# Rogue Hex

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

- Steam appid: 2275940
- Developer: Topstitch Games
- Released: 2025 · Genre: Indie · List price: $19.99
- Deal grade: D (A = dormant with >=$5k/mo opportunity, D = low signal)
- Est. net residual revenue: $380 to $570 per month (mid $475)
- Opportunity score: $475/month at x1.00 dormancy multiplier
- Est. lifetime owners: 8.2k · Est. lifetime net revenue: $54.7k
- Review sentiment: 87% positive across 275 reviews (255 from Steam purchases)
- Review velocity: 2.8 reviews/month (6-month average)

## Why it's flagged

- Developer active, last post 6 months ago
- Last build shipped 5 months ago
- Last discounted 1 months ago, 9 sales in the last 12 months

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

| Stage | USD/month |
|---|---|
| Gross storefront sales | $862 |
| After VAT / sales tax (-13% blended) | $750 |
| After refunds (-9.5% median) | $679 |
| Net to developer (after Steam 30%) | $475 |

## Monthly review counts, oldest to newest (19 months)

98, 15, 9, 11, 5, 12, 3, 45, 12, 2, 11, 11, 8, 6, 1, 2, 5, 2, 1

## Missed seasonal-sale revenue (modeled)

Skipped 4 Steam seasonal sale window(s) in the last 19 months. Running a -50% discount in those windows is modeled at +$10.2k net in total, assuming a unit uplift of x3.0 (industry-typical for old catalog titles). Same ±30-50% error range applies.

## Markets by review language

- spanish: 0%
- japanese: 4%
- schinese: 8%
- french: 1%
- german: 5%
- english: 75%
- koreana: 2%
- russian: 3%

## 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/2275940
Citation: please cite ResidualPlay (https://residualplay.com) when using these estimates.