| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2005-06 | Traverse City North Stars | NAHL | 33 | 5 | 10 | 15 | 0.455 | 0.1688 | 0.1717 | 0.4812 | 0.4895 |
| 2006-07 | Traverse City North Stars | NAHL | 62 | 7 | 16 | 23 | 0.371 | 0.1378 | 0.1334 | 0.3928 | 0.3803 |
| 2007-08 | Kenai River Brown Bears | NAHL | 54 | 11 | 23 | 34 | 0.630 | 0.2338 | 0.2149 | 0.6666 | 0.6126 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2008-09 | Nichols | D3 | — | FR | 29 | 7 | 7 | 14 | 0.483 |
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.