7
5
3
6
6
7
07 Sep 22
Finished
Jaroslav Pospíšil Matches
Seyboth Wild T.
versus
Pospíšil J.
6
4
6
3
12 Jun 22
Finished
Pospíšil J.
versus
Rubin N.
1
6
5
7
28 Mar 22
Finished
Madaras D.
versus
Pospíšil J.
3
6
3
6
27 Mar 22
Finished
Kalovelonis M.
versus
Pospíšil J.
6
4
3
6
6
3
13 Feb 22
Finished
Gojo B.
versus
Pospíšil J.
7
6
3
6
6
4
06 Feb 22
Finished

You can follow Borna Gojo - Jaroslav Pospíšil live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Borna Gojo vs Jaroslav Pospíšil live streaming options are also shown on this page. Borna Gojo vs Jaroslav Pospíšil (2022 ATP Challenger Bengaluru, India Men Singles) will kick off at 06:10 on 06 Feb 22.

Borna Gojo has won 70% of his last matches and managed to hit an average of 5.9 aces per match, while the double faults stand at 2.05 per match. Borna Gojo has won 4.9k € so far in the 2022 season, with a total prize money of 162k € in his entire career.

On the other hand, Jaroslav Pospíšil has won 45% of his last matches and managed to hit an average of 1.75 aces per match, while the double faults stand at 2.05 per match. Jaroslav Pospíšil has won 433 € so far in the 2022 season, with a total prize money of 467.7k € 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 Jaroslav Pospíšil. 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.