Make a teams-matches tibble — uss_make_teams

This has essentially the same as the matches data; here, a row is returned for every combination of team and match. Thus there are two rows returned for each row in the data_matches tibble: one for each team.

Usage

uss_make_teams_matches(data_matches)

Arguments

data_matches: data.frame created using uss_get_matches() or uss_make_matches()

Value

tibble with columns country, tier, season, team, date, opponent, at_home, goals_for, goals_against; ordered by country, tier, season, team, date.

Examples

uss_get_matches("england") |>
  uss_make_teams_matches() |>
  dplyr::filter(team == "Leeds United") |>
  tail()
#> # A tibble: 6 × 9
#>   country tier  season team  date       at_home opponent goals_for goals_against
#>   <chr>   <fct>  <int> <chr> <date>     <lgl>   <chr>        <int>         <int>
#> 1 England 3       2009 Leed… 2010-04-10 TRUE    Southen…         2             0
#> 2 England 3       2009 Leed… 2010-04-13 FALSE   Carlisl…         3             1
#> 3 England 3       2009 Leed… 2010-04-17 FALSE   Gilling…         2             3
#> 4 England 3       2009 Leed… 2010-04-24 TRUE    Milton …         4             1
#> 5 England 3       2009 Leed… 2010-05-01 FALSE   Charlto…         0             1
#> 6 England 3       2009 Leed… 2010-05-08 TRUE    Bristol…         2             1