| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2008-09 | La Ronge Ice Wolves | SJHL | 53 | 16 | 15 | 31 | 0.585 | 0.1499 | 0.1582 | 0.4409 | 0.4653 |
| 2009-10 | La Ronge Ice Wolves | SJHL | 56 | 28 | 34 | 62 | 1.107 | 0.2836 | 0.2863 | 0.8345 | 0.8424 |
| 2010-11 | La Ronge Ice Wolves | SJHL | 55 | 33 | 65 | 98 | 1.782 | 0.4565 | 0.4380 | 1.3431 | 1.2887 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Norwich | D3 | LittleEast | — | 23 | 14 | 10 | 24 | 1.044 |
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.