The wavy arrow can also be used for normal matplotlib plots

Tried out the NHL's ice image with the hockey-rink package. Might have to include that as an option.

Had to look up at least one

Seems fitting that I'm doing this within a day of BDB data being released

Here's the code I used. A couple notes:
1) Coordinates are image coords, not plotting (need to flip the y-axis).
2) The id column is, presumably, used to identify separate shifts for players (don't need to track them on the bench). Not as useful when all we have are goals.

Thanks to @nguyenank.bsky.social for the SVG size (2400x1020)

For a bit of fun, I tried out some Bayesian RAPM

New version of the rink package is up. Improved the binning code and fixed an issue with hexbin.

github.com/the-bucketle...

New version of the rink package is up. Improved the binning code and fixed an issue with hexbin.

github.com/the-bucketle...

Feel like I should put some PWHL fun here as well, so here's goal locations by team

Feel like I should put some PWHL fun here as well, so here's goal locations by team

Not what I was looking for, but ghosts on the field are fun too
(the sky really needs some videos/gifs)

Time for my new annual hobby: finding plays in the BDB data that track the wrong ball

Playing around a bit with the data from the new NHL API. I built a model for last season's shooting/goalie talent and the list of the worst shooters includes a couple 30 goal scorers, a former 40 goal scorer, and a couple other fun names.

When using the rink package with larger figures, you can set linewidth to 0 to get a little finer detail on the rink