(I’ll work in Python, but you could do everything in your environment/language of choice - the hard part is figuring out how to access the data. In this post I compare actual to optimal rosters along with ESPN projections. In a follow-up post, I show how to grab historical player projections and compare to reality. This post is a crash course in what I know about it, enough to hopefully get your feet wet before the 2019 fantasy season crashes in. Here’s a JS API Client and a Python project. Sad.)īut around the interwebs people are figuring out the new “version 3” API. (I wrote three blog posts on the old version and most of it’s now unusable. Then ESPN changed the API earlier this year (2019) and everyone’s code broke. People had figured it out though: there were various libraries, reddit discussions, and blog posts about how to use it to augment your fantasy league season with a little frivolous data science. ESPN has a weirdly undocumented API for interacting with their fantasy sports platforms.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |