In wiscostret/fplscrapR: Easy compiling of Fantasy Premier League data in R

Suppose now we are interested in creating a simple overview of FPL fixtures? Again, we take the first 25 gameweeks of the season as an example.

First we fetch the full fixture list using get_game_list:

library(fplscrapR)

gamelist <- get_game_list()

FPL only lists the fixtures once, as HOME-AWAY, but we need both HOME-AWAY and AWAY-HOME to plot the full fixture table. We need to plot every fixture twice, once as a home game for the one team, and once as an away game for the other team.

Using R base's rbind and dplyr's mutate (creating new variables) we essentially just duplicate the fixture table:

library(dplyr)

allfixtures <- rbind(
  gamelist %>% mutate(team=home,oppo=away,homeaway="home"),
  gamelist %>% mutate(team=away,oppo=tolower(home),homeaway="away"))

Next we use dplyr and ggplot2 to transform and plot the data, ranking the teams by FPL points allowed:

library(ggplot2)

allfixtures %>% 
  filter(GW %in% 1:25) %>% # filtering for the gameweeks we are interested in
    ggplot() +
      geom_tile(aes(x=GW,y=team),fill="white",colour="lightgrey") +
      geom_text(aes(x=GW,y=team,label=oppo),size=2) +
      theme_void() +
      theme(axis.text = element_text(face = "bold")) +
      theme(axis.text.y = element_text(margin=margin(0,-20,0,0))) + # fixing the margins on the tile
      scale_x_continuous(position="top",breaks=1:25) +
      labs(caption=paste("Data from fplscrapR | ",Sys.Date(),sep=""))