Suppose we are interested in the top options from '18/19, measured by FPL points per 90 mins (pp90)?
With fplscrapR, we can do that just a few lines of code:
library(fplscrapR) library(dplyr)
df <- get_player_info(season=18) df %>% filter(total_points >= 30) %>% # filtering for players with more than 30 points scored mutate(pp90 = total_points / minutes * 90) %>% # creating the 'pp90' variable select(playername,pp90) %>% # selecting player name and pp90 for our table arrange(-pp90) %>% # ordering (arranging) by pp90 slice(1:20) # showing just the top20
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