| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2001-02 | Lincoln Stars | USHL | 30 | 11 | 10 | 21 | 0.700 | 0.4303 | 0.4633 | 2.0623 | 2.2206 |
| 2002-03 | Lincoln Stars | USHL | 55 | 28 | 39 | 67 | 1.218 | 0.7488 | 0.7598 | 3.5891 | 3.6417 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2005-06 | Minnesota State | D1 | — | JR | 38 | 13 | 29 | 42 | 1.105 |
| 2004-05 | Minnesota State | D1 | — | SO | 38 | 17 | 23 | 40 | 1.053 |
| 2003-04 | Minnesota State | D1 | — | FR | 39 | 16 | 21 | 37 | 0.949 |
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.