# StarRupture

> ResidualPlay case file: an overlooked Steam game still earning residual revenue. Estimates carry a ±30-50% error range per title.

- Steam appid: 1631270
- Developer: Creepy Jar
- Released: 2026 · Genre: Action · List price: $19.99
- Deal grade: C (A = dormant with >=$5k/mo opportunity, D = low signal)
- Est. net residual revenue: $99.9k to $149.8k per month (mid $124.8k)
- Opportunity score: $124.8k/month at x1.00 dormancy multiplier
- Est. lifetime owners: 383.9k · Est. lifetime net revenue: $2.6M
- Review sentiment: 81% positive across 13208 reviews (11998 from Steam purchases)
- Review velocity: 745.0 reviews/month (6-month average)

## Why it's flagged

- Developer active, last post 0 months ago
- Studio active elsewhere (2 titles tracked), so this one may welcome a partner
- Last build shipped 2 months ago
- Last discounted 1 months ago, 7 sales in the last 12 months

## Where a gross dollar goes (monthly, at current velocity)

| Stage | USD/month |
|---|---|
| Gross storefront sales | $226.6k |
| After VAT / sales tax (-13% blended) | $197.2k |
| After refunds (-9.5% median) | $178.4k |
| Net to developer (after Steam 30%) | $124.8k |

## Monthly review counts, oldest to newest (7 months)

7673, 1416, 1146, 880, 408, 392, 228

## Markets by review language

- french: 7%
- german: 12% (game NOT localized in this language)
- english: 63%
- koreana: 1%
- russian: 3%
- spanish: 2%
- schinese: 6%
- brazilian: 2%
- japanese: 3%

Localization gap: 12% of measured reviews are written in languages the game does not support (top: german). Localizing is likely immediate market expansion.

## Methodology

Units are estimated from Steam-purchase reviews times a release-cohort multiplier (Boxleiter method, 20-75x by year). Revenue uses an effective price (lifetime discounts and regional pricing) and nets out VAT (~13%), refunds (~9.5%) and Steam's 30% cut: roughly 55% of gross reaches the developer.

Source: https://residualplay.com/game/1631270
Citation: please cite ResidualPlay (https://residualplay.com) when using these estimates.