Anyone who displays that much confidence in analytical hockey models just comes of as a fraud to me. It's lazy and lacking in self-critique.
I will not fight Micah on Twitter. I will not fight Micah on Twitter. I will not fight Micah on Twitter.
And I love a lot of what they do, but trying to focus on one game with some of these stats can give you some silly conclusions.These analytics guys will defend their models with their lives. No point in arguing with them, they don't generally even watch the games imo so you're fighting a guy who bases everything on his model and believes it truly is accurate no matter what
Micah especially loves to start stuff
Which is why "Shut up you f***ing nerd" was the appropriate (and also hilarious) response.These analytics guys will defend their models with their lives. No point in arguing with them, they don't generally even watch the games imo so you're fighting a guy who bases everything on his model and believes it truly is accurate no matter what
Micah especially loves to start stuff
I still remember when Heiskanen and Klingberg played together and absolutely dominated, but th rest of the D got caved inMy dream is that at some point during Miro's career we can put a competent player on his right side. Hasn't happened yet, but if it does the Cup likely follows.
Exactly. Especially after just watching the game that featured Colin Miller trying his hardest to run the point and nothing getting done. And the team as a whole appearing to be Bedard-sweepstakes level without him.It's also annoying when someone demands you ignore PP and PK play when evaluating a night's work. Miro played five minutes of specialty teams minutes. He was in the ice for both Stars PP goals (assisted on one) and was on the ice for parts of the PKs the Stars killed off.
Especially ur climate controlling modelsThe biggest problem is that they feel the data is infallible.
Most data f***ing suck and are riddled with errors and poor assumptions.
I mean according to that model, Hanley is better than Heiskanen. Who knew...f***ing hate some of these analytics guys, it's like at my work when managers bring up some data and solely looks at the numbers without any context/reasoning to those numbers.
You can use data to paint any picture you want and depending who interprets in what way could mean two totally different things.
Most data science-types don't understand how to write a cohesive narrative without cherry picking data and trying to be a spinster with numbers.