Today I talk through suggested players for Wild Card Game Week 6 using Value Added per Million (VAPM), use the FPLOptimiseR package in R to examine algorithmically optimized teams, review my team from Game Week 5 and quickly discuss transfers and plans moving forward.

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.

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Today make a weak defense of the game week 4 wild card, and why it may not have been such a bad idea. I discuss variance and try to make sense of the incredibly weird week in FPL just past. Later I review my team's performance and plan ahead for game week 5, 6 and beyond.

Also side note - I am a complete idiot for trying to do simple math in my head. I now know the average of 110 and 36 is 73, not 74, lol.

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

Today I take wild cards for game week 4 a step further and use algorimic optimization using the FPLOptimiseR package in R. Looking ahead to this weekend I discuss a captaincy deep dive to compare Salah and Haaland by examining their underlying stats with their upcoming fixtures against Forest and Brentford respectively.

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