| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2004-05 | Bancroft Hawks | OJHL | 48 | 7 | 10 | 17 | 0.354 | 0.0990 | 0.0954 | 0.2444 | 0.2355 |
| 2005-06 | Seguin Bruins | OJHL | 38 | 3 | 9 | 12 | 0.316 | 0.0882 | 0.0817 | 0.2179 | 0.2019 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2007-08 | SUNY Potsdam | D3 | — | SO | 10 | 0 | 0 | 0 | 0.000 |
| 2006-07 | Northland | D3 | — | FR | 27 | 10 | 6 | 16 | 0.593 |
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.