Five Nights at Freddy's 2 vs Rust
Reviews on Steam
Rust
48.7× more reviews
Critical reception
Five Nights at Freddy's 2
6.7pp gap
Cheaper at launch
Five Nights at Freddy's 2
$32.00 cheaper
Estimated sales (median)
Rust
51.6× more units (white-box estimate)
More recent
Rust
4 years apart
Five Nights at Freddy's 2
2014 · Indie
- Reviews
- 23,407
- Positive
- 94%
- Launch price
- $7.99
- Engine
- n/a
- Sales (median)
- 2.0M
- Net rev
- $9.1M
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 Five Nights at Freddy's 2, 17 only on Rust.
Only Five Nights at Freddy's 2
HorrorSingleplayerSurvival HorrorRobotsPsychological HorrorDifficultDarkPoint & ClickStrategyAtmosphericStory RichMysteryFast-PacedJump ScareResource ManagementHistoricalPerma Death
Shared
First-PersonIndieSurvival
Only Rust
CraftingMultiplayerOpen WorldOpen World Survival CraftBuildingPvPSandboxAdventureActionNudityFPSShooterCo-opOnline Co-OpPost-apocalypticEarly AccessSimulation
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
vv1.01.2M to 2.8M
units (median: 2.0M)
≈ $5.4M to $12.7M net revenue (Steam cut + refunds + regional discount applied)
Sales estimate
vv1.061.6M to 143.7M
units (median: 102.6M)
≈ $1406.7M to $3282.3M net revenue (Steam cut + refunds + regional discount applied)
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.