Machine learning background here, new-ish to the poker scene. Was listening to Negreanu on Lex Fridman's podcast & was surprised to hear that live poker statistics/databases are relatively underdeveloped.

I've been messing around with a computer vision model to capture a frame-by-frame output of YouTube livestreams (pics attached) + while a bit buggy, it's doing the trick.

I created a spreadsheet capturing all 213 hands of an HCL livestream that I'm linking here. Once this frame-by-frame data is captured, creating statistics / tendencies is relatively simple.

https://docs.google.com/spreadsheets...gid=1704019642

Feel confident I can get this to production ready & running on many different livestreams. Feel free to reach at pokercomputervision@gmail.com if interested in using this for professional purposes!