Quentin Halys - Jesper De Jong

Match odds
1
1.75
2.02
2

name
1
2
3
sets
Quentin Halys
Jesper De Jong
4
6
6
4
7
6
2
1
Live Sports Streaming
Quentin Halys vs Jesper De Jong Head 2 Head
Quentin Halys Matches
Basilashvili N.
versus
Halys Q.
79
67
0
6
7
5
77
65
29 Jun 22
Finished
Paire B.
versus
Halys Q.
6
4
1
6
2
6
4
6
27 Jun 22
Finished
Thompson J.
versus
Halys Q.
6
2
6
0
19 Jun 22
Finished
Kuznetsov An.
versus
Halys Q.
7
6
1
6
6
7
18 Jun 22
Finished
Halys Q.
versus
Ruusuvuori E.
4
6
78
66
4
6
14 Jun 22
Finished
Jesper De Jong Matches
Kicker N.
versus
De Jong J.
3
6
7
5
1
0
04 Jul 22
Finished
De Jong J.
versus
De Krom M.
29 Jun 22
canceled
Marchenko I.
versus
De Jong J.
7
5
0
6
6
4
20 Jun 22
Finished
Ofner S.
versus
De Jong J.
7
6
6
3
14 Jun 22
Finished
Brooksby J.
versus
De Jong J.
77
63
6
3
07 Jun 22
Finished

You can follow Quentin Halys - Jesper De Jong live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Quentin Halys vs Jesper De Jong live streaming options are also shown on this page. Quentin Halys vs Jesper De Jong (2022 ATP Challenger Rome, Italy Men Singles) will kick off at 09:30 on 29 Apr 22.

Quentin Halys has won 80% of his last matches and managed to hit an average of 0 aces per match, while the double faults stand at 0 per match. Quentin Halys has won 62.4k € so far in the 2022 season, with a total prize money of 1.2M € in his entire career.

On the other hand, Jesper De Jong has won 40% of his last matches and managed to hit an average of 0.2 aces per match, while the double faults stand at 0.3 per match. Jesper De Jong has won 44.4k € so far in the 2022 season, with a total prize money of 144.3k € in his/her entire career.

The match will be played on clay courts in Rome, Italy Men Singles (Italy).

Based purely on odds, the predicted winner of the match is Quentin Halys. 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.