
The World Next Door
A narrative battler testing fast match-puzzle execution inside real-time combat.
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.
Execution
cheat: Aimbot - perfect inputs
5/10Real-time rune matching under combat pressure needs quick hands
Reads
cheat: Out-predict an adaptive opponent
1/10Story duels are scripted; rare human matches add little
Variance
cheat: See what's hidden / map the RNG
3/10Rune board layouts vary each battle
Optimization
cheat: A perfect solver / coach
6/10Match-efficiency and rune-priority strategy decide fights
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.
Compare with
Similar games
see all →Ranked by shared genre first, then by how closely the cheat-test profile matches - a cross-genre tag means a pick matched on skill profile alone.
cross-genreTom Clancy's Ghost Recon Wildlands
Practiced Mastery · open-world tactical shooter
cross-genreRed Faction: Guerrilla
Practiced Mastery · open-world destruction sandbox
cross-genreTom Clancy's Ghost Recon Breakpoint
Practiced Mastery · open-world tactical shooter
Game details
- Released
- 2019
- Developer
- Rose City Games
- Platforms
- PC, Mac, Switch
- Modes
- Single player, Multiplayer
- IGDB critics
- 64/100
- IGDB users
- 60/100

