ResidualPlaybeta Open the radar

White Day: A Labyrinth Named School

SONNORI Corp · 2017 · $29.99 · Action · deal grade B

Measured on 2026-09-23 12:06 UTC, 12 days ago. The whole catalog is re-measured daily; a game that just launched can move fast between passes.

  • Estimated net residual revenue: $2.4k to $3.6k per month
  • Opportunity: $4.8k per month at x1.60 dormancy
  • Estimated lifetime owners: 210.0k
  • 81% positive across 4539 reviews · 18.5 reviews/month

Why it's flagged

  • Developer silent for 2.6 years
  • Studio quiet across its whole catalog
  • Last discounted 0 months ago, 9 sales in the last 12 months
  • Proven demand elasticity: x1.4 review velocity during past deep sales

Analyst notes (AI-assisted)

Note written 2026-09-13; the live figures above take precedence over any numbers in it.

White Day: A Labyrinth Named School is a Korean survival horror title set in a high school, built around exploration, puzzle-solving and evasion of supernatural threats.

This 2017 release continues to generate solid four-figure monthly residuals from a dedicated Asian player base, particularly in China and Korea, despite zero promotional activity in the past year and minimal developer engagement. The 81% positive rating and stable 35% still-playing rate suggest the core experience holds up well; the title represents a quiet, profitable catalog asset with modest revival potential if localization gaps (especially Brazilian Portuguese) are addressed or if a publisher considers regional-focused marketing in dormant territories. Most realistic play: watch.

  • Risk: Current player base is heavily concentrated in Asia; Western and emerging markets show minimal penetration despite reasonable review coverage in English and Russian.
  • Risk: Developer has posted no public updates in roughly 31 months, and the studio status is fading, limiting prospects for active content support or rapid bug fixes.
  • Risk: 41 DLC items suggest a fragmented monetization surface; unclear which DLC remains viable or whether older content creates technical debt.

This case as Markdown · Estimates carry ±30-50% error per title.