Hello there,

This is the big day—thanks for subscribing. I loved writing this, I hope you’ll like reading it too.

This week started with coaches’s comments on the access to data disparity between ERLs* teams. LEC Analyst Flora “Arailla” Parmentier later opened up on the state of data availability in the ecosystem. She cited Leaguepedia’s API and Factor.gg as viable solutions for teams lacking access.

A week before, Upcomer published a feature on statistics in LoL with a focus on data analysis in teams. What stood out to me was the secrecy around data retrieval, parsing, and analysis. Interviewee Gary “Tolki” Mialaret notably pointed at it as hindering the field’s growth.

Around the same time, Evil Geniuses released v2 of Factor.gg. Thanks to support for more local leagues, this helps bridging the gap in ERLs. Through the platform’s Discord community, EG is also approaching analysis more openly. Here’s hoping this furthers the tech discussion in the industry.

👉 Read more: Vitality’s Head Analyst lifts misconception about the role

awpy is a Python package for parsing, analyzing and visualizing CS:GO data. The battle-tested Go demo parser powers the library. Plus, it has the best esports lib name out there. What’s not to like?

👉 Read the announcement (check out the showcases!)

👉 Jump to the docs

BLAST celebrates the return to LAN: Ready Up - A CS:GO documentary

🤯 Something interesting

Google Sheets wizardry meets Wordle: Excel-based Wordle

🌱 Something to think about

Is there always safety in numbers? Read on social proof & decision-making.

🤗 Something from me

A compilation of open-source esports projects. #30EsportsRepos, a thread.

And that’s it! I’ll see you in two weeks.

Hit reply to let me know what you think! 👇