Wrapper to fetch either Supercoach or AFL Fantasy (Dream Team) scores from Footywire.
Usage
fetch_scores(type = c("supercoach", "dream_team"), ...)Examples
fetch_scores(type = "supercoach", year = 2025, rounds = 1:3)
#> Fetching "supercoach" 2025 Round 1 ...
#> Fetching "supercoach" 2025 Round 2 ...
#> Fetching "supercoach" 2025 Round 3 ...
#> # A tibble: 1,150 × 10
#> year round rank player team current_salary round_salary round_score
#> <dbl> <int> <int> <chr> <chr> <dbl> <dbl> <dbl>
#> 1 2025 1 1 Josh Dunkley Lions 578000 602300 173
#> 2 2025 1 2 Tom De Koning Blues 388800 547100 148
#> 3 2025 1 3 Bailey Smith Cats 541000 389200 147
#> 4 2025 1 4 Jarrod Witts Suns 518300 581300 144
#> 5 2025 1 5 Dayne Zorko Lions 483900 595100 139
#> 6 2025 1 6 Matt Rowell Suns 679200 550300 137
#> 7 2025 1 7 Noah Anderson Suns 602400 574900 136
#> 8 2025 1 8 Jack Ross Tige… 434300 310400 134
#> 9 2025 1 9 Dan Houston Magp… 380100 575600 132
#> 10 2025 1 10 Max Gawn Demo… 608500 668900 129
#> # ℹ 1,140 more rows
#> # ℹ 2 more variables: round_value <dbl>, injured <lgl>
fetch_scores(type = "dream_team", year = 2025, rounds = 1:3)
#> Fetching "dream_team" 2025 Round 1 ...
#> Fetching "dream_team" 2025 Round 2 ...
#> Fetching "dream_team" 2025 Round 3 ...
#> # A tibble: 1,150 × 10
#> year round rank player team current_salary round_salary round_score
#> <dbl> <int> <int> <chr> <chr> <dbl> <dbl> <dbl>
#> 1 2025 1 1 "Jye Caldwel… Bomb… 1039000 969000 146
#> 2 2025 1 2 "Tom De Koni… Blues 710000 900000 132
#> 3 2025 1 3 "Josh Dunkle… Lions 1071000 1102000 130
#> 4 2025 1 4 "Tristan Xer… Kang… 949000 1175000 129
#> 5 2025 1 5 "Max Gawn" Demo… 1048000 1147000 127
#> 6 2025 1 6 "Bailey Smit… Cats 1088000 598000 126
#> 7 2025 1 6 "Jordan Daws… Crows 1051000 1080000 126
#> 8 2025 1 8 "Jy Simpkin" Kang… 724000 781000 125
#> 9 2025 1 8 "Jake Soligo" Crows 875000 789000 125
#> 10 2025 1 8 "Jarrod Witt… Suns 914000 988000 125
#> # ℹ 1,140 more rows
#> # ℹ 2 more variables: round_value <dbl>, injured <lgl>