A few years ago, behindthenet used their pulsing orbs to devise conversion rates for scoring in the various leagues in comparison to the NHL. They came up with the following ratios/conversion rates:
League Translations: how do other leagues stack up against the NHL?
- Russian Elite League 0.83
- Swedish Elite League 0.78
- Czech Republic League 0.74
- Finland SM-Liiga 0.54
- Deutsche Eishockey League 0.52 […]
- AHL 0.44 […]
- Switzerland National League 0.44
- NCAA 0.41
- Canadian Major Junior 0.30
The idea being, for example, that one goal in NCAA is the rough equivalent, in terms of difficulty, of 0.41 goals in the NHL. Obviously, there’s lots of room to disagree with the specific numbers, but I’m willing to play along.
The point is, I am using the behindthenet numbers as a way to list all of the Kings prospects in one sortable stat sheet. If you think the equivalencies are bunk, then just sort by the league column, and that should work for you. I think I’m going to try to update the stats every Monday. But we’ll see how it goes.
| GP | G | A | Pts | PTs/G | Diff. | NHL Eq | |||
|---|---|---|---|---|---|---|---|---|---|
| Andrei Loktionov | Manchester | AHL | 5 | 3 | 5 | 8 | 1.600 | 0.44 | 0.704 |
| Tyler Toffoli | Ottawa 67s | OHL | 7 | 7 | 7 | 14 | 2.000 | 0.30 | 0.600 |
| Corey Elkins | Pardubice HC | CZE | 9 | 3 | 3 | 6 | 0.667 | 0.74 | 0.493 |
| Jake Muzzin | Manchester | AHL | 3 | 2 | 1 | 3 | 1.000 | 0.44 | 0.440 |
| Viatcheslav Voynov | Manchester | AHL | 2 | 1 | 1 | 2 | 1.000 | 0.44 | 0.440 |
| Jordan Weal | Regina Pats | WHL | 9 | 4 | 9 | 13 | 1.444 | 0.30 | 0.433 |
| Nicholas Shore | Denver | NCAA | 2 | 0 | 2 | 2 | 1.000 | 0.41 | 0.410 |
| Bud Holloway | Skelleftea AIK | SEL | 12 | 4 | 2 | 6 | 0.500 | 0.78 | 0.390 |
| Marc-Andre Cliche | Manchester | AHL | 5 | 3 | 1 | 4 | 0.800 | 0.44 | 0.352 |
| David Meckler | Manchester | AHL | 5 | 3 | 1 | 4 | 0.800 | 0.44 | 0.352 |
| Jordan Nolan | Manchester | AHL | 5 | 0 | 4 | 4 | 0.800 | 0.44 | 0.352 |
| Ray Kaunisto | Manchester | AHL | 5 | 1 | 3 | 4 | 0.800 | 0.44 | 0.352 |
| David Kolomatis | Manchester | AHL | 5 | 1 | 3 | 4 | 0.800 | 0.44 | 0.352 |
| Oscar Moller | Skelleftea AIK | SEL | 12 | 3 | 2 | 5 | 0.417 | 0.78 | 0.325 |
| Michael Schumacher | Soo Greyhounds | OHL | 10 | 6 | 4 | 10 | 1.000 | 0.30 | 0.300 |
| Andy Andreoff | Oshawa Generals | OHL | 2 | 1 | 1 | 2 | 1.000 | 0.30 | 0.300 |
| Andrew Campbell | Manchester | AHL | 5 | 0 | 3 | 3 | 0.600 | 0.44 | 0.264 |
| Rich Clune | Manchester | AHL | 5 | 2 | 1 | 3 | 0.600 | 0.44 | 0.264 |
| Linden Vey | Manchester | AHL | 5 | 0 | 3 | 3 | 0.600 | 0.44 | 0.264 |
| Patrick Mullen | Manchester | AHL | 5 | 0 | 3 | 3 | 0.600 | 0.44 | 0.264 |
| Stefan Legein | Manchester | AHL | 2 | 0 | 1 | 1 | 0.500 | 0.44 | 0.220 |
| Michael Mersch | Wisconsin | NCAA | 4 | 1 | 1 | 2 | 0.500 | 0.41 | 0.205 |
| Derek Forbort | UND | NCAA | 4 | 1 | 1 | 2 | 0.500 | 0.41 | 0.205 |
| Brandon Kozun | Manchester | AHL | 5 | 1 | 1 | 2 | 0.400 | 0.44 | 0.176 |
| Thomas Hickey | Manchester | AHL | 5 | 0 | 2 | 2 | 0.400 | 0.44 | 0.176 |
| Maxim Kitsyn | Novokuznetsk Metallurg | KHL | 12 | 1 | 1 | 2 | 0.167 | 0.83 | 0.138 |
| Nic Dowd | St. Cloud State | NCAA | 4 | 1 | 0 | 1 | 0.250 | 0.41 | 0.103 |
| Dwight King | Manchester | AHL | 5 | 0 | 1 | 1 | 0.200 | 0.44 | 0.088 |
| Alex Roach | Calgary Hitmen | WHL | 5 | 0 | 1 | 1 | 0.200 | 0.30 | 0.060 |
| Kevin Gravel | St. Cloud State | NCAA | 4 | 0 | 0 | 0 | 0.000 | 0.41 | 0.000 |
| Nicolas Deslauriers | Manchester | AHL | 3 | 0 | 0 | 0 | 0.000 | 0.44 | 0.000 |
| Joel Lowry | Cornell | NCAA | 0 | 0 | 0 | 0 | 0.000 | 0.41 | 0.000 |
Diff. is “difficulty” per behindthenet.com. NHLEq is the player’s points per game “translated” to NHL numbers. I used the Russian Elite conversion for the KHL.