| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2000-01 | Humboldt Broncos | SJHL | 59 | 23 | 22 | 45 | 0.763 | 0.2203 | 0.2292 | 0.5742 | 0.5973 |
| 2001-02 | Humboldt Broncos | SJHL | 57 | 34 | 22 | 56 | 0.983 | 0.2838 | 0.2815 | 0.7396 | 0.7335 |
| 2002-03 | Humboldt Broncos | SJHL | 46 | 26 | 24 | 50 | 1.087 | 0.3140 | 0.2945 | 0.8183 | 0.7675 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2003-04 | St. Norbert | D3 | — | FR | 31 | 10 | 16 | 26 | 0.839 |
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.