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.

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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

This is a part 2 follow-up on the casestudy of stupid mistakes in FPL from last episode (Gameweek 8 to Gameweek 9). I evaluate every iteration of my stupidity and walk through the thought process of each decision. Later I discuss planning for the big Gameweek 12 fixture swing and why I will be moving on from Haaland.

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

Mistakes have been made. It is time to do a deep dive into my mistakes: Why am I making early transfers, and why am I compounding that by taking a (-4) hit? Today's episode is more of a case study in bad decisions and trying to understand the thought process of doubling down on mistakes made early in the season.

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.

Support the show

Over yet another international break I discuss Game Week 8 Wildcard, and how it differs from Game Week 4 WC all within the context of Value Added per Million (VAPM). I turn back to the FPLOptimiseR package in R to examine algorithmically optimized teams. Is threemium in? I also discuss hindsight, and the drawbacks of VAPM, later I review my team and quickly talk through my thought processes.

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.

Support the show

Buckle in, it is a long one today. I discuss performances from every single team in the Premier League so far this season and give my top 3 FPL assests from each team. All stats provided in this episode are updated through game week 7.

Chapters are in! So feel free to jump around to any team you are particularly interested in.

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.

Support the show