simulate_bets: Simulate Bets

In neilcuz/panenkar: Panenkar

Description

Simulate advantage bets

Usage

simulate_bets(
  probs,
  odds,
  outcomes,
  closing_odds = NA,
  min_advantage = 0.05,
  start_bank = 100,
  stake = 1,
  max_odds = NA,
  bet_placement_matrix = NA,
  season_ids = NA
)

Arguments

probs	Tibble, data.frame or matrix of estimated match probabilities. Columns are outcomes, rows are matches.
odds	Tibble, data.frame or matrix of bookmakers odds. Columns are outcomes, rows are matches.
outcomes	Factor, the levels of which correspond to a column in probs and odds. They must all be ordered in the same way.
closing_odds	Tibble, data.frame or matrix of bookmakers odds. These are the odds at close and not necessarily bet on. These are used to check the closing line value (CLV) of the bets made.
min_advantage	Minimum advantage needed before a bet is placed. Default: 0.1.
start_bank	Starting bankroll units. Default: 100.
stake	Stake to place per bet. Default: 1.
max_odds	Maximum odds which a bet is placed it. You might limit odds to lower variance. Default: 5.
.seed	set a seed, good for testing the sampling in the CLV part or to get reproducible CLV stats

Details

DETAILS

Value

A list of betting statistics.

Examples

probs <- matrix(runif(9), nrow = 3)
odds <- matrix(runif(9, min = 1, max = 25), nrow = 3)
outcomes <- factor(sample(c("home", "draw", "away"), size = 9, replace = TRUE), levels = c("home", "draw", "away"))

betting_stats <- simulate_bets(probs, odds, outcomes)

neilcuz/panenkar documentation built on June 19, 2021, 7:31 p.m.