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Coffee Talk vs Stardew Valley

Reviews on Steam

Stardew Valley

70.4× more reviews

Critical reception

Stardew Valley

3.7pp gap

Cheaper at launch

Coffee Talk

$2.00 cheaper

Estimated sales (median)

Stardew Valley

74.6× more units (white-box estimate)

More recent

Coffee Talk

4 years apart

A

Coffee Talk

2020 · Adventure

Toge Productions · Toge Productions

Reviews
12,334
Positive
95%
Launch price
$12.99
Engine
n/a
Sales (median)
1.0M
Net rev
$7.8M
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

35% shared , 7 shared tags, 13 only on Coffee Talk, 13 only on Stardew Valley.

Only Coffee Talk

ConversationVisual NovelAtmosphericStory RichInteractive FictionLGBTQ+Choices MatterMultiple EndingsEmotionalAnimeFantasyPhilosophicalExperimental

Shared

Pixel GraphicsRelaxingCasualSingleplayerSimulationIndieCrafting

Only Stardew Valley

Farming SimMultiplayerLife SimRPGAgricultureSandboxBuildingOpen 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

629K to 1.5M

units (median: 1.0M)

≈ $4.7M to $10.9M net revenue (Steam cut + refunds + regional discount applied)

629Kmedian1.5M

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.