This thread is in response to the thread started by @rotologo. It can be seen here https://rotogrinders.com/threads/nba-floors-ceilings-metrics-2112581.
I am posting this separate from his/her original thread because this new thread is soooooooooo long, and out of respect to the OP have chosen NOT to the referenced post.
Because I have too much time on my hands today, I performed the step-by-step analysis I outlined in my response to @rotologo. I did this in R and did it quickly, so any/all errors and omissions are mine and mine alone :)
Importantly, the data below includes ALL regular season games for the NBA 2016/2017 season,excluding the playoffs; and therefore 2017/2018 rookies or players who did NOT play last season are not included.
The “Games” column is only included as a FYI, as it will let you know how large the sample size for each player is.
For methodology and how to apply to your lineups, please refer to my reply to the @rotogl post referenced above.
Importantly Part 2, the original OP requested info about FanDuel only, as such that is what is below. Also IMPORTANTLY, since FanDuel has changed it’s scoring for this season, I re-calculated all the 2016/2017 scoring to be accurate under this year’s (2017/2018) FanDuel scoring rules; i.e., taking last year’s player statistics and applying that to this year’s FanDuel rules.
Finally, you’re really interested (yes, doubtful I know, very few “students of the game” here anymore”, ahhh, the good old days, when even the “sharks” offered their expertise, free of trolling and criticism…. and yes, editorial SARCASM full-intended here) the easiest way to download the data below is to simply copy-and-paste into a text file, and save the text file as a .csv file and open in Excel or any other spreadsheet program you prefer.
For questions, replies please refer to original post as this one is merely a data dump.
Note, if a data value below is “#VALUE!”, that simply means the sample was too small to calculate, so please disregard those players.
+EDIT 2: @sethfein correctly pointed an error in the data the formerly below. I plan re-do to correct the error and may re-post in the next day or so. For now, the data has been deleted. Sorry.