• Moderators, please send me a PM if you are unable to access mod permissions. Thanks, Habsy.

Leafs' Prospect/Marlies Discussion Thread!

comfortably top-10 over the last 5 years (i.e. since age 21). Top-5 in more than one of those years

may have slipped out of the top-10 this year for the first time, but probably still top-15.

(amongst dmen of a significant minutes minimum, of course).
I'll take your word for it.

It would still not make up more than half the ice time.
 
defenwick is more like hdcf than xg.

you gotta stop making things up.

Natural Stat Trick numbers with puckIQ's dfa/60 placed in order of frequency:

Rielly 60.2ca/60, 47.5fa/60, 43.9dfa/60, 34.4sa/60, 28.3sca/60, 11.1hdca/60

It's nothing like hdca.

It's their version of xgf%, but they don't translate it into a goals-per-60 scale like is done with xgf.
 
xg measures shot location, right? Fenwick measures unblocked shots. Dangerous fenwick presumably measures dangerous unblocked shots. HDSC measure high danger scoring chances.
 
I get the following toi% for weak comp …

Dermott: 39.1
Barrie: 36.8
Holl: 31.4
Muzzin: 29.7
Ceci: 28.5
Rielly: 25.6

These differences look big on a chart that has a scale axis starting at 25% and goes up only 20 points, but this is much like elite toi% in terms of deployment differential – a few points between Rielly and the other top four (albeit slightly more than for elite toi%).
Here's Rielly's gritty toi% -- 3.8 points less than the least on the top four (Holll).
 
Again, I ask you to share this calculation.

the calculation I used above.

simply average out the performances against each type of competetion, which in effect pretends they all get equal ice time against each category and thus automatically evens out usage for all players

(note: this is simply a counter to your assertion that it is only a "minor" impact. I don't want this to be taken as if I believe the puckIQ qoc numbers are all that perfect or sufficient - or that these 1yr or partial year stats should be used alone like this in the first place.)
 
the calculation I used above.

simply average out the performances against each type of competetion, which in effect pretends they all get equal ice time against each category and thus automatically evens out usage for all players

So, using this method, Rielly goes from 52.3% to 53.5%. That's an increase of 1.2 points or 2.3%.

It's pretty much exactly what I'd expect from the toi% numbers. Pretty minor stuff.
 
So, using this method, Rielly goes from 52.3% to 53.5%. That's an increase of 1.2 points or 2.3%.

It's pretty much exactly what I'd expect from the toi% numbers. Pretty minor stuff.
[/QUOTE]

yep, from 52.3% to 53.5%, from +0.7rel to +2.1rel.

if you're calling that minor, then you're calling all analytics differences minor.
 
I had it all nice in context showing how that "minor" difference leapfrogged him from comfortably behind Muzzin to comfortably ahead of him.

but hey keep saying "minor". I think I'm done.
 
Back
Top