Little Nightmares vs Stardew Valley
Reviews on Steam
Stardew Valley
16.8× more reviews
Critical reception
Stardew Valley
3.7pp gap
Cheaper at launch
Stardew Valley
$5.00 cheaper
Estimated sales (median)
Stardew Valley
15.1× more units (white-box estimate)
More recent
Little Nightmares
1 years apart
Little Nightmares
2017 · Adventure
Tarsier Studios · BANDAI NAMCO Entertainment
- Reviews
- 51,668
- Positive
- 95%
- Launch price
- $19.99
- Engine
- n/a
- Sales (median)
- 5.2M
- Net rev
- $59.0M
Stardew Valley
2016 · Indie
- Reviews
- 868,743
- Positive
- 98%
- Launch price
- $14.99
- Engine
- n/a
- Sales (median)
- 78.2M
- Net rev
- $669.5M
Tag overlap
15% shared , 3 shared tags, 17 only on Little Nightmares, 17 only on Stardew Valley.
Only Little Nightmares
HorrorAtmosphericAdventurePuzzle-PlatformerDarkPuzzleStory RichStealthPlatformerPsychological Horror2.5DThird PersonSurvival HorrorFemale ProtagonistShortActionStrategy
Shared
SingleplayerIndieGreat Soundtrack
Only Stardew Valley
Farming SimPixel GraphicsMultiplayerLife SimRPGRelaxingAgricultureSimulationCraftingSandboxBuildingCasualOpen World2DDating SimCuteFishing
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
vv1.03.1M to 7.2M
units (median: 5.2M)
≈ $35.4M to $82.6M net revenue (Steam cut + refunds + regional discount applied)
Sales estimate
vv1.046.9M to 109.5M
units (median: 78.2M)
≈ $401.7M to $937.2M 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.