Onna dakara, to Party wo Tsuihousareta no de Densetsu no Majo to Saikyou Tag wo Kumimashita

Onna dakara, to Party wo Tsuihousareta no de Densetsu no Majo to Saikyou Tag wo Kumimashita

action · adventure · comedy · fantasy
Save for later
View franchise
AniList
MyAnimeList

Driven by spite after being told she could not achieve greatness as a woman, Tanya Artemiciov relentlessly trained to finally become a mage. But five years later, her friend kicks her out of their party for the same reason—she dared to be a woman. To let out her frustrations, Tanya casts destructive spells in a wasteland, until a mysterious woman presents herself before her. Tanya learns that the woman—introduced as Laplace—belongs to a magical class of sorceresses, heard of only in whispers, and was sealed away three hundred years ago, freed by Tanya's ruinous rampage. After an intricate game, Tanya confirms Laplace's identity, and the two women shunned by society team-up. For their own reasons, the newly established duo decides to engage in the upcoming Adventurers' Sparring Tournament, where strong parties clash in the ultimate test of strength. As more secrets bubble to the surface, the girls' chaotic journey takes off, starting with Tanya's fitting vengeance.

More LIGHT NOVEL Like This
Filters
Release Year Range
Filter recommendations by release year
19792022
Genre
Filter recommendations to those including/excluding selected genres
action
adventure
comedy
drama
ecchi
fantasy
horror
mahou shoujo
mecha
music
mystery
psychological
romance
sci-fi
slice of life
sports
supernatural
thriller
Community Rating
Filter recommendations by AL, MAL, or Kitsu rating. If the media's rating in any of them is greater than or equal to the specified, it is eligible
0
Country of Origin
Filter recommendations by their country of origin
Settings
Title Display
Change the title displayed on the recommended media
Recommendation Algorithm
Recommendation View
Change the format of the recommendations. You can choose between "Single", where you see a single recommendation at a time, or "List", where you see multiple recommendations at once.