Round-robin for football leagues

Description

Posterior predictive probabilities for a football season in a round-robin format

Usage

foot_round_robin(object, data, teams = NULL, output = "both")

Arguments

Details

For Bayesian models fitted via stan_foot the round-robin table is computed according to the simulation from the posterior predictive distribution of future (out-of-sample) matches. The dataset should refer to one or more seasons from a given national football league (Premier League, Serie A, La Liga, etc.).

Value

If output = "both" a list with:

  • round_table: A data frame of matchups (Home, Away), observed scores, and Home_prob (median posterior probability of a home win).

  • round_plot: A ggplot heatmap of home-win probabilities with observed scores overlaid.

If output = "table" or "plot", returns only that component.

Author(s)

Leonardo Egidi legidi@units.it and Roberto Macrì Demartino roberto.macridemartino@deams.units.it

Examples

## Not run: 
if (instantiate::stan_cmdstan_exists()) {
  library(dplyr)

  data("italy")
  italy_1999_2000 <- italy %>%
    dplyr::select(Season, home, visitor, hgoal, vgoal) %>%
    dplyr::filter(Season == "1999" | Season == "2000")

  colnames(italy_1999_2000) <- c("periods", "home_team", "away_team", "home_goals", "away_goals")

  fit <- stan_foot(italy_1999_2000, "double_pois", predict = 45, iter_sampling = 200)

  foot_round_robin(fit, italy_1999_2000)
  foot_round_robin(fit, italy_1999_2000, c("Parma AC", "AS Roma"))
}

## End(Not run)