Poker equity simulation by monte carlo

Poker Equity Simulation by Monte Carlo

As a tech professional using TypeScript, you may often come across the need to simulate poker equity using the Monte Carlo method. In this blog post, we will explore how to accomplish this task and provide you with multiple solutions to choose from. Let’s dive in!

Solution 1: Using a Deck of Cards Library

One way to simulate poker equity is by utilizing a deck of cards library. This approach allows you to easily generate random hands and evaluate their equity. Here’s an example using the deck-of-cards library:

// Install the deck-of-cards library
npm install deck-of-cards

// Import the necessary modules
import { Deck } from 'deck-of-cards';

// Create a new deck
const deck = new Deck();

// Shuffle the deck
deck.shuffleAll();

// Deal two random hands
const hand1 = deck.draw(2);
const hand2 = deck.draw(2);

// Simulate the remaining community cards
const communityCards = deck.draw(5);

// Evaluate the equity of the hands
const equity1 = evaluateEquity(hand1, communityCards);
const equity2 = evaluateEquity(hand2, communityCards);

// Output the results
console.log('Hand 1 Equity:', equity1);
console.log('Hand 2 Equity:', equity2);

// Function to evaluate equity
function evaluateEquity(hand, communityCards) {
  // Perform equity calculations
  // ...
  return equity;
}

This solution utilizes the deck-of-cards library to create a deck, shuffle it, and deal random hands. The evaluateEquity function can then be used to evaluate the equity of each hand given the community cards.

Solution 2: Implementing a Custom Deck

If you prefer a more customized approach, you can implement your own deck of cards and simulate poker equity. Here’s an example:

// Define the card suits and ranks
const suits = ['♠', '♥', '♦', '♣'];
const ranks = ['A', '2', '3', '4', '5', '6', '7', '8', '9', '10', 'J', 'Q', 'K'];

// Create a deck of cards
const deck = [];

// Generate the deck
for (const suit of suits) {
  for (const rank of ranks) {
    deck.push(`${rank}${suit}`);
  }
}

// Shuffle the deck
shuffle(deck);

// Deal two random hands
const hand1 = [deck.pop(), deck.pop()];
const hand2 = [deck.pop(), deck.pop()];

// Simulate the remaining community cards
const communityCards = [deck.pop(), deck.pop(), deck.pop(), deck.pop(), deck.pop()];

// Evaluate the equity of the hands
const equity1 = evaluateEquity(hand1, communityCards);
const equity2 = evaluateEquity(hand2, communityCards);

// Output the results
console.log('Hand 1 Equity:', equity1);
console.log('Hand 2 Equity:', equity2);

// Function to shuffle the deck
function shuffle(deck) {
  // Perform deck shuffling
  // ...
}

// Function to evaluate equity
function evaluateEquity(hand, communityCards) {
  // Perform equity calculations
  // ...
  return equity;
}

This solution demonstrates how to implement a custom deck of cards using arrays. The shuffle function shuffles the deck, and the evaluateEquity function can be used to evaluate the equity of each hand given the community cards.

With these solutions, you can easily simulate poker equity using the Monte Carlo method in TypeScript. Choose the approach that best suits your needs and start simulating!

Happy coding!

Poker equity simulation by monte carlo