| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2000-01 | Kingston Frontenacs | OHL | 12 | 0 | 1 | 1 | 0.083 | 0.0497 | 0.0515 | 0.2158 | 0.2235 |
| 2001-02 | Couchiching Terriers | OJHL | 49 | 44 | 19 | 63 | 1.286 | 0.3592 | 0.3455 | 0.8873 | 0.8534 |
| 2003-04 | Couchiching Terriers | OJHL | 14 | 12 | 8 | 20 | 1.429 | 0.3992 | 0.3495 | 0.9859 | 0.8630 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2003-04 | SUNY Plattsburgh | D3 | — | FR | 1 | 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.