Another international break, another Wildcard Episode. Today I discuss Game Week 12 Wildcard, walking through several different team structures algorithmically optimized using the FPLOptimiseR package in R. Then I put forth my ideal Wildcard team for GW12, discuss Fixture Difficulty Ratings (FDR), my teamplanner of choice (FaustRPeggi's Team Planner), and another round of anything but FPL.

Join the Discord Server: Link

Google Sheet with all of the data: Link

Link to my Reddit for all of my weekly FPL content: Link

All statistics noted on the podcast were calculated in R with the assistance of the following packages: understatr, fplr, and FPLOptimiseR.

Track: "TOMOLI", T-Pain
Music provided by https://Slip.stream
Free Download/Stream: https://get.slip.stream/gYqcMB
Listen on Spotify: https://go-stream.link/sp-t-pain

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Today go through an indepth planning of GW 12, GW 13 and beyond. Walking through a few different options. Also I introduce a new Discord Server for the podcast and general FPL chat. Come join the coversation here. We can complain about differentials getting lucky and Haaland blanking for the nth time this season. And a return of 'Anything but FPL.'

Google Sheet with all of the data: Link

Link to my Reddit for all of my weekly FPL content: Link

All statistics noted on the podcast were calculated in R with the assistance of the following packages: understatr, fplr, and FPLOptimiseR.

Track: "TOMOLI", T-Pain
Music provided by https://Slip.stream
Free Download/Stream: https://get.slip.stream/gYqcMB
Listen on Spotify: https://go-stream.link/sp-t-pain

Support the show

Today I rank the top 15 attacking FPL assets (Forwards + Midfielders) based on a combination of value added per million (VAPM), VAPM using the underlying data model, explosiveness, captaincy opportunities, predictability, availability, and price gains. Later I discuss my performance from GW10, another good (probably lucky) week, and plans for GW11 and the big GW12.

Google Sheet with all of the data: Link

Link to my Reddit for all of my weekly FPL content: Link

All statistics noted on the podcast were calculated in R with the assistance of the following packages: understatr, fplr, and FPLOptimiseR.

Track: "TOMOLI", T-Pain
Music provided by https://Slip.stream
Free Download/Stream: https://get.slip.stream/gYqcMB
Listen on Spotify: https://go-stream.link/sp-t-pain

Support the show