library(readr)
library(dplyr)
opta_club_rankings <- read_csv('https://github.com/tonyelhabr/club-rankings/releases/download/club-rankings/opta-club-rankings.csv')
opta_club_rankings |>
filter(updated_at == max(updated_at))
#> # A tibble: 3,000 × 7
#> rank team rating `ranking change 7 days` date updated_at id
#> <dbl> <chr> <dbl> <dbl> <date> <dttm> <chr>
#> 1 1 Manchester City 100 0 2023-04-30 2023-04-30 10:07:17 a3nyxabgsqlnqfkeg41m6tnpp
#> 2 2 Bayern München 97.2 0 2023-04-30 2023-04-30 10:07:17 apoawtpvac4zqlancmvw4nk4o
#> 3 3 Napoli 95.5 1 2023-04-30 2023-04-30 10:07:17 gi0l1habji5hpgar77dl5jqe
#> 4 4 Real Madrid 95 -1 2023-04-30 2023-04-30 10:07:17 3kq9cckrnlogidldtdie2fkbl
#> 5 5 Liverpool 94 1 2023-04-30 2023-04-30 10:07:17 c8h9bw1l82s06h77xxrelzhur
#> 6 6 Barcelona 93.9 -1 2023-04-30 2023-04-30 10:07:17 agh9ifb2mw3ivjusgedj7c3fe
#> 7 7 Arsenal 93.4 0 2023-04-30 2023-04-30 10:07:17 4dsgumo7d4zupm2ugsvm4zm4d
#> 8 8 PSG 92.5 0 2023-04-30 2023-04-30 10:07:17 2b3mar72yy8d6uvat1ka6tn3r
#> 9 9 Manchester United 92.3 0 2023-04-30 2023-04-30 10:07:17 6eqit8ye8aomdsrrq0hk3v7gh
#> 10 10 Internazionale 92.1 1 2023-04-30 2023-04-30 10:07:17 3vo5mpj7catp66nrwwqiuhuup
#> # … with 2,990 more rows
Created
April 30, 2023 17:28
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