| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2004-05 | Billings Bulls | NAHL | 20 | 2 | 1 | 3 | 0.150 | 0.0551 | 0.0579 | 0.1583 | 0.1662 |
| 2005-06 | Billings Bulls | NAHL | 55 | 5 | 7 | 12 | 0.218 | 0.0802 | 0.0803 | 0.2303 | 0.2304 |
| 2006-07 | — | OJHL | 50 | 16 | 21 | 37 | 0.740 | 0.1814 | 0.1685 | 0.5095 | 0.4732 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2010-11 | Nichols | D3 | CNE | — | 26 | 10 | 22 | 32 | 1.231 |
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.