CaptBrannigan
Registered User
I don’t think Edmonton is the team I would pick to win 4/7 three times in a row. Especially in postseason hockey against postseason teams.
Cups follow greatness. McDavid and Drai=greatness. Oilers fans should stay humble but hopeful.
Im too lazy to read every page. Is this guy really arguing that Stone is a better player than McDavid?
Are we talking about McDavid vs. Stone here? That would be an extra 50% of Stone’s points. Not 20%Imagine if McDavid focused on his defense instead.. People can argue which player has a bigger impact (an all out offenseive or a offensive/defensive player who puts up maybe 80% of the points). That's fine and all but offense is just valued much higher and those extra 20% of points massively outdo that extra defense at least imo.
Carlson is benefitting from fairly strong on-ice goaltending this season and his goal-based impacts still don’t stack up to other top defensemen. His defensive inferiority to guys like Pietrangelo absolutely does erase the gap in their raw points and then some. Now, back on-topic...
Forwards are not just “there to score points”. Hockey is an extremely dynamic game, and forwards and defensemen all play as a unit of 5. Every player on the ice at all times is there to help their team out-score the opposition.
Over the past couple of seasons, these players aren’t reasonably near each other in their impact on scoring differentials when you adjust for their context.
Have you ever considered that it’s not the stats community who has overblown the importance of defensive play for forwards, but rather the “raw bointz and eye test!” community that has understated the importance of defensive play for forwards, given that points don’t account for defense, and that people’s eye tests generally let them see whatever they want to?
The differentials at all strengths are utterly meaningless because the TOI distribution between these players in terms of PP, PK, and EV are not remotely even. You could literally put me out there exclusively for 5-on-3 and I’d have better all situations differentials than any of them...that’s why you compare apples to apples.
And McDavid wasn't being held back by fairly weak on-ice goaltending when Talbot was letting in stinkers on the first two shots of the game? Seems a bit one-sided to bring that up now. It really doesn't make up for it and then some. Chayka runs a hockey team the same way - Analytics or bust.
Hockey is an extremely dynamic game and everyone plays as a unit - but you constantly post charts that parade the idea of stats that are adjusted for individual impact only. Which is what you used to dump on AA when you claimed that twitter experts model was flawed. So is hockey dynamic and we should take the context of on-ice goal tending and team structure/defense into account, or should we just adjust stats for individual impacts? Or should we just fly by the seat of our pants and do one sometimes and one the other? You can't say McDavid plays with Draisaitl, because you're on record saying he isn't elite. Karlsson is elite, and Stone played a lot of minutes with him. Stone also had some decent on-ice goaltending before Anderson fell off his rocker. Or was Anderson over his head, and it was the trap instilled by Coach Scarface which boosted Stone's defensive metrics?
What context are you adjusting for with stats beside flip flopping from individual metrics to team-based metrics on a whim? How does pulling one scoring environment (5-on-5) equate to less bias when "adjusting" for context (whatever this means), versus all-scoring environments? You may have more noise in all-scoring environments, but it should best account for context, since it takes into account all states of play and the full dynamic of the game. This is where the stats community loses me, because you guys induce bias into your own systems. The stats themselves are not biased, but moving fluidly from one stat to another, one state of play to another, "adjusting for context", creates bias because you determine what you "think" is important at the time. That's not controlled testing, you have manipulated the dataset by "Choosing" what to look at, and then fall back on the guise that stats themselves are not biased. Fairly weak deflection that people don't call the stats community out on enough.
The differentials at 5-on-5 only, are utterly meaningless because of the TOI distribution between these players in terms of linemates, team, and usage - basically just regurgitated back your sentence with some other generalities which you can't corroborate and therefore, cannot question. Seems like a fairly easy way out of an argument without actually saying anything of substance.
