| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2000-01 | Dauphin Kings | MJHL | 33 | 13 | 25 | 38 | 1.151 | 0.3258 | 0.2995 | 0.7256 | 0.6669 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2004-05 | Wisconsin-Superior | D3 | — | SR | 27 | 6 | 9 | 15 | 0.556 |
| 2003-04 | Wisconsin-Superior | D3 | — | JR | 27 | 9 | 23 | 32 | 1.185 |
| 2002-03 | Wisconsin-Superior | D3 | — | SO | 26 | 8 | 8 | 16 | 0.615 |
| 2001-02 | Wisconsin-Superior | D3 | — | FR | 33 | 20 | 14 | 34 | 1.030 |
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.