← This week2026.09.21 ~ 2026.09.27
ThemeJapan · Syosetu

revenge

40.0%
-20.0%p

Share over 12 weeks

6/299/21
View weekly figures
WeekShareTitles
6/2910.0%1/10 titles
7/610.0%1/10 titles
7/2010.0%1/10 titles
7/2710.0%1/10 titles
8/310.0%1/10 titles
8/1020.0%2/10 titles
8/1740.0%4/10 titles
8/2430.0%3/10 titles
8/310.0%0/10 titles
9/720.0%2/10 titles
9/1460.0%6/10 titles
9/2140.0%4/10 titles

Evidence

  • revenge appears in 4 of the 10 titles (40.0%) on the Japan chart.
  • Against the last observed week (9/14) at 60.0%, that is -20.0%p — from 6 to 4 titles, down 2.
  • Observed in 11 of the last 12 weeks.

WriterMate's reading

100.0% of the titles carrying revenge also carry isekai. It is more accurate to read this as the "revenge + isekai" combination moving, rather than the theme on its own. Next most common: growth(75.0%), reincarnation(50.0%).

Appears alongside

Ranked titles behind this 4titles

Story pattern read from the synopses

4titles

This week's Japanese revenge-themed works feature protagonists who, after reincarnating or being reborn, seek revenge for past injustices or retaliate against those who treated them poorly. The protagonists often pursue a slow life based on their past-life memories or use their given abilities to turn the tables. Revenge is initiated through various triggers such as broken engagements, family betr

What changed from last week — Compared to the previous week, there is an increased emphasis on protagonists using past-life memories to directly retaliate against those who treated them poorly. Additionally, there's a rise in stories where protagonists break off engagements, start new lives, and plan their revenge.

This trope in other markets

  • China 10.0%
  • North America 10.0% (-30.0%p)

Original source: Syosetu 종합 평가 순위 · Qidian 월표(月票) 순위 · Royal Road Active Popular

Rankings and title information come from each platform's public charts. Shares, changes, streak lengths and cross-market comparisons are calculated by WriterMate from stored snapshots, and every interpretation is derived from those figures alone. See how we calculate this