| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2001-02 | Trenton Sting | OJHL | 41 | 10 | 10 | 20 | 0.488 | 0.1196 | 0.1218 | 0.3359 | 0.3421 |
| 2002-03 | Victoria Grizzlies | BCHL | 15 | 2 | 2 | 4 | 0.267 | 0.1028 | 0.1036 | 0.3881 | 0.3911 |
| 2003-04 | Port Hope Predators | OJHL | 42 | 11 | 30 | 41 | 0.976 | 0.2393 | 0.2230 | 0.6721 | 0.6265 |
| 2004-05 | Aurora Tigers | OJHL | 20 | 5 | 4 | 9 | 0.450 | 0.1103 | 0.0972 | 0.3098 | 0.2731 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2004-05 | Lebanon Valley | D3 | MAC | FR | 11 | 2 | 8 | 10 | 0.909 |
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.