| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2000-01 | Brooks Bandits | AJHL | 60 | 23 | 22 | 45 | 0.750 | 0.2515 | 0.2682 | 0.6951 | 0.7414 |
| 2001-02 | Brooks Bandits | AJHL | 53 | 42 | 26 | 68 | 1.283 | 0.4303 | 0.4458 | 1.1891 | 1.2320 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2003-04 | Alaska Anchorage | D1 | WCHA | SO | 37 | 21 | 13 | 34 | 0.919 |
| 2002-03 | Alaska Anchorage | D1 | WCHA | FR | 35 | 11 | 12 | 23 | 0.657 |
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.