| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2005-06 | Humboldt Broncos | SJHL | 11 | 1 | 1 | 2 | 0.182 | 0.0525 | 0.0536 | 0.1369 | 0.1399 |
| 2006-07 | Humboldt Broncos | SJHL | 57 | 26 | 28 | 54 | 0.947 | 0.2737 | 0.2652 | 0.7132 | 0.6911 |
| 2007-08 | Humboldt Broncos | SJHL | 58 | 30 | 35 | 65 | 1.121 | 0.3238 | 0.2969 | 0.8437 | 0.7737 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2008-09 | Manhattanville | D3 | — | FR | 12 | 2 | 3 | 5 | 0.417 |
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.