| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2001-02 | Chicago Steel | USHL | 20 | 5 | 8 | 13 | 0.650 | 0.3996 | 0.4241 | 1.9150 | 2.0323 |
| 2002-03 | Chicago Steel | USHL | 60 | 21 | 26 | 47 | 0.783 | 0.4815 | 0.4811 | 2.3078 | 2.3059 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2006-07 | Minnesota State | D1 | — | SR | 38 | 17 | 22 | 39 | 1.026 |
| 2005-06 | Minnesota State | D1 | — | JR | 39 | 20 | 22 | 42 | 1.077 |
| 2004-05 | Minnesota State | D1 | — | SO | 36 | 12 | 19 | 31 | 0.861 |
| 2003-04 | Minnesota State | D1 | — | FR | 38 | 9 | 12 | 21 | 0.553 |
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.