| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2004-05 | Toledo IceDiggers | NAHL | 39 | 4 | 5 | 9 | 0.231 | 0.0914 | 0.0939 | 0.2423 | 0.2488 |
| 2005-06 | Alpena IceDiggers | NAHL | 47 | 2 | 5 | 7 | 0.149 | 0.0590 | 0.0577 | 0.1563 | 0.1528 |
| 2006-07 | Alpena IceDiggers | NAHL | 59 | 12 | 13 | 25 | 0.424 | 0.1679 | 0.1558 | 0.4448 | 0.4128 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2007-08 | Wisconsin-River Falls | D3 | — | FR | 11 | 0 | 0 | 0 | 0.000 |
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.