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indielist (beta)

Papers, Please vs Rust

Reviews on Steam

Rust

15.8× more reviews

Critical reception

Papers, Please

10.4pp gap

Cheaper at launch

Papers, Please

$30.00 cheaper

Estimated sales (median)

Rust

15.0× more units (white-box estimate)

More recent

Rust

5 years apart

A

Papers, Please

2013 · Adventure

Lucas Pope · 3909

Reviews
72,058
Positive
97%
Launch price
$9.99
Engine
n/a
Sales (median)
6.8M
Net rev
$39.1M
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

15% shared , 3 shared tags, 17 only on Papers, Please, 17 only on Rust.

Only Papers, Please

PoliticalPoint & ClickSingleplayerPixel GraphicsDystopian Multiple EndingsPuzzleStory RichRetroAtmospheric2DAddictiveGreat SoundtrackStrategyReplay ValueCasualDifficult

Shared

IndieSimulationAdventure

Only Rust

SurvivalCraftingMultiplayerOpen WorldOpen World Survival CraftBuildingPvPSandboxFirst-PersonActionNudityFPSShooterCo-opOnline Co-OpPost-apocalypticEarly Access

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

4.1M to 9.6M

units (median: 6.8M)

$23.4M to $54.7M net revenue (Steam cut + refunds + regional discount applied)

4.1Mmedian9.6M

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.