| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2002-03 | Buffalo Lightning | OJHL | 44 | 10 | 13 | 23 | 0.523 | 0.1281 | 0.1259 | 0.3578 | 0.3517 |
| 2003-04 | Buffalo Lightning | OJHL | 43 | 9 | 7 | 16 | 0.372 | 0.0912 | 0.0855 | 0.2547 | 0.2389 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2007-08 | SUNY Plattsburgh | D3 | — | SR | 29 | 9 | 8 | 17 | 0.586 |
| 2006-07 | SUNY Plattsburgh | D3 | — | JR | 25 | 7 | 2 | 9 | 0.360 |
| 2005-06 | SUNY Plattsburgh | D3 | — | SO | 14 | 2 | 1 | 3 | 0.214 |
| 2004-05 | SUNY Plattsburgh | D3 | — | FR | 27 | 5 | 4 | 9 | 0.333 |
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.