| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2002-03 | Calgary Royals | AJHL | 62 | 22 | 31 | 53 | 0.855 | 0.2867 | 0.3066 | 0.7910 | 0.8459 |
| 2003-04 | Calgary Royals | AJHL | 46 | 21 | 20 | 41 | 0.891 | 0.2989 | 0.3039 | 0.8248 | 0.8387 |
| 2004-05 | Calgary Royals | AJHL | 63 | 27 | 50 | 77 | 1.222 | 0.4099 | 0.3973 | 1.1310 | 1.0962 |
| 2005-06 | Fort McMurray Oil Barons | AJHL | 59 | 31 | 28 | 59 | 1.000 | 0.3354 | 0.3092 | 0.9254 | 0.8530 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2006-07 | Wisconsin-Superior | D3 | WIAC | FR | 21 | 3 | 5 | 8 | 0.381 |
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.