| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2004-05 | La Ronge Ice Wolves | SJHL | 50 | 5 | 10 | 15 | 0.300 | 0.0867 | 0.0914 | 0.2258 | 0.2380 |
| 2005-06 | La Ronge Ice Wolves | SJHL | 41 | 12 | 15 | 27 | 0.658 | 0.1902 | 0.1916 | 0.4957 | 0.4993 |
| 2006-07 | La Ronge Ice Wolves | SJHL | 48 | 23 | 26 | 49 | 1.021 | 0.2949 | 0.2814 | 0.7685 | 0.7334 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2008-09 | St. Norbert | D3 | — | SO | 3 | 2 | 0 | 2 | 0.667 |
| 2007-08 | St. Norbert | D3 | — | FR | 16 | 4 | 3 | 7 | 0.438 |
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.