| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2000-01 | Pickering Panthers | OJHL | 48 | 7 | 9 | 16 | 0.333 | 0.0931 | 0.0931 | 0.2300 | 0.2300 |
| 2001-02 | Pickering Panthers | OJHL | 48 | 12 | 18 | 30 | 0.625 | 0.1746 | 0.1746 | 0.4313 | 0.4313 |
| 2002-03 | — | OJHL | 44 | 14 | 25 | 39 | 0.886 | 0.2477 | 0.2477 | 0.6117 | 0.6117 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2003-04 | Marian | D3 | — | FR | 26 | 9 | 10 | 19 | 0.731 |
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.