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Bankroll Simulation

Source: R/bankroll_plot.R
bankroll_plot.Rd

This function simulates and visualizes a bettors bankroll over a number of bets using their edge.

Usage

bankroll_plot(
  bets = 256,
  win_rate = 0.55,
  bet_size = 100,
  sim_length = 1000,
  avg_odds = -110,
  odds_type = "us",
  current_bet = NULL,
  current_win = NULL
)

Arguments

bets

The number of bets (256)

win_rate

The average expected win rate of the bets (0-1)

bet_size

The dollar amount of each bet. (100)

sim_length

The number of simulations. (1,000)

avg_odds

The average odds of the bets (-110)

odds_type

Type of odds for the output. Possible values are:

  • us, American Odds

  • dec, Decimal Odds

  • frac, Fractional Odds

current_bet

Optional input - Your current total number of tracked bets. (125)

current_win

Optional input - Your current total amount won/loss from your tracked bets. (950)

Value

Plot showing the bankroll results of the simulated bets. The function also outputs the percentage of positive and negative final bankroll over the course of the simulation.

Examples

bankroll_plot(
  bets = 256,
  win_rate = 0.55,
  bet_size = 100,
  sim_length = 1000,
  avg_odds = -110,
  odds_type = "us"
)
#> 
#> Positive Negative 
#>    0.776    0.224 
#> 
#>  Median Profit/Loss = $1,450
#> Warning: The `guide` argument in `scale_*()` cannot be `FALSE`. This was deprecated in
#> ggplot2 3.3.4.
#> ℹ Please use "none" instead.
#> ℹ The deprecated feature was likely used in the bettoR package.
#>   Please report the issue at <https://github.com/papagorgio23/bettoR/issues>.

bankroll_plot(
  sim_length = 500,
  avg_odds = -110,
  win_rate = 0.5455
)
#> 
#> Positive Negative 
#>    0.746    0.254 
#> 
#>  Median Profit/Loss = $1,240

bankroll_plot(
  sim_length = 250,
  avg_odds = -115,
  win_rate = 0.5255,
  current_bet = 100,
  current_win = -500
)
#> 
#> Positive Negative 
#>      0.4      0.6 
#> 
#>  Median Profit/Loss = -$630

bankroll_plot(
  sim_length = 300,
  avg_odds = -109,
  win_rate = 0.57,
  current_bet = 175,
  current_win = 5000
)
#> 
#> Positive Negative 
#>     0.93     0.07 
#> 
#>  Median Profit/Loss = $2,401

bankroll_plot()
#> 
#> Positive Negative 
#>    0.796    0.204 
#> 
#>  Median Profit/Loss = $1,450