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indielist (beta)

Granny: Chapter Two vs Stardew Valley

Reviews on Steam

Stardew Valley

430.9× more reviews

Critical reception

Stardew Valley

3.6pp gap

Cheaper at launch

Granny: Chapter Two

$7.00 cheaper

Estimated sales (median)

Stardew Valley

484.8× more units (white-box estimate)

More recent

Granny: Chapter Two

3 years apart

A

Granny: Chapter Two

2019 · Adventure

DVloper · DVloper

Reviews
2,016
Positive
95%
Launch price
$7.99
Engine
n/a
Sales (median)
161K
Net rev
$0.7M
B

Stardew Valley

2016 · Indie

ConcernedApe · ConcernedApe

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, 14 only on Granny: Chapter Two, 17 only on Stardew Valley.

Only Granny: Chapter Two

AdventureHorrorViolentGoreDarkFirst-PersonStealthSurvival HorrorPuzzleBloodVRFunnyComedyCo-op

Shared

IndieSingleplayerMultiplayer

Only Stardew Valley

Farming SimPixel GraphicsLife SimRPGRelaxingAgricultureSimulationCraftingSandboxBuildingCasualOpen World2DDating SimCuteGreat SoundtrackFishing

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

97K to 226K

units (median: 161K)

$442K to $1.0M net revenue (Steam cut + refunds + regional discount applied)

97Kmedian226K

Sales estimate

vv1.0

46.9M to 109.5M

units (median: 78.2M)

$401.7M to $937.2M net revenue (Steam cut + refunds + regional discount applied)

46.9Mmedian109.5M

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.