| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2003-04 | Bancroft Hawks | OJHL | 41 | 9 | 14 | 23 | 0.561 | 0.1567 | 0.1553 | 0.3871 | 0.3835 |
| 2004-05 | Port Hope Predators | OJHL | 47 | 12 | 14 | 26 | 0.553 | 0.1546 | 0.1454 | 0.3818 | 0.3590 |
| 2005-06 | — | OJHL | 45 | 20 | 42 | 62 | 1.378 | 0.3850 | 0.3479 | 0.9508 | 0.8591 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2006-07 | Buffalo State | D3 | — | FR | 14 | 3 | 6 | 9 | 0.643 |
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.