ResidualPlaybeta Open the radar

An alt girl for skoof

Terletski Games · 2024 · $4.99 · Casual · deal grade B

Measured on 2026-10-02 05:43 UTC, 4 days ago. The whole catalog is re-measured daily; a game that just launched can move fast between passes.

  • Estimated net residual revenue: $2.1k to $3.2k per month
  • Opportunity: $3.4k per month at x1.30 dormancy
  • Estimated lifetime owners: 380.0k
  • 83% positive across 10577 reviews · 72.2 reviews/month

Why it's flagged

  • Developer active, last post 2 months ago
  • Studio active elsewhere (2 titles tracked), so this one may welcome a partner
  • Store page localized in only 2 language(s)
  • Last discounted 0 months ago, 10 sales in the last 12 months

Analyst notes (AI-assisted)

Note written 2026-08-31; the live figures above take precedence over any numbers in it.

A short-form narrative comedy game with internet humor and chaotic energy, targeting a niche audience comfortable with absurdist storytelling.

An alt girl for skoof is a quiet performer generating solid monthly residuals on minimal marketing spend, with exceptionally strong sentiment in its core audience (83% positive lifetime, 82% recent). The title has found a devoted niche, particularly in Russian-speaking markets where it dominates review volume. It's not a mainstream hit, but the combination of low churn (40% still playing), high elasticity, and recent DLC pipeline suggests sustained interest. Best angle is a publishing refresh: localize pending DLC into English, run targeted campaigns in existing strongholds, and explore merchandising or soundtrack licensing to deepen engagement. Most realistic play: publishing.

  • Risk: Niche humor and deliberately unpolished aesthetic limit mainstream crossover; ceiling on addressable market appears already reached.
  • Risk: Heavy Russian-language concentration (86% of non-English reviews) creates regional dependency and potential localization gaps for expansion.
  • Risk: No workshop, cloud save, or trading cards; minimal technical feature set constrains community stickiness and discoverability.

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