sufferer
Registered User
- Dec 6, 2017
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He's awesome, as is Matt Tkachuk. Can't wait to them on Olympic ice with Matthews/Eichel.
He'll eventually slow down and have slump, like any other player in the league (most)
Expected Goals (xG) Models ExplainedHere is the list sorted by importance (from Money Puck model):
- Shot Distance From Net
- Time Since Last Game Event
- Shot Type (Slap, Wrist, Backhand, etc)
- Speed From Previous Event
- Shot Angle
- East-West Location on Ice of Last Event Before the Shot
- If Rebound, difference in shot angle divided by time since last shot
- Last Event That Happened Before the Shot (Faceoff, Hit, etc)
- Other team’s # of skaters on ice
- East-West Location on Ice of Shot
- Man Advantage Situation
- Time since current Powerplay started
- Distance From Previous Event
- North-South Location on Ice of Shot
- Shooting on Empty Net
So you're saying that you would rather take Connor McDavid over Zach Hyman? You must be a crazy person.
Sens fan here, just shows how meaningless some of these advanced stats are. Solid player but he isn't dominating games by any stretch of the imagination.
Because I'm seeing a lot of people implying that this shows advanced stats are meaningless and all, I just want to point out that nobody who's competent in their use of analytics would claim that Tkatchuk is on pace to have one of the greatest season in analytics history.
xG, mostly ixG (individual xG), is a measure of central tendency amongst all players, which as stated previously, doesn't take into account for individual shooting talent. Its value lies in that if you were to predict future individual goals scored amongst all players in the league (including players with the highest shooting talents and those with the lowest), you would have better results using both actual individual goals scored and individual expected goals than just actual individual goals.
As with every stat, there is a distribution around central tendencies, with players being below or above by sometimes several standard deviations (if the distribution is assumed to be normal).
Im not anti analytic at all, but the term 'expected goals' always makes me laugh.. Reminds me of the 'hypothetical dollars' from South Park.
It has value, just not on it's own.I make fun of anyone who quotes expected goals. We should have an Expected Stanley Cups.
These stats really aren’t meant to be looked at after 20 games.Tkachuk is ~4 goals goals behind (has scored 6 total goals) of that 10.18 of total expected.
Matthews has scored ~10 goals more (18 total) than his expected 8.09.
Just statistical variation or is there something flawed how these are count?
Shame about the face, though
xG is more or less a measure of quality of scoring chances. Each time a player takes a shot, the number goes up based on the probability of the shot going in. The way they calculate this is by looking at past shots that are similar in location and circumstance (rebound, off the rush)Tkachuk is ~4 goals goals behind (has scored 6 total goals) of that 10.18 of total expected.
Matthews has scored ~10 goals more (18 total) than his expected 8.09.
Just statistical variation or is there something flawed how these are count?
These stats really aren’t meant to be looked at after 20 games.
Tkachuk takes a shit load of shots.
Tkachuk also takes a shit load of shots near the net (banging away).
Of course his analytics will be good. Doesn't mean he's actually as good as they suggest though.
Using this metric blindly can be a lot of fun. Player X can be a monster with a high expected goals but never bury shit.Im not anti analytic at all, but the term 'expected goals' always makes me laugh.. Reminds me of the 'hypothetical dollars' from South Park.