| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2002-03 | Waterloo Black Hawks | USHL | 58 | 15 | 13 | 28 | 0.483 | 0.2968 | 0.3105 | 1.4224 | 1.4880 |
| 2003-04 | — | USHL | 55 | 21 | 23 | 44 | 0.800 | 0.4918 | 0.4886 | 2.3570 | 2.3415 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2007-08 | Bowling Green | D1 | — | SR | 38 | 27 | 10 | 37 | 0.974 |
| 2006-07 | Bowling Green | D1 | — | JR | 38 | 19 | 10 | 29 | 0.763 |
| 2005-06 | Bowling Green | D1 | — | SO | 34 | 13 | 6 | 19 | 0.559 |
| 2004-05 | Bowling Green | D1 | — | FR | 33 | 11 | 6 | 17 | 0.515 |
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.