| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2008-09 | Pickering Panthers | OJHL | 7 | 1 | 3 | 4 | 0.571 | 0.1596 | 0.1556 | 0.3943 | 0.3845 |
| 2009-10 | Pickering Panthers | OJHL | 50 | 17 | 35 | 52 | 1.040 | 0.2906 | 0.2681 | 0.7177 | 0.6622 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2010-11 | SUNY Plattsburgh | D3 | — | FR | 3 | 0 | 0 | 0 | 0.000 |
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.