2018 JC Ferrero Challenger Open – Doubles

Wesley Koolhof and Artem Sitak won the title after defeating Guido Andreozzi and Ariel Behar 6–3, 6–2 in the final.

Doubles
2018 JC Ferrero Challenger Open
Champions Wesley Koolhof
Artem Sitak
Runners-up Guido Andreozzi
Ariel Behar
Final score6–3, 6–2

This was the first edition of the tournament.

Seeds

Draw

Key

First Round Quarterfinals Semifinals Final
1 W Koolhof
A Sitak
6 6
Í Cervantes
D Marrero
4 1 1 W Koolhof
A Sitak
w/o
Alt A Arnaboldi
A Giannessi
7 7 Alt A Arnaboldi
A Giannessi
R Junaid
G Oliveira
5 5 1 W Koolhof
A Sitak
5 6 [10]
3 J Eysseric
H Nys
2 4 WC P Martínez
D Vega Hernández
7 4 [5]
WC P Martínez
D Vega Hernández
6 6 WC P Martínez
D Vega Hernández
6 4 [10]
WC A de Minaur
S Gutiérrez Ferrol
2 4 Y Shyla
A Vasilevski
4 6 [8]
Y Shyla
A Vasilevski
6 6 1 W Koolhof
A Sitak
6 6
WC Carlos Boluda-Purkiss
M Vilella Martínez
6 6 4 G Andreozzi
A Behar
3 2
K de Schepper
E López Pérez
4 2 WC C Boluda-Purkiss
M Vilella Martínez
3 1
T Bednarek
G Panfil
2 6 [8] 4 G Andreozzi
A Behar
6 6
4 G Andreozzi
A Behar
6 3 [10] 4 G Andreozzi
A Behar
6 6
A Motti
S Travaglia
6 77 A Motti
S Travaglia
0 2
Z Kolář
A Siljeström
1 63 A Motti
S Travaglia
6 6
S Clayton
D Pel
6 5 [10] S Clayton
D Pel
3 2
2 A Begemann
D Sharan
4 7 [6]
gollark: "Compare" how? You'd need to fuzzy-match them somehow to deal with differences in compression or whatever.
gollark: - post all of them on reddit and see if someone says one is a repost of another
gollark: Some very rough ideas for how to detect similar images:- remove blank space at top/bottom/sides and do the rest of these- run OCR over the text and check for matches- split image up into chunks, reduce the color space a lot, count how many times each color appears, check for similar chunks in other images- run edge detection on them, get locations of edges, fuzzy matching of those- ML-based object detection?- some sort of locality-sensitive hashing for image data
gollark: Probably, but I don't know what software or have any idea how it works.
gollark: Or look at how the repost detection bots do it.

References

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