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Messing around the @StatsBomb 360 open dataset on Bayer Leverkusen, I tried to create a metric which measures space for a pass upon reception. Feedbacks appreciated!

Excited to introduce 🏀𝐦𝐩𝐥𝐛𝐚𝐬𝐤𝐞𝐭𝐛𝐚𝐥𝐥🏀: SPL's Python plotting library for basketball data! Bring your 2D and 3D visualizations to life with fully customizable courts across the NBA, WNBA, and NCAA, along with complete integration with matplotlib.

Wordalisations: automated explanations of data. It is my great pleasure to announce that Twelve football have created an open-source educational version of our Twelve GPT product. Now you can learn how to create football and other wordalisations! link.medium.com/bxyg1hsxWMb

If you ever wondered if learning Matplotlib is worth your while - check out this list of the tools that build on top of Matplotlib or extend its capability. Translation: Learning it will most certainly pay big dividends as you dive into the wider Python ecosystem. Guaranteed.

Join blue sky, growing every day.

Also Andy Rowlinson on 🦋. I'm only checking DMs here.

Gonna try to legit move all my standard data/graph posts over to the other blue platform Follow me there, same handle 🦋 Will still post here but the graph content will probably be the longer form threads not the “check out this cute graph”/“look at this player event map”

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Finally! 🤯 My app to visualize the shots taken and shots on target in the Copa Libertadores is live. My dataset has over 1,500 records. Take a look and give me feedback. Thanks to mplsoccer_dev for an incredible package. libertadores.streamlit.app