# 极速营救

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

- Steam appid: 3488970
- Developer: 优映文化
- Publisher: 想象颗粒
- Released: 2025 · Genre: RPG · List price: $9.99
- Deal grade: B (A = dormant with >=$5k/mo opportunity, D = low signal)
- Est. net residual revenue: $536 to $804 per month (mid $670)
- Opportunity score: $904/month at x1.35 dormancy multiplier
- Est. lifetime owners: 59.6k · Est. lifetime net revenue: $199.5k
- Review sentiment: 86% positive across 2144 reviews (1861 from Steam purchases)
- Review velocity: 8.0 reviews/month (6-month average)

## Why it's flagged

- Developer silent for 12 months
- Studio quiet across its whole catalog
- Last build shipped 12 months ago
- Store page localized in only 2 language(s)

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

| Stage | USD/month |
|---|---|
| Gross storefront sales | $1.2k |
| After VAT / sales tax (-13% blended) | $1.1k |
| After refunds (-9.5% median) | $958 |
| Net to developer (after Steam 30%) | $670 |

## Monthly review counts, oldest to newest (12 months)

1694, 67, 31, 30, 22, 20, 12, 6, 9, 2, 9, 10

## Estimated acquisition range

$16.1k to $32.2k (2-4x the trailing net annuity of $8.0k/year). Same error range applies.

## Markets by review language

- russian: 0% (game NOT localized in this language)
- japanese: 0% (game NOT localized in this language)
- schinese: 98%
- brazilian: 0% (game NOT localized in this language)
- english: 2% (game NOT localized in this language)
- koreana: 0% (game NOT localized in this language)

## 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/3488970
Citation: please cite ResidualPlay (https://residualplay.com) when using these estimates.