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GameRevenueData

Developer

Fabraz Games: Revenue & Sales Estimates

Revenue estimates for the 10 Steam games developed by Fabraz, ranked by estimated net revenue. Available estimated lifetime net (USD): $738.1K.

Catalog Est. Lifetime Net (USD)

$738.1K

Estimates for 5 of 10 tracked games

Tracked games

10

Top Earner

Demon Turf: Queens Edition

$602.1K

Coverage: 10 tracked titles; 5 with net estimates; 5 without. 4 have dedicated profiles. Missing estimates are excluded from the aggregate, not treated as known zero revenue.

Role: Developer. These are lifetime estimates for games credited to Fabraz; they are not company earnings, profit, or contractual receipts. Credits may omit co-development or historical publishing arrangements. Developer and publisher identities are not merged by matching names.

Recorded release dates: 2015-11-30–2022-04-14 (may include announced dates).

Largest title accounts for 81.6% of available estimated net revenue. Coverage gaps can change this share.

Showing 1–10 of the top 10 displayed entries, from 10 tracked titles. Figures include only available estimates. Search the full catalog .

Rows 1–10 · Page 1 of 1

# Game Est. lifetime net (USD) Positive reviews (raw) Release
1 Demon Turf: Queens Edition $602.1K 81%Positive (857) Nov 4, 2021
2 Slime-san: Superslime Edition $105.6K 85%Positive (331) Apr 7, 2017
3 Demon Turf: Neon Splash $24.5K 96%Positive (211) Apr 14, 2022
4 Planet Diver $4.9K 78%Positive (58) Nov 30, 2015
5 Slime-san: Blackbird's Kraken $934 73%Positive (11) Jul 20, 2017
6 Slime-san: Sheeple’s Sequel 50%Mixed (4) Feb 5, 2018
7 Slime-san: Creator 100%Positive (4) Dec 8, 2018
8 Demon Turf: Trials 92%Positive (131) Nov 27, 2020
9 Demon Tides 97%Positive (249)
10 Bubsy 4D (0)

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Revenue and sales estimates are based on the Boxleiter method using publicly available data including Steam review counts, pricing history, and statistical modeling. Actual revenue may differ significantly. These figures are provided for informational purposes only and should not be used for financial decisions. Read the full methodology.