So this is basically one huge procrastination/anxiety project. Yes I procrastinate by doing data science projects for fun. No I am not okay.
I’ve been trying to predict IFComp results based on the results of the previous comps. To that end, I’ve collected data from 2018-2020 in order to build a formula. This includes all the information on the review spreadsheet for those years, plus game data such as the play time and whether it’s parser or not, plus the IFDB rating at the end of the comp. I got the data by scraping the ifcomp and ifdb websites: Extract data from ifcomp/ifdb · GitHub. Then I did a multivariable linear regression on the data from 2018-2020 in order to predict the ifcomp rating from the observed variables (see the
2021_predict sheet contains the predictions, sorted in order of predicted rank. Obviously these have no relation to my personal opinions of the games.
I dunno, I just think it’s interesting Maybe there’s other stuff in the spreadsheet that’s interesting too.