# MY HERO ACADEMIA: All’s Justice

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

- Steam appid: 2362050
- Developer: Byking Inc.
- Publisher: Bandai Namco Entertainment Inc.
- Released: 2026 · Genre: Action · List price: $59.99
- Deal grade: C (A = dormant with >=$5k/mo opportunity, D = low signal)
- Est. net residual revenue: $51.1k to $76.6k per month (mid $63.9k)
- Opportunity score: $63.9k/month at x1.00 dormancy multiplier
- Est. lifetime owners: 23.6k · Est. lifetime net revenue: $475.1k
- Review sentiment: 63% positive across 958 reviews (738 from Steam purchases)
- Review velocity: 127.0 reviews/month (6-month average)

## Why it's flagged

- Developer active, last post 4 months ago
- Studio active elsewhere (3 titles tracked), so this one may welcome a partner
- Last build shipped 4 months ago
- Last discounted 1 months ago, 3 sales in the last 12 months

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

| Stage | USD/month |
|---|---|
| Gross storefront sales | $115.9k |
| After VAT / sales tax (-13% blended) | $100.9k |
| After refunds (-9.5% median) | $91.3k |
| Net to developer (after Steam 30%) | $63.9k |

## Monthly review counts, oldest to newest (6 months)

611, 46, 30, 24, 16, 35

## Markets by review language

- spanish: 9%
- japanese: 5%
- schinese: 1% (game NOT localized in this language)
- brazilian: 2% (game NOT localized in this language)
- german: 3%
- koreana: 3% (game NOT localized in this language)
- russian: 2% (game NOT localized in this language)
- french: 2%
- english: 74%

## 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/2362050
Citation: please cite ResidualPlay (https://residualplay.com) when using these estimates.