# Old Skies

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

- Steam appid: 1346360
- Developer: Wadjet Eye Games
- Released: 2025 · Genre: Adventure · List price: $19.99
- Deal grade: C (A = dormant with >=$5k/mo opportunity, D = low signal)
- Est. net residual revenue: $2.2k to $3.4k per month (mid $2.8k)
- Opportunity score: $2.8k/month at x1.00 dormancy multiplier
- Est. lifetime owners: 30.6k · Est. lifetime net revenue: $205.3k
- Review sentiment: 93% positive across 1031 reviews (957 from Steam purchases)
- Review velocity: 16.7 reviews/month (6-month average)

## Why it's flagged

- Developer active, last post 7 months ago
- Studio active elsewhere (8 titles tracked), so this one may welcome a partner
- Last build shipped 15 months ago
- Store page localized in only 1 language(s)
- Last discounted 1 months ago, 6 sales in the last 12 months

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

| Stage | USD/month |
|---|---|
| Gross storefront sales | $5.1k |
| After VAT / sales tax (-13% blended) | $4.4k |
| After refunds (-9.5% median) | $4.0k |
| Net to developer (after Steam 30%) | $2.8k |

## Monthly review counts, oldest to newest (16 months)

336, 144, 64, 84, 46, 30, 34, 27, 58, 36, 21, 19, 20, 10, 11, 19

## Missed seasonal-sale revenue (modeled)

Skipped 3 Steam seasonal sale window(s) in the last 16 months. Running a -50% discount in those windows is modeled at +$15.4k net in total, assuming a unit uplift of x3.0 (industry-typical for old catalog titles). Same ±30-50% error range applies.

## 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/1346360
Citation: please cite ResidualPlay (https://residualplay.com) when using these estimates.
