My take...Guys that should be on this list:
-- Brock Faber, RHD, MIN: 2% (23%)
-- Jackson Lacombe, LHD, ANA: 3% (53%)
-- Gavin Brindley, W, 2023: 4% (18%)
-- Aidan McDonough, C/W, VAN: 0% (33%)
-- Carter Mazur, W, DET: 0% (32%)
-- Alex Campbell, RW, NSH: 0% (20%)
The goalies are interesting. I'd probably have something like...
-- Tier I: Levi, Perets
-- Tier II: Dobes, Commesso
-- Tier III: Chrona, Mberko, Brady, Portillo
FORMATION
VUE À LONG TERME
INTÉGRÉ
TEXTE INTÉGRÉ
TAILLE DE LA FORMATION
PLAFOND SALARIAL
CAP HIT
EXCÉDENTS
BONIS
ESPACE SOUS LE PLAFOND SALARIAL
23
82 500 000 $
21 850 000 $
0 $
0 $
60 650 000 $
Ailier gauche
Centre
Ailier droit
PHI - Gauthier,Cutter
950 000 $950 000 $
2023 - Fantilli,Adam
950 000 $950 000 $
STL - Snuggerud,Jimmy
950 000 $950 000 $
Undrafted - Wilmer,Jeremy
950 000 $950 000 $
ARI - Cooley,Logan
950 000 $950 000 $
CGY - Coronato,Matthew
950 000 $950 000 $
DAL - Martino,Ayrton
950 000 $950 000 $
CHI - Nazar,Frank
950 000 $950 000 $
FLA - Samoskevich,Mackie
950 000 $950 000 $
TBL - Howard,Isaac
950 000 $950 000 $
CHI - Greene,Ryan
950 000 $950 000 $
2023 - Wood,Matthew
950 000 $950 000 $
Défenseur gaucher
Défenseur droitier
Gardien de but
NJD - Hughes,Luke
950 000 $950 000 $
NSH - Ufko,Ryan
950 000 $950 000 $
NJD - Brady,Cole
950 000 $950 000 $
MTL - Hutson,Lane
950 000 $950 000 $
CAR - Morrow,Scott
950 000 $950 000 $
2023 - Mberko,Kaiden
950 000 $950 000 $
CAR - Fensore,Dom
950 000 $950 000 $
NJD - Casey,Seamus
950 000 $950 000 $
Laissés de côté
Liste des blessés (IR)
Liste des blessés à long terme (LTIR)
WPG - McGroarty,Rutger
950 000 $950 000 $
2023 - Stramel,Charlie
950 000 $950 000 $
ANA - Thrun,Henry
950 000 $950 000 $
Équipe de réserve
FLA - Benning,Michael
950 000 $950 000 $ (0 $$00 $$0)
COL - Behrens,Sean
950 000 $950 000 $ (0 $$00 $$0)
MTL - Farrell,Sean
950 000 $950 000 $ (0 $$00 $$0)
SJS - Lund,Cameron
950 000 $950 000 $ (0 $$00 $$0)
SEA - Jugnauth,Tyson
950 000 $950 000 $ (0 $$00 $$0)
MIN - Peart,Jack
950 000 $950 000 $ (0 $$00 $$0)
TOR - Knies,Matthew
950 000 $950 000 $ (0 $$00 $$0)
CAR - Blake,Jackson
950 000 $950 000 $ (0 $$00 $$0)
2023 - Gustafsson,Lukas
950 000 $950 000 $ (0 $$00 $$0)
NJD - Salminen,Samu
950 000 $950 000 $ (0 $$00 $$0)
CBJ - Ceulemans,Corson
950 000 $950 000 $ (0 $$00 $$0)
Code d'intégration
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Looked up Jeremy Wilmer because thought that was crazy high numbers for an undrafted guy - do these numbers take into account physical attributes or just base it on performance?
Looked up Jeremy Wilmer because thought that was crazy high numbers for an undrafted guy - do these numbers take into account physical attributes or just base it on performance?
Its a probability model, so it takes past and current data, run it all through simulations, and count up the outcomes to determine probability.
Interesting tool and appreciate you sharing some paywalled stuff. Asked about Wilmer cuz he's a little guy (5'6", 155) and wasn't sure if his crazy USHL numbers were doing a lot of the heavy lifting for him there. I love finding those undrafted guys that might develop late and turn into a surprise player down the line.
I become more enamored the more I watch Jackson Blake at UND
I have been bullish on Blake for a couple of years.
Poor guy was barred late from HS hockey his sophomore year, too late to do a split season.
Then joined a ridiculously loaded Chicago team for Junior year and didn't really get big role.
That was it pre-draft.
Finally shinned after being drafted in 4th rd.
If he were six weeks younger, he would have been top-20 pick in 2022.
He is a dynamo.
not sure what the criteria is, but Cole Brady has played 30 games total in 3 years of college and has transferred schools, has over a 3 GAA and a .909 sv%, idk how that gets you the #1 spot on NHL probabilities so im not sure if that site is worth 25$
not sure what the criteria is, but Cole Brady has played 30 games total in 3 years of college and has transferred schools, has over a 3 GAA and a .909 sv%, idk how that gets you the #1 spot on NHL probabilities so im not sure if that site is worth 25$
Not sure how this goalie list ended up like this (I mentioned this in intro). My guess that that he has enough unknown, which allows the model to project more deviation from the norm, and he has more positive outcomes in their simulations.