Imo
Hockey prediction is closer to pinball than baseball. Much closer.
Statistical comparison and probabilistic outcomes are not something many of our brains like but the puck is either on edge or flat when the one timer comes through, the goalie perhaps can’t even see that an opponent is shooting, the puck hits a guy in the pants, then a skate and goes in 5 hole.
This is pure chaos.
Compare this to: guy throws his 52nd fastball and guy swings.
One is way easier to model than the other, much more predicable with results that are way easier to measure even in weird ways.
What advanced stats do and are is just a handful of measuring sticks. They attempt to place the same measuring stick on every team, player, and event. They can’t help their job is to define chaos.
The root of your problem is ice hockeys chaotic nature, not the evaluation of it.
Understanding their fundamental source will allow you to recognize them for what they are.
I’d suggest that they’re a great tool that joins others to help describe historic events and predict future ones.
That combined with pre-shot puck movement would almost certainly be the best way to evaluate goaltenders and goal scorers, so it would absolutely be super fun! Just really difficult.Very true. It’s a fun thought though!
You're going to keep pretending save % gives any weight whatsoever to the difficulty of shots faced? By all means, have at it.
Just like ice hockey.Uh pinball is a legit skill where the best players consistently win.
Lmfao, you are all twisted up!You're going to keep pretending save % gives any weight whatsoever to the difficulty of shots faced? By all means, have at it.
But I think I'd rather take a goalie with a .930 sv % over another goalie at .902, even if he faces "tougher shots".![]()
No, in fact, I'm saying exactly the opposite.
Lmfao, you are all twisted up!
Apparently literally 100% of itWhat am I missing here.
What?
You said "You're seriously advocating that we treat all shots in a game as equal and that we should ignore the difficulty that each goaltender faces?", which is exactly how save percentage is calculated.
I replied that a goalie's actual save percentage is far more valuable than "expected shot difficulty" or however you want to call it.
What am I missing here.
Just trying to follow the argument.![]()
Apparently literally 100% of it
The thing about giving up a lot of outside shots is that the other team still has the puck and are the ones dictating play.It might just be my "biased" eye test but I don't always feel like the data matches up with the game. For instance, data says Ducks are being pummeled and the goalies are saving our ass (still happens a lot) but the eye test is that there are a ton of outside shots or shots where there isn't a lot of traffic and goalie picks up shooter right away.
sure but not dangerous by any means.The thing about giving up a lot of outside shots is that the other team still has the puck and are the ones dictating play.
It's always dangerous not having the puck.sure but not dangerous by any means.
I pretty much hate all the"advanced statistics". They're absolutely meaningless. Way too many variables in hockey.
And this kids, is why Connor Hellebuyck has an absurdly high GSAX or whatever abbreviation the spreadsheet jockeys are usingThey are total junk in their current form. A 4th line plug shoveling three successive short range shots directly into a goalie who has the post sealed off at the side of the net is worth something like 10x the xGs of an open Ovechkin cross ice one timer. There's too much noise in a flow game like hockey to have the gall to claim to know how many goals you can expect to score from math.
That isn't to say they're not worth recording or considering, or that the concept isn't worth refining, but they need to be taken as part of a picture. And that part should be around 20% or so IMO.
It happens. I usually look up the stats after the game, sometimes I try to guess what they look like. And sometimes I'm way off. And sometimes I care to take a closer look at why would I had seen it so wrong. And sometimes I just write them off as dumb fancy stats and move on.It might just be my "biased" eye test but I don't always feel like the data matches up with the game. For instance, data says Ducks are being pummeled and the goalies are saving our ass (still happens a lot) but the eye test is that there are a ton of outside shots or shots where there isn't a lot of traffic and goalie picks up shooter right away.
Shots on goal as a predictor is something like 0.10, while expected goals are something like 0.17. If you don't see the value, then that's on you.They’re trying to galaxy brain that non-sense
Expected goals are even simpler than that. You expect to score 1 goal on every 10 shots on goal.
32 shots on goal? Expected goals is 3. Less than that and you got goalied, over that and the goalie played like shit.
Done
The idea is not to accurately represent the events of every individual game. The idea is that over 50 games or so, the overall impression averages to a pretty reasonable result, when the individual errors in expected goals' assumptions form a distribution around the truth.It might just be my "biased" eye test but I don't always feel like the data matches up with the game. For instance, data says Ducks are being pummeled and the goalies are saving our ass (still happens a lot) but the eye test is that there are a ton of outside shots or shots where there isn't a lot of traffic and goalie picks up shooter right away.
I always love the example of some plug taking a bunch of shots in the crease because like, when does that ever happen??They are total junk in their current form. A 4th line plug shoveling three successive short range shots directly into a goalie who has the post sealed off at the side of the net is worth something like 10x the xGs of an open Ovechkin cross ice one timer. There's too much noise in a flow game like hockey to have the gall to claim to know how many goals you can expect to score from math.
That isn't to say they're not worth recording or considering, or that the concept isn't worth refining, but they need to be taken as part of a picture. And that part should be around 20% or so IMO.
Also, it's always a thread when analytics produce a bit of a weird result like this, but there's never any flowers going the other way.People are also quite good at identifying boundary cases with these sorts of metrics (and yes, Chris Dingman taking a shot from the slot won't have the same chance of scoring as Alexander Ovechkin).
Yet they seem to ignore (or say "it doesn't matter") with boundary cases - of which there are far more - on mainstream statistics.
(For evidence, see the "we can assume all shots are of the same quality" discussion earlier in this thread.)
No. Because it assumes everyone is playing at thier best and that every game and every shot in the same quality.It kind of is though, isn't it?
If a goalie enters the game with a .914 save percentage on the season, then the "expected goals" should be 8.6% of the total shot attempts, should it not?
Still the first one, obviously, and hopefully when it comes time to figure out who wins the Vezina we don't have voters sitting around a table ignoring real stats and trying to figure out which goalie stopped the most "premium chances" instead.
The secret is to scream angrily at Google maps when I'm 10 minutes late despite leaving early enough that I should only have been 5 minutes late!
I'm sure that method translates to expected goals models too.![]()