Alessandro Giannessi - Johan Tatlot


name
1
2
3
sets
Alessandro Giannessi
Johan Tatlot
1
6
6
4
6
3
2
1
Live Sports Streaming
Alessandro Giannessi vs Johan Tatlot Head 2 Head
Alessandro Giannessi Matches
Hanfmann Y.
versus
Giannessi A.
04 Oct 22
01:00
Giannessi A.
versus
Andújar P.
4
6
6
4
2
6
20 Sep 22
Finished
Giannessi A.
versus
de Schepper K.
6
4
3
6
0
1
30 Aug 22
Finished
Giannessi A.
versus
Navone M.
30 Aug 22
canceled
Giannessi A.
versus
Cachin P.
1
6
2
6
18 Aug 22
Finished
Johan Tatlot Matches
Gutierrez O.
versus
Tatlot J.
77
65
6
0
21 Apr 22
Finished
Legout T.
versus
Tatlot J.
4
6
5
7
19 Apr 22
Finished
Mayot H.
versus
Tatlot J.
3
6
6
3
6
0
22 Mar 22
Finished
Reymond A.
versus
Tatlot J.
2
6
77
64
77
6
15 Sep 21
Finished
Tatlot J.
versus
Fonio G.
1
6
63
77
18 Jun 21
Finished

You can follow Alessandro Giannessi - Johan Tatlot live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Alessandro Giannessi vs Johan Tatlot live streaming options are also shown on this page. Alessandro Giannessi vs Johan Tatlot (2019 ATP Challenger Como, Italy Men Singles) will kick off at 08:00 on 28 Aug 19.

Alessandro Giannessi has won 40% of his last matches and managed to hit an average of 2.35 aces per match, while the double faults stand at 2.5 per match. Alessandro Giannessi has won 34.5k € so far in the 2019 season, with a total prize money of 983.8k € in his entire career.

On the other hand, Johan Tatlot has won 50% of his last matches and managed to hit an average of 3.15 aces per match, while the double faults stand at 4.75 per match. Johan Tatlot has won Unknown so far in the 2019 season, with a total prize money of 113.4k € in his/her entire career.

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

Based purely on odds, the predicted winner of the match is Johan Tatlot. 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.