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Backrooms: Extractions vs Rust

Reviews on Steam

Rust

1645.7× more reviews

Critical reception

Rust

13.6pp gap

Cheaper at launch

Backrooms: Extractions

$33.00 cheaper

Estimated sales (median)

Rust

4231.7× more units (white-box estimate)

More recent

Backrooms: Extractions

7 years apart

A

Backrooms: Extractions

2025 · Action

Headlight Studio · Headlight Studio

Reviews
693
Positive
73%
Launch price
$6.99
Engine
n/a
Sales (median)
24K
Net rev
$0.1M
B

Rust

2018 · Action

Facepunch Studios · Facepunch Studios

Reviews
1,140,437
Positive
87%
Launch price
$39.99
Engine
n/a
Sales (median)
102.6M
Net rev
$2344.5M

Tag overlap

40% shared , 8 shared tags, 12 only on Backrooms: Extractions, 12 only on Rust.

Only Backrooms: Extractions

HorrorPsychological HorrorSurvival HorrorExplorationAction-AdventurePvEAtmosphericRealisticCasualEscape RoomSci-fiDungeon Crawler

Shared

MultiplayerOnline Co-OpFirst-PersonEarly AccessActionCo-opAdventureIndie

Only Rust

SurvivalCraftingOpen WorldOpen World Survival CraftBuildingPvPSandboxNudityFPSShooterPost-apocalypticSimulation

Sales estimates

Both estimates use the same vv1.0 multi-factor Boxleiter method. Click "How is this calculated?" on either to see the per-factor breakdown.

Sales estimate

vv1.0

15K to 34K

units (median: 24K)

$58K to $136K net revenue (Steam cut + refunds + regional discount applied)

15Kmedian34K

Sales estimate

vv1.0

61.6M to 143.7M

units (median: 102.6M)

$1406.7M to $3282.3M net revenue (Steam cut + refunds + regional discount applied)

61.6Mmedian143.7M

How comparison pages work

Verdicts are objective, they call out which game scores higher on a single measurable axis (reviews, price, sales estimate, recency). They don't claim "better." Tag overlap is computed from the public Steam tag list. Sales estimates use a multi-factor Boxleiter method whose formula is shown in full on each game's page.

Want a comparison that doesn't exist? Browse all games, find two slugs, and concatenate them: /compare/games/<slug-a>/<slug-b>. Both orderings render the same content; we canonicalise to alphabetical for SEO.