Inspired by Bloomberg's "Jealously List", I'm threading basketball content I really admired this year produced by some pretty impressive people (🧵⬇️). Lmk what you think!
https://twitter.com/ScottNestler/status/1228047781736124417?s=20 First up is wncaahoopR developed by @ScottNestler , an impressive R package for NCAA Women's basketball data. Check out the README!
https://twitter.com/neilmjohnson/status/1230909688419581952?s=20 Next is the Sloan paper by @neilmjohnson in which he details a reproducible methodology for extracting player tracking data for NCAA Men's basketball from broadcast video https://www.sloansportsconference.com/research-papers/extracting-player-tracking-data-from-video-using-non-stationary-cameras-and-a-combination-of-computer-vision-techniques
https://twitter.com/chuurveg/status/1246223297622077440?s=20 The treatment of foul trouble has always been interesting to me, and @chuurveg knocks it out of the park in this meetup, checkout the paper/thesis as well!
https://twitter.com/Stat_Ron/status/1257862012920647681?s=20 The @OpenSrcSports podcast by @Stat_Ron and @kpelechrinis is really unlike any other with their deep dives on sports research papers
https://twitter.com/avyvar/status/1280688348273623040?s=20 a bit of self-promotion for py_ball, but @avyvar developed a win probability model and integrated it into the py_ball Python package. Look for more from him moving forward đź‘€!
https://twitter.com/WBBTimeline/status/1294386429041287172?s=20 These WNBA player charts developed by the inimitable @fromkurtis for @WBBTimeline give a great snapshot of a player, both on and off the court
https://twitter.com/presidual/status/1334954154574245888?s=20 The @presidual NBA Calendar app is your one-stop shop for any questions related to an NBA team's schedule
https://twitter.com/owenlhjphillips/status/1336681711208370182?s=20 I think any data viz by @owenlhjphillips would make this list, but the NBA Ref Database is a great resource
https://twitter.com/CrumpledJumper/status/1338192786575671297?s=20 And, finally, this @CrumpledJumper viz powered by @bballport's pass tracking data is pretty powerful
There is so much other great content that could've been included here (feel free to reply with others that impressed you this year!). I'm thankful for the great public work being done in basketball from those in the community
You can follow @py_ball_.
Tip: mention @twtextapp on a Twitter thread with the keyword “unroll” to get a link to it.

Latest Threads Unrolled:

By continuing to use the site, you are consenting to the use of cookies as explained in our Cookie Policy to improve your experience.