jaynay1

In an earlier AMA on the Rockets subreddit, you said, basically outright, that none of the publicly available defensive statistics are worth much. Is this about not having proper inputs, having not really integrated player tracking data? Is the methodology, things like the ridge regression on lineup data, just outdated? Or is defense just difficult to measure such that it basically takes perfect execution on the best existing tools to work? Or would you say that even the teams themselves don't measure it all that well because of how variable schemes can be?

On a separate note, as a Hornets fan, I get all of my food advice from basketball GMs. Can you give me any ideas on good meals to cook or specific tricks?

I'm not Morey, but this is probably because a significant majority of NBA deals are signed with some kind of exception, which places a restriction on the first year of salary, so if the player wants as much money as possible, they have to look for a deal with raises rather than declining salary.

Coincidentally, I wrote an article on this very recently. All-Defense Teams have a significant bias in favor of better offensive players.

I've been looking to end up with a career in data for a couple of years now, but have struggled to both convince people of my programming abilities and to improve on what I do know. What would you say employers in data are looking for in order to indicate that someone really knows how to code in a data setting?

If people didn't actively tell me she was white, I would still be rewatching the video over and over trying to figure out if she was white or a really lightskinned black woman.