icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2000-01 | USNTDP Juniors | USHL | 3 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2012-13 | Västerås IK | Allsvenskan | 43 | 13 | 13 | 26 | 0.605 | 1.5118 | 1.1785 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2005-06 | Vermont | D1 | HockeyEast | SR | 37 | 11 | 24 | 35 | 0.946 |
| 2004-05 | Vermont | D1 | HockeyEast | SR | 6 | 3 | 6 | 9 | 1.500 |
| 2003-04 | Vermont | D1 | HockeyEast | JR | 35 | 15 | 21 | 36 | 1.029 |
| 2002-03 | Vermont | D1 | HockeyEast | SO | 36 | 12 | 15 | 27 | 0.750 |
| 2001-02 | Vermont | D1 | HockeyEast | FR | 31 | 5 | 5 | 10 | 0.323 |
How to read this: NCAAe and D3e factors convert a player's junior PPG into expected NCAA scoring at the D1 or D3 level. Harder conferences → lower projected PPG for the same player. A strong junior player (e.g. USHL 0.90 PPG) will project much higher in NESCAC than Big Ten because the D3 scoring environment is lower-difficulty.
Strength factor: conferences above 1.0 are harder than average; below 1.0 are easier. The formula is: Base NCAAe PPG ÷ Conference Strength = Projected PPG.