| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2007-08 | — | OJHL | 34 | 4 | 5 | 9 | 0.265 | 0.0649 | 0.0672 | 0.1822 | 0.1887 |
| 2008-09 | Grande Prairie Storm | AJHL | 19 | 0 | 2 | 2 | 0.105 | 0.0353 | 0.0355 | 0.0974 | 0.0979 |
| 2009-10 | — | OJHL | 42 | 6 | 16 | 22 | 0.524 | 0.1284 | 0.1196 | 0.3605 | 0.3359 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Lake Forest | D3 | NCHA | — | 13 | 1 | 3 | 4 | 0.308 |
| 2010-11 | Lake Forest | D3 | NCHA | — | 17 | 1 | 2 | 3 | 0.176 |
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.