Quick Transmigration System: The Scum Girl and the Villain Are the Perfect Match

快穿系统:渣女和反派才是绝配

Completed
3153 Bölüm
58283 Okunma
45 Takipçi
Completed · 58283 Okunma
3153 Bölüm · 45 Takipçi
4.5(2 reviews)

Özet

The system of other people’s homes is from the sky, and the system of their own is robbed. It traverses three thousand planes, with the collapse of the plot, and blasts the heads of NPCs casually! The female partner counterattacks, the scumbag saves herself, runs away after torturing the male protagonist, and refuses to recognize the villain when she raises her pants. But why, this villain chased her and ran one world after another? A certain year, month, day, a certain unscientific scumbag girl, holding a wine glass, “Some systems are their own when they are used, and some villains become fine when they are broken!” The younger generation’s eyes are shining, with a look of admiration, “Then senior, did you hammer his dog’s head?” “certainly……” A small cool breeze blows behind. “Ah ah!” She shrank her neck, turned around to run, but was caught by the fox’s tail. A certain villain looked gloomy, “Wife, are you still running?”

Detay

Başlıklar
  • Quick Transmigration System: The Scum Girl and the Villain Are the Perfect Match
  • 快穿系统:渣女和反派才是绝配
DurumCompleted
Eklenme Tarihi11 Ekim 2022
Yazar
Türromance,sci-fi
Haftalık#4976
Aylık#4610
Tüm Zamanlar#1319
EtiketlerAggressive Characters,Ancient China,Ancient Times,Apocalypse,Arranged Marriage,Arrogant Characters,Beautiful Female Lead,Business Management,Celebrities,Clingy Lover,Cold Love Interests,Cross-dressing,Cunning Protagonist,Devoted Love Interests,Doting Love Interests,European Ambience,Fated Lovers,Female Protagonist,Game Elements,Hackers,Handsome Male Lead,Immortals,Magic,Medical Knowledge,Mythical Beasts,Narcissistic Protagonist,Orcs,Overpowered Protagonist,Possessive Characters,Post-apocalyptic,Power Couple,Protagonist Strong from the Start,Shameless Protagonist,Sharp-tongued Characters,System,Tsundere,Vampires,Wealthy Characters,World Hopping,Zombies