fplscrapR

#rstats package for easy compiling and analysis of Fantasy Premier League (#FPL) data. Created by @wiscostretford

[fplscrapR @fplscrapR]

The #FPL season is LIVE - and so is fplscrapR v0.2.6!

Back for our fourth season.

THREAD with some key info and updates:

#rstats

[fplscrapR @fplscrapR]

Important note: We have marked the fplscrapR repository as archived on GitHub. That means it is read-only, will not be further updated, issues not resolved etc.

Package will still work as usual, as long as there are no structural changes to the FPL API!

https://t.co/zRQ18uOPfV

[fplscrapR @fplscrapR]

The #FPL season is back - and {fplscrapR} is still here!

Please see our pinned thread for key info, what you can do with the package, how to install and more.

Happy coding, and good luck to all!

#rstats

[fplscrapR @fplscrapR]

Data for the 21/22 season is now also available in our historical FPL data library, and of course accessible through the relevant package functions with the 'season = 21' parameter

https://t.co/wgbw5J45r3

[fplscrapR @fplscrapR]

We just pushed a small update to GitHub - updating the get_league() and get_league_entries() functions to no longer require authentication (as this wasn't necessary)

https://t.co/KUxD1puxbq

As ever, re-install with: remotes::install_github("wiscostret/fplscrapR")

[fplscrapR @fplscrapR]

@NeilRankinZA @jameso_12 Very cool stuff!

[Neil Rankin @NeilRankinZA]

@jameso_12 @fplscrapR GW 8 stands out again but also GW17.
GW17 high score seems to be driven by the relative score in GW19 (i.e. two weeks after WCing).
May be just a small sample....

[Neil Rankin @NeilRankinZA]

@jameso_12 Inspired by this and to test @fplscrapR
- drew a sample of 500 teams
- calculated cumulative points relative to average GW points for the GW preceding the WC, the WC GW and the subsequent 2 GWs

[Rebant Malhotra @RebantMalhotra]

Idea credits - @WGTA_FPL
Using @wiscostretford's @fplscrapR

As of end of GW - 21.

[Matia Torbarina @MatiaTorbarina]

Continuing on the previous post, perhaps #fpl community will find this interesting.I have compared my season so far (OR < 600k) with the top 50 players atm... using extraordinary @fplscrapR package. here's what I found...

[Matia Torbarina @MatiaTorbarina]

Dear @alibruceball, I wanted to show that there is some merit to @chris_sutton73's way of fantasyzing. So, I've fired up @fplscrapR and tried to test whether Chris is falling behind @StatmanDave and you solely because of the captain points...

[fplscrapR @fplscrapR]

This is pretty fun. A nice @fplscrapR application by @MatiaTorbarina:

[Matia Torbarina @MatiaTorbarina]

Dear @alibruceball, I wanted to show that there is some merit to @chris_sutton73's way of fantasyzing. So, I've fired up @fplscrapR and tried to test whether Chris is falling behind @StatmanDave and you solely because of the captain points...

[fplscrapR @fplscrapR]

@Hugo_legge I'll probably not be doable short-term but it's definitely on my list (now, anyways) to develop the functions for Draft FPL

[fplscrapR @fplscrapR]

@Hugo_legge Huh. I haven't looked at the Draft API data structure, but with a quick glance, looks like what you're looking for is: https://t.co/1IbaGs1gpt

[fplscrapR @fplscrapR]

@DitteKaas For this season’s data, you only need to run get_player_details(). The ‘season’ parameter is only for historical seasons.

[fplscrapR @fplscrapR]

The #FPL season is LIVE - and so is fplscrapR v0.2.6!

Back for our fourth season.

THREAD with some key info and updates:

#rstats

[fplscrapR @fplscrapR]

@webkowuite There is no new open issue on the github page - that's really the easiest way for us to troubleshoot, if you could open an issue. Seems like a prob with the curl prompts but I can't immediately replicate your issue, and code snips going back and forth on twitter is.. suboptimal

[fplscrapR @fplscrapR]

@webkowuite Hi, I don't see any structural issues with the function, so try to log a minimum reproducible example (https://t.co/gpi2TbAUJb) on the fplscrapR github site and we will see to it asap: https://t.co/2jJOt0tqT1

[fplscrapR @fplscrapR]

@NeilRankinZA Good to hear, thanks!

[fplscrapR @fplscrapR]

MORE INFORMATION is available on the package website: https://t.co/H2SKdgeNTV

And on GitHub: https://t.co/KUxD1puxbq

THANKS, and happy coding!

/ends

https://t.co/KUxD1puxbq

[fplscrapR @fplscrapR]

To update, re-install in R using:

remotes::install_github("wiscostret/fplscrapR")