It's the quarter point of the season, so I looked at all the players and how their individual performances stack up in scoring, underlying metrics, value metrics, and microstats!
Any questions, please let me know!!
It's the quarter point of the season, so I looked at all the players and how their individual performances stack up in scoring, underlying metrics, value metrics, and microstats!
Any questions, please let me know!!
3 comments
More proof Barron deserves a shot at the beleaguered 2C spot
so you’re saying give even more ice time to Toews b/c faceoffs are all that matters?
Interesting stuff! Thanks for doing this. I like your work on wShots and wGAR. Corsi may be the ‘industry standard’ in predictive metrics, but it’s always felt a little too…simplistic… like it doesn’t quite capture enough nuance, despite its track record and widespread adoption.
Question about the wGAR chart. I take it that you’ve normalized the values such that the Jets player scores 100%, and all other scores are relative to that?
Also, have you ever considered trying to use some Machine Learning for developing predictive stats? Seems like a ripe area for a Neural Network. Take in all those micro stats and let the computer figure out the weightings. LLMs may be all the rage these days, but a lot of the best work in AI has been done with ML. I’d give it a go myself, but I just don’t have the time or the data science experience.