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No, we’re not a data science newsletter. But this edition’s got some pretty interesting stuff for our data-loving readers.
What value ladder games in regard to competitive analysis? In this long-form article, Jack J explains how League of Legends solo queue data can be used for predictive analysis of professional play.
Developers of the coaching platform just made public a huge data set of more than 60k competitive matches. They also open-sourced their Python data science toolkit for everyone to play with.
June 28 — PandaScore will host an event to discuss round winner prediction in CS:GO, modeling uncertainty in esports betting, and engaging traditional sports fans with deep learning. Hybrid event: remote + in-person.
