| 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 | 0.2855 | 0.3064 | 0.7935 | 0.8516 |
| 2003-04 | Calgary Royals | AJHL | 46 | 21 | 20 | 41 | 0.891 | 0.2977 | 0.3027 | 0.8274 | 0.8414 |
| 2004-05 | Calgary Royals | AJHL | 63 | 27 | 50 | 77 | 1.222 | 0.4082 | 0.3957 | 1.1346 | 1.0997 |
| 2005-06 | Fort McMurray Oil Barons | AJHL | 59 | 31 | 28 | 59 | 1.000 | 0.3340 | 0.3079 | 0.9283 | 0.8557 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2006-07 | Wisconsin-Superior | D3 | — | 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.