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Get probablilites, odds, and win expectations for holdem hands

Project description

holdem_sim

Get probablilites, odds, and win expectations for holdem hands

Installation

$ pip install holdem_sim

Usage

Holdem Percentage Odds and Ratios Calculator

Command line application (for now). There are two flows:

  • Single Player Monte Carlo Simulation
  • Multiplayer Win Expectancy

Single Player Monte Carlo Simulation

Tell the application your hole cards and board as flop, turn, and river. The application will run 100,000 simulations of that hand and return the percentage and odds of improving to any poker hand.

Usage

python holdem.py -c Rs Rs -f Rs Rs Rs -t Rs Rs -r Rs where Rs stands for Rank and suit of a card.

Card ranks must be 2-9, T, J, K, Q, A. Ranks are case sensitive. Suits are c, d, h, s. Suits are case sensitive.

-c is the flag for your hole cards and to indicate Single Player mode. These must be separated by a space.

-f or --flop is the optional flag for flop. Three cards separated by a space.

-t or --turn is the optional flag for turn. One card.

-r or --river is the optional flag for river. One card.

Sample Output

image

Multiplayer Win Expectancy

Tell the application your hole cards and board (as flop, turn, and river) and total number of players in the hand.

-m is the flag to indicate multiplayer mode. The hero's hole cards (2) are required arguments.

-p or --players is the flag to indicate the total number of players in the hand. This is a required argument, maximum of 6 players.

--two through --six are optional flags to indicate the hands of players other than the hero. 2 cards each.

Returns win expectancy for the hero.

Contributing

Interested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.

License

holdem_sim was created by Jay Cohen. It is licensed under the terms of the MIT license.

Credits

holdem_sim was created with cookiecutter and the py-pkgs-cookiecutter template.

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