I compared apples to apples - all strengths to all strengths and I used rates, which specifically doesn't care about aggregate TOI, because they are stats/60. The stats are there, I didn't create or manipulate them. Sounds like what your saying is that using one singular measure of play - 5-on-5 - is better because it has less data and therefore less actual context. Which translates to - it tells me what I need it to tell me while still obviously having a bunch of white noise, since their 5-0n-5 deployment is not remotely similar, along with their TOI. Based on this new stipulation you have added, you can only compare players which play exclusively on the same line and with no other lines - since then they have the same TOI and distribution of deployment, which is less useful because it means we can no longer compare players which play on different teams.
So I guess we are at an impasse and there is no way to definitively prove that Stone is better or worse than McDavid, since we cannot compare them in any state of play, since they don't meet the bolded requirements for controlled statistical testing. Unless of course you give us your secret methodology for "adjusting the stats for context" - is this proprietary?
A worse defensive team based on stats or results? Nucks score more goals, allow less goals, have a much better goal differential. Advanced stats are used way to much by certain types of fans to a point they trust them more than actual results. The Nucks are and have been dealing with numerous injuries all season yet still have more players with 40 Points and still have a chance to have 6-20 goal scorers possibly 7 if Gaudette gets hot, that's with Ferland only playing 14 games. I will take Marky-Demko over Smith-Kosko and a top 4 of Tanev-Hughes-Edler-Myers over any top 4 of the Oilers.Weird you use your reason as defense wins championships and then choose Vancouver, a worse defensive team than Edmonton over them.
A team with 97 AA and possibly the best 2nd line in hockey can win any series. The real question is how often do the Oilers actually lose in the first round when they get there? ....hardly ever ! They are not exactly the Flames or Nucks in that regard....
I'm sorry but if you honestly can't see the difference between comparing on-ice differentials at 5-on-5, and at all situations for players whose minutes are significantly different in terms of what percentage of ice time they play on special teams, I don't know what to tell you. If you separate PP differentials, EV differentials, and SH differentials, I'm pretty sure Stone comes well ahead. What you are literally showing here is that McDavid/Drai play a larger percentage of their time on the PP and a smaller percentage of their time on the PK. Again, if you honestly can't understand that concept, you are just not worth responding to.
However, because I don't want to be nebulous, I will show you the results of a few models that do adjust for context etc. as I have talked about them without showing them. These are not proprietary but their creators both put their stuff behind a Patreon subscription, which really bothers me, but I digress.
Goals above replacement and expected goals above replacement over the past 3 seasons:
View attachment 327243
Stone tops both of them over the past 3 seasons in goals above replacement, despite playing far fewer minutes and games than either. In addition, Stone is trending upward in GAR; he's well ahead of both if you exclude the 2017-2018 season, which is the furthest from today. (Stone is ahead in just the 2019-2020 season as well)
View attachment 327245
In expected goals above replacement, Stone is just behind McDavid in the 3-year sample despite playing far fewer minutes:.
View attachment 327261
He's also well ahead of McDavid, Draisaitl, and every other player in the league over a 2-year sample:
View attachment 327263
If you looked at something like the 3-year sample with different weights put on each season, you'd find Stone well ahead.
Here is Evolving Hockey's RAPM:
View attachment 327253
View attachment 327255
View attachment 327257
As you can see here, Stone is not as good at either player as driving goals even at EV, but after adjusting for teammates, ice time, etc., he is much closer than raw points would lead you to believe. On the PP, he's notably behind both players as well. However, the even strength defense is by far the biggest gap here.
And since you asked for it, here's Micah McCurdy's model:
I've gone into detail on my issues with McCurdy's model - namely that the median forward impact is so far above 0% on both sides of the puck, and that players can influence goals for in manners that don't involve individually shooting the puck or influencing shot location. However, here are the results of his model, since you asked:
Yet again, Stone well ahead of both.
So yeah, there you have it. Every "catch-all" metric that we have today, available to the public, has Stone on par with or ahead of McDavid in a 3-year sample, and significantly ahead of McDavid in a 2-year sample or in a 3-year sample if a higher weight is placed on the more recent seasons. These all adjust for context such as teammates, competition, zone/score usage, scheduling, etc. and they all have Stone well ahead.
No one can say we're not efficient lolVery good observation. You’re right. The Oilers are very good in the playoffs. Every time they made it they have gone far!