Police Stories cover art

Police Stories

Procedural room-clearing where randomised suspects punish sloppy doctrine and slow aim.

Here's the argument for where this game sits - disagree freely.
Match your experience?
EXECUTION6 /10READS0 /10VARIANCE6 /10OPTIMIZATION6 /10

the cheat-test profile

The four axes - the argument

Each axis is rated on its own - how far one cheat would trivialize the game here. They don't trade off; low on all four means the game is an experience, not a contest.

  1. Execution

    cheat: Aimbot - perfect inputs

    6/10

    Snap aim and door-breach timing decide split-second encounters

  2. Reads

    cheat: Out-predict an adaptive opponent

    0/10

    Suspect AI is randomised, not adaptively modelling you

  3. Variance

    cheat: See what's hidden / map the RNG

    6/10

    Suspect placement and compliance rolls differ every attempt

  4. Optimization

    cheat: A perfect solver / coach

    6/10

    Room-clearing procedure and tool usage converge to doctrine

How to read this

Each axis is named by the cheat that would break the game along it. Execution is the hands. Reads is out-thinking an adaptive opponent. Variance is hidden information & RNG. Optimization is the solvable systems layer. A game's region is the top one or two axes.

These four aren't one rating split four ways - they're independent 0-10 questions. A 9 on one axis takes nothing from the others, and a game low on all four isn't missing data: it's telling you there's no skill here to cheat.

The basis is how the majority actually plays this game - not a niche mode or a personal run. For a game with very different modes (a story campaign versus ranked multiplayer), that's the version most people mean.

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Game details

Released
2019
Developer
Morgan Games
Platforms
PS4, Linux, PC, Mac, XONE, Switch
Modes
Single player, Multiplayer, Co-operative
IGDB critics
70/100
IGDB users
56/100
ShooterSimulatorStrategyTacticalIndieArcadeActionStealth