| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2001-02 | Selkirk Steelers | MJHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2003-04 | Dauphin Kings | MJHL | 44 | 14 | 7 | 21 | 0.477 | 0.1298 | 0.1353 | 0.3008 | 0.3136 |
| 2004-05 | Dauphin Kings | MJHL | 63 | 35 | 28 | 63 | 1.000 | 0.2719 | 0.2706 | 0.6302 | 0.6272 |
| 2005-06 | Dauphin Kings | MJHL | 58 | 16 | 25 | 41 | 0.707 | 0.1922 | 0.1814 | 0.4455 | 0.4204 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2006-07 | Wisconsin-River Falls | D3 | — | FR | 29 | 3 | 3 | 6 | 0.207 |
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.