|
|
League | Difficulty | N |
AHL | 0.44 | 384 |
IHL | 0.43 | 113 |
We can improve this estimate by considering only even-strength goals:
71 Players | PPG | ESG/G |
AHL 2002-03 | 0.83 | 0.20 |
NHL 2003-04 | 0.34 | 0.11 |
Ratio | 0.41 | 0.54 |
European players did not enter the NHL on a large-scale until the early 1990s:
League | Difficulty | N |
Russian Elite League | 0.83 | 101 |
Swedish Elite League | 0.78 | 77 |
Czech Republic League | 0.74 | 53 |
Finland SM-Liiga | 0.54 | 76 |
Deutsche Eishockey League | 0.52 | 74 |
Switzerland National League | 0.43 | 30 |
Team | WPCT |
Russia/CIS/USSR | 0.649 |
Sweden | 0.540 |
Czech Republic | 0.478 |
Finland | 0.305 |
Germany | 0.144 |
Canada | 0.681 |
United States | 0.562 |
Given that the best team outside of North America (Russia/USSR) has a lower winning percentage than the Canadian National Team, it is not surprising that the Russian Elite League, where most players are Russian, has a lower league difficulty than the NHL, where most of the players have historically been Canadian, and which now selects players from throughout the world.
WHL | N | OHL | N | QMJHL | N | |
Junior to AHL | 0.43 | 302 | 0.45 | 295 | 0.41 | 135 |
Junior to NHL | 0.30 | 143 | 0.30 | 205 | 0.28 | 62 |
Implied AHL to NHL | 0.70 | 0.67 | 0.68 | |||
Observed AHL to NHL | 0.65 | 154 |
|
Difficulty |
N |
NCAA |
0.41 |
295 |
Year |
72-73 |
73-74 |
74-75 |
75-76 |
76-77 |
77-78 |
78-79 |
WHA |
0.46 |
0.76 |
0.70 |
0.88 |
0.55 |
0.65 |
0.89 |
N |
39 |
20 |
21 |
16 |
10 |
14 |
59 |
League |
Difficulty |
N |
NHL |
1.00 |
|
WHA Final Year (1978-79) |
0.89 |
59 |
Russian Elite League |
0.83 |
101 |
Swedish Elite League |
0.78 |
77 |
|
0.74 |
53 |
|
0.54 |
76 |
Deutsche Eishockey League |
0.52 |
74 |
WHA First Year (1972-73) |
0.46 |
39 |
AHL |
0.44 |
384 |
IHL |
0.43 |
113 |
|
0.44 |
30 |
NCAA |
0.41 |
295 |
Canadian Major Junior |
0.29* |
410 |
Twenty years ago, almost all every
It is obvious that, despite drafting thousands of times,
So were these errors easily avoidable? That’s the question we’ll answer.
Some preliminaries: in the aggregate, there’s no significant difference between the three junior hockey leagues. This table shows the League Difficulty of Juniors relative to the AHL and NHL:
|
WHL |
N |
OHL |
N |
QMJHL |
N |
To AHL |
0.43 |
302 |
0.45 |
295 |
0.41 |
135 |
To |
0.30 |
143 |
0.30 |
205 |
0.28 |
62 |
The League Difficulty is the ratio of a player’s
points-per-game (
Does it matter how old a player is when he puts up big
numbers in Junior? Obviously it does –
Wayne Gretzky had 70 goals and 112 assists in 64 games for the Sault Ste Marie
Greyhounds as a 17-year-old in 1977-78.
Seven years later, Dan Hodgson had the exact same statistics when he was
a 20-year-old playing for the Prince Albert Raiders. Hodgson was drafted 83rd overall
despite his prolific scoring, and had 74 points in a 114-game
So in a qualitative sense, it’s obvious in this case that a
17-year-old player’s performance predicts a much better career than a
20-year-old’s stats. But there is also a
strong quantitative relationship between past and future performance. Based on the performance of thousands of
drafted players, we can predict how many points a player will score in the
There is a caveat: younger players are a bit less
predictable than older players. For a
17-year-old, the middle 50% range of the projection is from 45% to 98%, while
for a 20-year-old, it’s from 17% to 33%.
