Lord Defect
Secretary of Blowtorching
- Joined
- Nov 13, 2013
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This is totally a re-enactment of target tori.
This is totally a re-enactment of target tori.
Ah yes the stats you used wrong.
It's amazing. You spend post after post whining about people taking a single stat and using it definitively, and then do the exact same thing.
What you've failed to observe is all the people who combine many stats and pair it with usage and attempted honest observation.
Ah, my bad. I thought you used a different stat.
Philadelphia Flyers (7-3-1)
F: Sean Couturier, Claude Giroux, Travis Konecny, Kevin Hayes, Nolan Patrick, Oskar Lindblom, Jakub Voracek
D: Ivan Provorov, Travis Sanheim, Philippe Myers
G: Carter Hart
if Gostisbehere were available and maybe the best option for power-play QB (next to Subban), then Seattle could go in that direction. Or, on a team that figures to be desperately short of natural scorers, select Voracek or van Riemsdyk. Tough call today – though there could be further clarity by June 2021.
Congrats on proving nothing. Keep up the hypocrisy of shrieking at people for allegedly using one or two stats while you make sweeping generalizations with one or two stats.
I understand that all you can do is throw a tantrum now that you've been called out. I forgive you.
Corsi is a very predictive stat at the team level and at the individual level.
Predictive of what? The regression models I've seen have shown that Corsi has a weak r2 in relation to a team's performance (pts), and as a result has a weak predictive value on team performance.
There is more predictive value at the individual level (statistically significant).
predictive of future shot attempt differential and goal scoring. You’re right though, It’s a little more pronounced at the individual level than at the team level.
Predictive of what? The regression models I've seen have shown that Corsi has a weak r2 in relation to a team's performance (pts), and as a result has a weak predictive value on team performance.
There is more predictive value at the individual level (statistically significant).
Goal-based Metrics Better Than Shot-based Metrics at Predicting Hockey SuccessCorsi is a very predictive stat at the team level and at the individual level.
Anyways, EvolvingWild’s Regularized Adjusted Plus-Minus (RAPM) does as good a job as any metric to measure skater performance via: GF/60, xGF/60, CF/60, xGA/60, & CA/60 (at Even-Strength primarily):
View attachment 313225
Full article explaining this metric: Reviving Regularized Adjusted Plus-Minus for Hockey
Even-Strength RAPM in Chart form below:
View attachment 313227
HockeyViz’s isolated shot impact Viz’s are pretty interesting as well:
View attachment 313231
Explained in detail here: Model Description: Magnus 2
- All that orange in Hagg’s PK isolated shot suppression chart throughout the entirety of the slot is the stuff of nightmares.
Hagg is still very much a net-negative player via shot-attempt generation & suppression.
Goal-based Metrics Better Than Shot-based Metrics at Predicting Hockey Success
Interesting read, though his analysis is retrospective & doesn’t necessarily prove “predictive.”
I agree with all of this.This is a prime example of "data mining," run a bunch of different models and see which ones generate good t-stats.
Problem is that if you are going by the book, each successive model has to incorporate the previous models in determining the significance of its results.
Any large enough data set, if you throw enough different functional forms at it, will generate "significant results."
Which is why results from "Big Data" are often just spurious correlations, give me enough astrological models and I'll find one that predicts stock market prices.
Goal based models should predict success for obvious reasons.
Shot based models will also predict success for similar reasons.
The key is teasing out which factors are significant and robust, and to understand the mechanics behind the prediction - is it shots that matter, quality of shots, defensive strategy (lots of shots without players setting screens have less value, how do you measure goalie visibility?). What kind of shots generate rebounds against what defensive schemes and what goalies? And so on.
Maybe when people disagree with you, they're not lying.
Maybe they're just smarter and more experienced than a 26 year old kid with no statistical background.
And never played hockey
And doesnt do 284.574 squats a day