Papers, Please vs Nancy Drew®: Secrets Can Kill REMASTERED

6/10Match score

Higher community rating

Papers, Please

+18

rating points

More player ratings

Papers, Please

715 ratings

Similarity Breakdown

Same

Game Modes

Similar

Perspective

Similar

Genres

Same

Themes

Different

Features

Shared

Game Modes

Single player

Perspective

First person

Genres

Point-and-clickPuzzle

Themes

Thriller

Key Differences

Perspective

Papers, Please

Text

Nancy Drew®: Secrets Can Kill REMASTERED

Bird view / Isometric

Genres

Papers, Please

IndieSimulator

Nancy Drew®: Secrets Can Kill REMASTERED

Adventure

Features

Papers, Please

life simulationmanagementigf awards1980sdeveloped by one person

Nancy Drew®: Secrets Can Kill REMASTERED

declarative titlescummvm compatiblemurdermurder mysterycrime

Side-by-Side Comparison

FeaturePapers, PleaseNancy Drew®: Secrets Can Kill REMASTERED
Release DateAug 8, 2013Dec 23, 1998
Rating82/100 (715 ratings)64/100 (11 ratings)
Genres
IndiePoint-and-clickPuzzleSimulator
AdventurePoint-and-clickPuzzle
Themes
Thriller
Thriller
Features
life simulationmanagementigf awards1980sdeveloped by one personstory driven8-bitdystopianespionagemoral decisionspixel artnudity
declarative titlescummvm compatiblemurdermurder mysterycrimefemale protagonist
Game Modes
Single player
Single player
Player Perspective
First personText
Bird view / IsometricFirst person
PlatformsAndroid, Linux, Mac, PC (Microsoft Windows), PlayStation Vita, iOSPC (Microsoft Windows)

Comparison Summary

Papers, Please and Nancy Drew®: Secrets Can Kill REMASTERED have a 6/10 match score. Both games overlap around Single player, First person, Point-and-click, Puzzle, Thriller.

Papers, Please stands out for Text, Indie, Simulator, life simulation, while Nancy Drew®: Secrets Can Kill REMASTERED stands out for Bird view / Isometric, Adventure, declarative title, scummvm compatible.

Papers, Please has the higher community rating in the current dataset. Players who enjoy Single player, First person, Point-and-click are the most likely to find value in both.

Continue Exploring