One wonderful thing you can do with your money is give some of it to me every month, by subscribing to my frankly excellent website, hockeyviz.com/subscribe. This is wonderful in two ways, because I get your money and you get beautiful understanding of hockey. This thread has some details!
Kyle Bland
@blandalytics.pitcherlist.com
Trying to make analytics a little less boring. All takes backed by a colorful chart Dir. of Data Analytics & Research @ https://pitcherlist.com/. He/Him
Working through some base-running valuations. Chandler Simpson leading the league in legging out singles? I'm shocked.
If you haven’t seen it, CJ’s site is *awesome*
ICYMI from the other site. I’ve written about hockey analytics for 15 years. In that time, I always wanted a site that dug into not only IF a player is good, but when, why, and how. Something to help writers and fans tell those stories. 3 months ago I started building it ... and today, it's live!
This, but for me / @pitcherlist.com
If you are a human who pays attention, you already know how sports is a mixture of joy to suffering. With math and a lot of computers, though, you can render both the the joy and the suffering crystalline. If you like that, you should subscribe, and we will both prosper. Here's to a fun season.
If you are a human who pays attention, you already know how sports is a mixture of joy to suffering. With math and a lot of computers, though, you can render both the the joy and the suffering crystalline. If you like that, you should subscribe, and we will both prosper. Here's to a fun season.
i think this needs to be broken up into divisions: - beefcake (the big bois) - boy band (tiger beat looking mfs) - romance novel protagonist (conventionally attractive) - hear me out
who’s the hottest guy in MLB? i’m not an expert in this matters. Is it, like, Julio Rodriguez? Dansby Swanson?
You can do this on any pitcher, pitch type, or outcome you'd like! blandalytics.com/model-drilld...
Seeing that a player has good Stuff is great, but it's important to make a best effort to show *how* a model gets to its outputs and/or *why* the Stuff is good. This allows models to be better interrogated and improved ("Here's why it's wrong" is better than "It's wrong") (8/8)
"Why doesn't he get whiffs if he has good Stuff?" Current models can be opaque in how they get to their conclusions. To combat this, we have developed a process to illustrate how and why a player's pitches are good/bad/neutral, based on our models. (1/8)
A lot of my baseball career has been in analytics but many probably didn’t know I also lead our mental performance group, the psychology and cognition department. This consists of me, several researchers, and coaches who apply our findings back to the players and coaches
Where's the Sentiment-Over-Time chart for Phillies fans and Bryce Harper in the last 15 minutes lol
Just walked through a “House Above Replacement” analysis to my wife for house hunting. If you ever wondered if I can ever “turn off the nerd”, no. No I can’t.
Not just where the release angles are, but how they fit within a pitch mix
If you aren’t on Twitter and haven’t seen Tom’s posts about OpenCommand, now’s your chance! Lots of really cool stuff can come from this project.
this is a really cool article on OpenCommand, and it is completely free to read (not even a basic sub required):