2018 San Benedetto Tennis Cup – Singles

Matteo Berrettini was the defending champion but chose not to defend his title.

Singles
2018 San Benedetto Tennis Cup
Champion Daniel Elahi Galán
Runner-up Sergio Gutiérrez Ferrol
Final score6–2, 3–6, 6–2
Main article: 2018 San Benedetto Tennis Cup

Daniel Elahi Galán won the title after defeating Sergio Gutiérrez Ferrol 6–2, 3–6, 6–2 in the final.

Seeds
  1. Nikola Milojević (Second round, retired)
  2. Carlos Taberner (Semifinals, retired)
  3. Luca Vanni (Quarterfinals)
  4. Salvatore Caruso (First round)
  5. Ricardo Ojeda Lara (First round)
  6. Daniel Gimeno Traver (Second round)
  7. Gianluigi Quinzi (Second round)
  8. Daniel Elahi Galán (Champion)

Draw

Key

Finals
Semifinals Final
          
Lorenzo Giustino 6 3 4
8 Daniel Elahi Galán 3 6 6
8 Daniel Elahi Galán 6 3 6
Sergio Gutiérrez Ferrol 2 6 2
Sergio Gutiérrez Ferrol 1
2 Carlos Taberner 2r

Top half
First Round Second Round Quarterfinals Semifinals
1 N Milojević 6 7
A De Greef 4 5 1 N Milojević 2 0r
A Arnaboldi 6 6 A Arnaboldi 6 2
Alt B Bonzi 4 3 A Arnaboldi 3 4
F Argüello 4 6 0 L Giustino 6 6
T Brkić 6 1 6 T Brkić 1 64
L Giustino 6 6 L Giustino 6 77
5 R Ojeda Lara 3 0 L Giustino 6 3 4
3 L Vanni 6 77 8 DE Galán 3 6 6
Carlos Boluda-Purkiss 0 65 3 L Vanni 6 6
SE U Blanch 3 4 WC J Berrettini 4 3
WC Jacopo Berrettini 6 6 3 L Vanni 3 65
J Tatlot 6 66 6 8 DE Galán 6 77
A Collarini 1 78 3 J Tatlot 3 4
WC T Bellucci 6 1 4 8 DE Galán 6 6
8 DE Galán 4 6 6

Bottom half
First Round Second Round Quarterfinals Semifinals
7 G Quinzi 6 6
Q A Vavassori 0 0 7 G Quinzi 6 4 1
S Gutiérrez Ferrol 6 3 6 S Gutiérrez Ferrol 1 6 6
F Gaio 3 6 3 S Gutiérrez Ferrol 6 6
M Viola 77 6 M Viola 1 0
Q Pietro Rondoni 65 2 M Viola 2 6 6
J Domingues 6 0 6 J Domingues 6 3 3
4 S Caruso 4 6 4 S Gutiérrez Ferrol 1
6 D Gimeno Traver 6 7 2 C Taberner 2r
WC Riccardo Balzerani 3 5 6 D Gimeno Traver 6 1 4
WC A Pellegrino 3 4 A Pavić 4 6 6
A Pavić 6 6 A Pavić 4 4
Q JP Varillas 6 2 2 C Taberner 6 6
Q G Jacq 2 0r Q JP Varillas 3 3
T Robredo 2 1 2 C Taberner 6 6
2 C Taberner 6 6
gollark: https://www.sbert.net/docs/
gollark: If you want to do text you could just use a normal text-only model.
gollark: They generally still require attribution.
gollark: Update update: unfortunately, I cannot achieve low enough validation error to make this actually usable. Probably it would work better if the OCR thing were more accurate (there are issues with spacing), and if I rated memes from a dataset as "good" or "bad" instead of having "good" and "bad" sets from separate places (but this would take too long). I might put the mostly nonfunctional thing on github or something.
gollark: Update on the automatic meme classification thing: after far too much time dealing with various dependencyish issues, my stuff is being run through CLIP and extremely janky OCR then a sentence embedding model. I will begin work on actually implementing a classifier once the script finishes running on everything.

References
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