blackjack

Fully-customizable blackjack simulation.

Setup

Clone the repository and install locally via pip.

pip install .

Usage

Begin by setting up the Blackjack class object with certain house rules.

from blackjack import Blackjack

blackjack = Blackjack(
    min_bet=10,
    max_bet=500,
    s17=True,
    blackjack_payout=1.5,
    max_hands=4,
    double_down=True,
    split_unlike_tens=False,
    double_after_split=False,
    resplit_aces=False,
    insurance=True,
    late_surrender=True,
    dealer_shows_hole_card=False
)

Next, create each player that will be added to the table. There are several different card counting systems (both balanced and unbalanced) available for each CardCounter and BackCounter class instance. Player class instances do not count cards.

from blackjack import Player, CardCounter, BackCounter
from blackjack import CountingStrategy

player1 = Player(
    name='Player 1',
    bankroll=1000,
    min_bet=10
)

player2 = CardCounter(
    name='Player 2',
    bankroll=10000,
    min_bet=10,
    counting_strategy=CountingStrategy.HI_LO,
    bet_ramp={
        1: 15,
        2: 20,
        3: 40,
        4: 50,
        5: 70
    },
    insurance=None
)

player3 = BackCounter(
    name='Player 3',
    bankroll=10000,
    min_bet=10,
    counting_strategy=CountingStrategy.HI_LO,
    bet_ramp={
        1: 15,
        2: 20,
        3: 80,
        4: 120,
        5: 150
    },
    insurance=10,
    partner=player2,
    entry_point=3,
    exit_point=0
)

Finally, add all players and simulate.

blackjack.add_player(player=player1)
blackjack.add_player(player=player2)
blackjack.add_player(player=player3)
blackjack.simulate(penetration=0.75, number_of_shoes=1000, shoe_size=6, seed=1)

Results

Summary statistics are available after each run by using the stats method.

print(player3.stats)

>> Amount wagered: $369,950.00 
>> Hands lost: 1,975 
>> Hands played: 4,097 
>> Amount earned: $3,097.50 
>> Hands won: 1,746 
>> Hands pushed: 376 
>> Insurance amount wagered: $660.00 
>> Insurance amount earned: -$210.00 
>> Total amount earned: $2,887.50 
>> Total amount wagered: $370,610.00 
>> Element of Risk: 0.84% 

If desired, the statistics at each count can be accessed as well.

player3.stats.stats