Chun Hsin Tseng - Alexander Erler


name
1
2
sets
Chun Hsin Tseng
Alexander Erler
79
67
6
2
2
0
Live Sports Streaming
Chun Hsin Tseng vs Alexander Erler Head 2 Head
Chun Hsin Tseng Matches
Tseng C.
versus
Stricker D.
2
4
1
4
2
4
10 Nov 22
Finished
Draper J.
versus
Tseng C.
1
4
4
2
47
32
4
2
09 Nov 22
Finished
Musetti L.
versus
Tseng C.
4
2
4
2
4
2
08 Nov 22
Finished
Chung Y.
versus
Tseng C.
7
5
7
5
18 Oct 22
Finished
Marterer M.
versus
Tseng C.
6
3
6
2
11 Oct 22
Finished
Alexander Erler Matches
Kukushkin M.
versus
Erler A.
6
2
7
6
14 Nov 22
Finished
Erler A.
versus
Onclin G.
7
6
7
6
13 Nov 22
Finished
Erler A.
versus
Sousa J.
6
7
5
7
22 Oct 22
Finished
Van Rijthoven T.
versus
Erler A.
7
6
6
3
17 Oct 22
Finished
Erler A.
versus
Furness E.
6
1
6
4
16 Oct 22
Finished

You can follow Chun Hsin Tseng - Alexander Erler live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Chun Hsin Tseng vs Alexander Erler live streaming options are also shown on this page. Chun Hsin Tseng vs Alexander Erler (2019 ITF Egypt F2, Men Singles) will kick off at 08:00 on 30 Jan 19.

Chun Hsin Tseng has won 60% of his last matches and managed to hit an average of 1.75 aces per match, while the double faults stand at 2.15 per match. Chun Hsin Tseng has won 62.9k € so far in the 2019 season, with a total prize money of 174.5k € in his entire career.

On the other hand, Alexander Erler has won 20% of his last matches and managed to hit an average of 2.8 aces per match, while the double faults stand at 1.3 per match. Alexander Erler has won 313 € so far in the 2019 season, with a total prize money of 117k € in his/her entire career.

The match will be played on clay courts in Sharm El Sheikh, Singles Qualifying M-ITF-EGY-02A (Egypt).

Based purely on odds, the predicted winner of the match is Alexander Erler. 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.