For teams_matches tibbles, it can be convenient to see the result as a
structure, rather than using only goals_for and goals_against.
Arguments
- goals_for
integer-ish number of goals for a team in a match.- goals_against
integer-ish number of goals against a team in a match.
Details
This function is vectorized over goals_for and goals_against; they must
have the same length.
Examples
uss_result(3, 2)
#> <ussie_result[1]>
#> [1] W 3-2
uss_get_matches("italy") |>
uss_make_teams_matches() |>
dplyr::mutate(
result = uss_result(goals_for, goals_against),
.after = opponent
)
#> # A tibble: 50,808 × 10
#> country tier season team date at_home opponent result goals_for
#> <chr> <fct> <int> <chr> <date> <lgl> <chr> <uss_> <int>
#> 1 Italy 1 1929 AC Milan 1929-10-06 TRUE Brescia Ca… W 4-1 4
#> 2 Italy 1 1929 AC Milan 1929-10-13 TRUE Modena FC W 1-0 1
#> 3 Italy 1 1929 AC Milan 1929-10-20 FALSE SSC Napoli L 1-2 1
#> 4 Italy 1 1929 AC Milan 1929-10-27 TRUE AS Roma W 3-1 3
#> 5 Italy 1 1929 AC Milan 1929-11-03 FALSE Bologna FC D 1-1 1
#> 6 Italy 1 1929 AC Milan 1929-11-10 TRUE Inter L 1-2 1
#> 7 Italy 1 1929 AC Milan 1929-11-17 FALSE US Livorno L 1-4 1
#> 8 Italy 1 1929 AC Milan 1929-11-24 TRUE Lazio Roma W 2-1 2
#> 9 Italy 1 1929 AC Milan 1929-12-08 FALSE Juventus L 1-3 1
#> 10 Italy 1 1929 AC Milan 1929-12-15 TRUE US Cremone… W 5-2 5
#> # … with 50,798 more rows, and 1 more variable: goals_against <int>