Joris Bekkers

Now live: presentation videos. Find all recorded talks on our Youtube. Link below.

Recorded presentations from the 2026 ASI Summit are now live on YouTube. To see all of the incredible talks from this year's Summit, visit the link below:

www.youtube.com/playlist?lis...

scholar.google.com/citations?vi...

Same thing, but not the direct download link

Not sure it's 100% what you are looking for, but you'll enjoy this by @jessejdavis.bsky.social and @probberechts.bsky.social either way :)

lirias.kuleuven.be/retrieve/727...

Not gonna lie, I checked if they had announced a fifth speaker 😜

⚽Call for Abstracts ⚽

The abstract submission for the Leuven Institute of Sport Science’s #FootballAnalytics Symposium closes this Thursday, Feb 26 @ 17:00 CET

The symposium is on April 23rd. Speakers include @unravelsports.bsky.social and Pascal Bauer (DfB)

www.kuleuven.be/liss/events/...

It will never stop being surreal to me that this was happening in the age of floppy disks and walkie-talkies

⚡ 𝐅𝐀𝐒𝐓𝑭𝑶𝑹𝑾𝑨𝑹𝑫 \\ 𝐑𝐮𝐬𝐭-𝐩𝐨𝐰𝐞𝐫𝐞𝐝 𝐓𝐫𝐚𝐜𝐤𝐢𝐧𝐠 𝐃𝐚𝐭𝐚 𝐋𝐨𝐚𝐝𝐢𝐧𝐠 𝐢𝐧 𝐏𝐲𝐭𝐡𝐨𝐧

𝚙𝚒𝚙 𝚒𝚗𝚜𝚝𝚊𝚕𝚕 𝚏𝚊𝚜𝚝-𝚏𝚘𝚛𝚠𝚊𝚛𝚍-𝚏𝚘𝚘𝚝𝚋𝚊𝚕𝚕

Today I'm 𝐁𝐞𝐭𝐚-releasing 𝐅𝐀𝐒𝐓𝑭𝑶𝑹𝑾𝑨𝑹𝑫. My new Rust-powered football tracking data loader wrapped in a Python package.

Not bad, not bad... 👀

Thank you! Very happy to see this ❤️

⚠️ If you work for a (skeletal) tracking data provider, or have access to tracking data that is currently not supported please send me a DM.

This project owes massively to kloppy, and all the hard work from all its contributors! 🩵

⚡ Please test it out, break it, and report your issues on GitHub.

𝐁𝐞𝐧𝐜𝐡𝐦𝐚𝐫𝐤𝐬: lnkd.in/e3thdCxF

𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧: lnkd.in/e6bAXqi6

𝐆𝐢𝐭𝐇𝐮𝐛: lnkd.in/ecQW64Fv

• Supports wide (each player as multiple columns), long (one row per object) and long_ball (one row per object, ball as columns) layouts
• Borrows Kloppy's clever io functionalities
• Supports the Common Data Format, and 9 data providers

⚡𝐅𝐀𝐒𝐓𝑭𝑶𝑹𝑾𝑨𝑹𝑫
• Loads your tracking data up to 20 times faster.
• Loads your tracking data directly into 5 Polars (or PySpark) dataframes (tracking, teams, players, metadata and periods)
• Transforms coordinate systems, orientations and pitch dimensions

⚡ 𝐅𝐀𝐒𝐓𝑭𝑶𝑹𝑾𝑨𝑹𝑫 \\ 𝐑𝐮𝐬𝐭-𝐩𝐨𝐰𝐞𝐫𝐞𝐝 𝐓𝐫𝐚𝐜𝐤𝐢𝐧𝐠 𝐃𝐚𝐭𝐚 𝐋𝐨𝐚𝐝𝐢𝐧𝐠 𝐢𝐧 𝐏𝐲𝐭𝐡𝐨𝐧

𝚙𝚒𝚙 𝚒𝚗𝚜𝚝𝚊𝚕𝚕 𝚏𝚊𝚜𝚝-𝚏𝚘𝚛𝚠𝚊𝚛𝚍-𝚏𝚘𝚘𝚝𝚋𝚊𝚕𝚕

Today I'm 𝐁𝐞𝐭𝐚-releasing 𝐅𝐀𝐒𝐓𝑭𝑶𝑹𝑾𝑨𝑹𝑫. My new Rust-powered football tracking data loader wrapped in a Python package.

unravelsports.com/post.html?id...

This should work, reworked my site a bit

That's awesome @jessejdavis.bsky.social congrats!!

Really excited to get this project in the public eye. Our mandate at U.S. Soccer is to Grow the Game: lowering the barrier to entry for analysis is the best way we can do that!

Incredible open-source resource from @ussoccer.com and @akeaswaran.me!

⚽Event Announcement⚽

Leuven Institute of Sport Science’s #FootballAnalytics Symposium will take place on April 23!

Current invited speakers are Prof. Pascal Bauer (DFB, USaarland) and @unravelsports.bsky.social

Abstract submission closes on Feb 26 @ 17:00 CET

www.kuleuven.be/liss/events/...

Thanks for compiling this, as always!! ❤️

Ik heb mijn analyse van alle NAC Eredivisie coaches / wedstrijden terug tot de jaren 60 (met behulp van clubelo.com data) in een kleine website gegoten. Zie bovenstaande link.

💛🖤 Het 𝐀𝐯𝐨𝐧𝐝𝐣𝐞 𝐍𝐀𝐂 bestond gisteren 50 jaar!

Om dit te vieren produceerde 𝐍𝐀𝐂 𝐁𝐫𝐞𝐝𝐚 een podcast over dit fenomeen. Ik was te gast om het Avondje NAC in cijfers te duiden.

📎 unravelsports.com/avondje-nac/

Great minds think alike 🥲

Yay for open-source and collaboration! It's so cool to get to contribute to these different projects.

Claude just stochastically parroted me with "But honestly, the easier way is ..."

Oh, how the mighty have fallen 🙃

Bay FC Team Behind the Team: Data & Analytics YouTube video by Bay FC

This is so cool. Shout out to ASA alums and legends @ajbarnold.bsky.social and @arielledror.bsky.social.
www.youtube.com/watch?v=FMcv...

🔷 𝐤𝐥𝐨𝐩𝐩𝐲 𝐯𝟑.𝟏𝟖.𝟎 𝐬𝐩𝐨𝐧𝐬𝐨𝐫𝐞𝐝 𝐛𝐲 𝐈𝐌𝐏𝐄𝐂𝐓

Today marks another big day for football analytics! Together with @impect-official.bsky.social
we release a novel dataset with event data for the 𝟐𝟎𝟐𝟑/𝟐𝟒 𝐆𝐞𝐫𝐦𝐚𝐧 𝐁𝐮𝐧𝐝𝐞𝐬𝐥𝐢𝐠𝐚.

📎 kloppy.pysport.org