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 | Dauphin Kings | MJHL | 63 | 3 | 21 | 24 | 0.381 | 0.1036 | 0.0993 | 0.2401 | 0.2300 |
| 2001-02 | Dauphin Kings | MJHL | 64 | 11 | 32 | 43 | 0.672 | 0.1827 | 0.1641 | 0.4234 | 0.3804 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2005-06 | Manhattanville | D3 | — | SR | 1 | 0 | 0 | 0 | 0.000 |
| 2004-05 | Manhattanville | D3 | — | JR | 5 | 0 | 0 | 0 | 0.000 |
| 2003-04 | Manhattanville | D3 | — | SO | 11 | 0 | 3 | 3 | 0.273 |
| 2002-03 | Manhattanville | D3 | — | FR | 20 | 1 | 4 | 5 | 0.250 |
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.