| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2002-03 | Brockville Braves | CCHL | 50 | 10 | 11 | 21 | 0.420 | 0.1199 | 0.1333 | 0.3251 | 0.3615 |
| 2003-04 | Pembroke Lumber Kings | CCHL | 54 | 16 | 18 | 34 | 0.630 | 0.1797 | 0.1908 | 0.4874 | 0.5175 |
| 2005-06 | Cornwall Colts | CCHL | 36 | 22 | 14 | 36 | 1.000 | 0.2854 | 0.2779 | 0.7741 | 0.7538 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2007-08 | SUNY Cortland | D3 | — | FR | 12 | 6 | 5 | 11 | 0.917 |
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.