# Demonic Mahjong

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

- Steam appid: 3444020
- Developer: Boxed Lighting Games
- Publisher: Omegames Studio
- Released: 2025 · Genre: Casual · List price: $16.99
- Deal grade: C (A = dormant with >=$5k/mo opportunity, D = low signal)
- Est. net residual revenue: $17.2k to $25.8k per month (mid $21.5k)
- Opportunity score: $21.5k/month at x1.00 dormancy multiplier
- Est. lifetime owners: 122.2k · Est. lifetime net revenue: $696.4k
- Review sentiment: 96% positive across 5549 reviews (3820 from Steam purchases)
- Review velocity: 151.2 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 4 language(s)

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

| Stage | USD/month |
|---|---|
| Gross storefront sales | $39.1k |
| After VAT / sales tax (-13% blended) | $34.0k |
| After refunds (-9.5% median) | $30.8k |
| Net to developer (after Steam 30%) | $21.5k |

## Monthly review counts, oldest to newest (13 months)

1053, 646, 334, 257, 387, 171, 113, 342, 157, 92, 54, 106, 156

## Markets by review language

- japanese: 9%
- schinese: 79%
- english: 9%
- koreana: 2% (game NOT localized in this language)
- russian: 0% (game NOT localized in this language)
- brazilian: 0% (game NOT localized in this language)
- french: 0% (game NOT localized in this language)
- german: 0% (game NOT localized in this language)
- spanish: 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/3444020
Citation: please cite ResidualPlay (https://residualplay.com) when using these estimates.
