| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2005-06 | Billings Bulls | NAHL | 54 | 14 | 9 | 23 | 0.426 | 0.1565 | 0.1432 | 0.4495 | 0.4112 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2009-10 | Utica | D3 | UCHC | SR | 18 | 3 | 4 | 7 | 0.389 |
| 2008-09 | Utica | D3 | UCHC | JR | 26 | 8 | 12 | 20 | 0.769 |
| 2007-08 | Utica | D3 | UCHC | SO | 25 | 6 | 14 | 20 | 0.800 |
| 2006-07 | Utica | D3 | UCHC | FR | 17 | 1 | 4 | 5 | 0.294 |
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.