| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2000-01 | Dauphin Kings | MJHL | 39 | 6 | 17 | 23 | 0.590 | 0.1668 | 0.1641 | 0.3716 | 0.3657 |
| 2001-02 | Cowichan Valley Capitals | BCHL | 60 | 13 | 18 | 31 | 0.517 | 0.2011 | 0.1854 | 0.7535 | 0.6946 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2004-05 | SUNY Oswego | D3 | — | JR | 18 | 1 | 2 | 3 | 0.167 |
| 2003-04 | SUNY Oswego | D3 | — | SO | 31 | 4 | 13 | 17 | 0.548 |
| 2002-03 | SUNY Oswego | D3 | — | FR | 33 | 5 | 15 | 20 | 0.606 |
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.