Using Monte Carlo simulation to approximate the probability distribution for the outcome of a Texas hold'em game.
$ npm install holdem-simulator
The function accepts two arrays - the hand being evaluated and the cards on the table (if any). You can also specify the number of players (2 by default) and the sample size (10000 by default).
const hand = 'as' 'ac';const table = 'ad' '2d' '7s';const players = 2;;// => [0.9544, 0.0456, 0]
The returned array represents the estimated probability distribution. The elements are the probabilities of winning the pot, losing the pot and splitting the pot, respectively.