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indielist (beta)

Monster Prom vs Phasmophobia

Reviews on Steam

Phasmophobia

47.4× more reviews

Critical reception

Phasmophobia

1.5pp gap

Cheaper at launch

Monster Prom

$8.00 cheaper

Estimated sales (median)

Phasmophobia

47.4× more units (white-box estimate)

More recent

Phasmophobia

2 years apart

A

Monster Prom

2018 · Indie

Beautiful Glitch · Xelu

Reviews
14,279
Positive
93%
Launch price
$11.99
Engine
n/a
Sales (median)
1.1M
Net rev
$7.3M
B

Phasmophobia

2020 · Action

Kinetic Games · Kinetic Games

Reviews
676,967
Positive
95%
Launch price
$19.99
Engine
n/a
Sales (median)
50.8M
Net rev
$579.7M

Tag overlap

20% shared , 4 shared tags, 16 only on Monster Prom, 16 only on Phasmophobia.

Only Monster Prom

Dating SimComedyLGBTQ+Choices MatterVisual NovelFunnySimulationSexual ContentLocal MultiplayerFantasyStory RichVampireNudityZombiesGreat SoundtrackLife Sim

Shared

MultiplayerIndieDemonsOnline Co-Op

Only Phasmophobia

HorrorPsychological HorrorCo-opSupernaturalVRFirst-PersonInvestigationDarkDetectiveMysteryThriller3DEarly AccessActionTacticalSingleplayer

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

643K to 1.5M

units (median: 1.1M)

$4.4M to $10.3M net revenue (Steam cut + refunds + regional discount applied)

643Kmedian1.5M

Sales estimate

vv1.0

30.5M to 71.1M

units (median: 50.8M)

$347.8M to $811.6M net revenue (Steam cut + refunds + regional discount applied)

30.5Mmedian71.1M

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.