This wide range reflects how unpredictable future performance is for
We could narrow the bounds of the projection if we had more
data about the players. This method
tries to capture a player’s performance despite having no information about
linemates, ice time, injury status, size and performance in other seasons. Who you play with can have a profound effect
on your performance: Rob Brown played with Mario Lemieux and had 49 goals and
115 points. The Penguins traded him away
two years later, and without Lemieux setting him up, he couldn’t crack an
This chart shows the ratio of
In the aggregate, players reach their peak performance level
at age 22 and hold it for several years.
What’s most significant about this chart is what it implies about the
age at which a junior player posts a particular
This is very significant for the
Let’s look at a sample of star players and busts drafted with the first few picks:
Player |
|
|
Pick |
Dave Chyzowski |
1.53 |
0.50 |
#2 – 1989 |
Neil Brady |
1.13 |
|
#3 – 1986 |
Perry Turnbull |
1.11 |
0.97 |
#2 – 1979 |
Dale Hawerchuk |
|
2.54 |
#1 – 1981 |
Denis Savard |
2.51 |
2.26 |
#3 – 1980 |
Mario Lemieux |
4.03 |
2.79 |
#1 – 1984 |
In Junior, Chyzowski, Brady and Turnbull didn’t perform
nearly as well as Hawerchuk, Savard and Lemieux, and this difference carried
over to the
Sometimes, the differences can be more subtle:
Player |
|
|
Pick |
Doug Wickenheiser |
2.39 |
1.38 |
#1 – 1980 |
Vincent Damphousse |
2.25 |
1.51 |
#6 – 1986 |
Their pre-draft statistics look almost identical, but
Damphousse was born in December while Wickenheiser was born in March, making
him nine months older than Damphousse during the season. Damphousse’s 2.25
The United States Hockey League (USHL) is the only Tier I
Junior Hockey League operating entirely in the
Fifteen years ago, the USHL did not measure up to Tier I standards: it featured a lot of 9-6 games, and relatively few of its players continued their hockey careers along anything resembling a path to the NHL. But as of 2006-07, nearly 10% of NHL players had also played in the USHL:
This is not surprising given that the number of USHL players moving directly to NCAA college hockey has been steadily increasing over the same time period:
At the same time, the caliber of USHL players relative to the NCAA has jumped substantially. The plot below shows the relative points-per-game scored by USHL players in their first NCAA season. The red line shows performance adjusted for the scoring levels in each league; blue is unadjusted.
As you can see, a point in the USHL has become 40-60% more valuable over the last fifteen years, assuming that the level of play in the NCAA has remained constant. The translation from the NCAA to the AHL has been approximately constant during this era, so this is a safe assumption. The average age of USHL players has also remained constant, which is especially significant given the dependence translations have on teenage players.
It is difficult to compare the USHL and Canadian Junior Leagues directly because the groups of players do not interact. Few USHL players move to Canadian Junior (though they typically maintain their level of production), and virtually none move from Canadian Junior to the NCAA. The table below shows the translations between leagues that commonly feed each other:
|
NCAA |
AHL |
CHL |
N/A |
0.43 |
USHL |
0.65 |
N/A |
NCAA |
------- |
0.53 |
We can then estimate the translation from the USHL to the AHL by multiplying the translation from the USHL to the NCAA by the translation from the NCAA to the AHL:
Implied
Translation |
AHL |
USHL |
0.37 |
CHL |
0.43 |
The accuracy of the previous step is affected by a typical two- or three-year gap between a player’s last year in the USHL and first year in the AHL. We can compare this to the observed translation from the USHL to the CHL for the relatively small number of players who played in both leagues:
|
CHL |
USHL -
Implied |
0.86 |
USHL -
Observed |
1.12 |
It is clear that regardless of the analysis method, players who play in the USHL and CHL perform approximately the same once they get to higher-level leagues. Allowing for a year's worth of improvement, 18-year-olds in the USHL would maintain their level of scoring at age 19 if they transferred to Canadian Tier I Junior. Were they to transfer during the same season, they would likely maintain at least 80% of their scoring.
NAHL and Tier II Junior
It is important to keep in mind the gap between the USHL and non-Tier I junior hockey leagues.
League | to CHL | mean Age | to NCAA | mean Age |
Tier II | 0.45 | 17.3 | 0.33 | 19.4 |
NAHL | 1.00* | 16.9 | 0.50 | 19.6 |
The USHL is clearly better than Tier II Junior Hockey.