| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2000-01 | Bonnyville Pontiacs | AJHL | 8 | 3 | 13 | 16 | 2.000 | 0.6636 | 0.6746 | 1.8536 | 1.8843 |
| 2010-11 | Augsburger Panther | DEL | 49 | 11 | 24 | 35 | 0.714 | 0.7812 | 0.7267 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2002-03 | Minnesota State | D1 | — | SO | 38 | 27 | 36 | 63 | 1.658 |
| 2001-02 | Minnesota State | D1 | — | FR | 38 | 8 | 8 | 16 | 0.421 |
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.