| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2002-03 | Tri-City Storm | USHL | 48 | 21 | 23 | 44 | 0.917 | 0.5408 | 0.5581 | 2.7008 | 2.7874 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2006-07 | Nebraska Omaha | D1 | — | SR | 40 | 24 | 28 | 52 | 1.300 |
| 2005-06 | Nebraska Omaha | D1 | — | JR | 41 | 20 | 41 | 61 | 1.488 |
| 2004-05 | Nebraska Omaha | D1 | — | SO | 39 | 19 | 30 | 49 | 1.256 |
| 2003-04 | Nebraska Omaha | D1 | — | FR | 39 | 16 | 19 | 35 | 0.897 |
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.