| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2001-02 | Lincoln Stars | USHL | 60 | 23 | 34 | 57 | 0.950 | 0.5840 | 0.6390 | 2.7989 | 3.0624 |
| 2002-03 | Lincoln Stars | USHL | 54 | 35 | 43 | 78 | 1.444 | 0.8879 | 0.9164 | 4.2555 | 4.3919 |
| 2015-16 | Pelicans | Liiga | 60 | 13 | 23 | 36 | 0.600 | 1.5000 | 1.1432 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2005-06 | Minnesota | D1 | — | JR | 41 | 38 | 25 | 63 | 1.537 |
| 2004-05 | Minnesota | D1 | — | SO | 44 | 24 | 17 | 41 | 0.932 |
| 2003-04 | Minnesota | D1 | — | FR | 15 | 6 | 8 | 14 | 0.933 |
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.