| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2002-03 | Winkler Flyers | MJHL | 61 | 17 | 24 | 41 | 0.672 | 0.1901 | 0.2013 | 0.4235 | 0.4485 |
| 2003-04 | Winkler Flyers | MJHL | 55 | 27 | 29 | 56 | 1.018 | 0.2880 | 0.2916 | 0.6416 | 0.6496 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2005-06 | Lebanon Valley | D3 | — | SO | 24 | 13 | 10 | 23 | 0.958 |
| 2004-05 | Lebanon Valley | D3 | — | FR | 24 | 10 | 8 | 18 | 0.750 |
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.