# 魔堡乱斗

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

- Steam appid: 3834650
- Developer: 奇游此里
- Released: 2026 · Genre: Indie · List price: $7.99
- Deal grade: B (A = dormant with >=$5k/mo opportunity, D = low signal)
- Est. net residual revenue: $938 to $1.4k per month (mid $1.2k)
- Opportunity score: $1.8k/month at x1.50 dormancy multiplier
- Est. lifetime owners: 1.3k · Est. lifetime net revenue: $3.4k
- Review sentiment: 68% positive across 41 reviews (40 from Steam purchases)
- Review velocity: 17.5 reviews/month (6-month average)

## Why it's flagged

- Developer active, last post 0 months ago
- Last build shipped 0 months ago
- Store page localized in only 1 language(s)
- No Steam discount in 4.0 years (deepest tracked: -0%)

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

| Stage | USD/month |
|---|---|
| Gross storefront sales | $2.1k |
| After VAT / sales tax (-13% blended) | $1.9k |
| After refunds (-9.5% median) | $1.7k |
| Net to developer (after Steam 30%) | $1.2k |

## Monthly review counts, oldest to newest (2 months)

29, 6

## Missed seasonal-sale revenue (modeled)

Skipped 2 Steam seasonal sale window(s) in the last 2 months. Running a -50% discount in those windows is modeled at +$1.2k net in total, assuming a unit uplift of x3.0 (industry-typical for old catalog titles). Same ±30-50% error range applies.

## Estimated acquisition range

$28.1k to $56.3k (2-4x the trailing net annuity of $14.1k/year). Same error range applies.

## Markets by review language

- schinese: 100%

## 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/3834650
Citation: please cite ResidualPlay (https://residualplay.com) when using these estimates.