Simulator

Try out point values on thousands of simulated games. Each simulated player has a random skill at the game itself, at hiding a throw and at reading the room. ‘Sus’ players throw as hard as pays best for them.

Every run uses the same random deals, so differences between runs come from the settings you change.

Game

Point values

Sus

Innocent

Model assumptions

How the simulated players behave. A ‘sus’ player’s throw makes their team more likely to lose and makes them look more ‘sus’, though less so if they are a good actor. Each voter adds their own guesswork to how ‘sus’ everyone looks, then votes for whoever looks most ‘sus’.

Simulation size:

Results

Summary

Deal skew is how far, on average, a player’s chance of winning strays from an even share because of how often they were dealt ‘sus’. Lower is fairer.

Points per round

The average points a player scores in a round, by role.

Sus points per round

Points for	How often	Points

Innocent points per round

Points for	How often	Points

Throwing

One ‘sus’ player throws at a set level while everyone else plays their best. The throw level runs from 0 (not throwing) to 1 (flat out).

Throwing	Team lost	Votes on the sus	Sus points	Innocent points	Correct votes

Who wins

Wins by skill

One player with each skill profile joins random players. Every profile meets the same players and the same deals, so differences come from its skills alone.

Profile	Points per game	Per sus round	Per innocent round	Wins

Wins by times dealt sus

Random players, grouped by how many rounds they were dealt ‘sus’.

Times dealt sus	Share of players	Win rate

What drives scores

Difference	Points per game