Skip to content
indielist (beta)

Hatred vs Terraria

Reviews on Steam

Terraria

49.4× more reviews

Critical reception

Terraria

12.9pp gap

Cheaper at launch

Hatred

$4.00 cheaper

Estimated sales (median)

Terraria

56.0× more units (white-box estimate)

More recent

Hatred

4 years apart

A

Hatred

2015 · Action

Destructive Creations · Destructive Creations

Reviews
24,616
Positive
84%
Launch price
$5.99
Engine
n/a
Sales (median)
1.8M
Net rev
$6.3M
B

Terraria

2011 · Action

Re-Logic · Re-Logic

Reviews
1,216,769
Positive
97%
Launch price
$9.99
Engine
n/a
Sales (median)
103.4M
Net rev
$590.2M

Tag overlap

25% shared , 5 shared tags, 15 only on Hatred, 15 only on Terraria.

Only Hatred

GoreViolentDarkMatureShooterVillain ProtagonistIsometricTwin Stick ShooterPsychological HorrorHorrorTop-Down ShooterDark HumorThird-Person ShooterDifficultDark Fantasy

Shared

ActionIndieSingleplayerOpen WorldSurvival

Only Terraria

Open World Survival CraftSandbox2DMultiplayerAdventurePixel GraphicsCraftingBuildingExplorationCo-opOnline Co-OpRPGReplay ValuePlatformerAtmospheric

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

1.1M to 2.6M

units (median: 1.8M)

$3.8M to $8.8M net revenue (Steam cut + refunds + regional discount applied)

1.1Mmedian2.6M

Sales estimate

vv1.0

62.1M to 144.8M

units (median: 103.4M)

$354.1M to $826.2M net revenue (Steam cut + refunds + regional discount applied)

62.1Mmedian144.8M

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.