| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2006-07 | Fort McMurray Oil Barons | AJHL | 31 | 3 | 5 | 8 | 0.258 | 0.0866 | 0.0939 | 0.2388 | 0.2589 |
| 2007-08 | Fort McMurray Oil Barons | AJHL | 60 | 11 | 16 | 27 | 0.450 | 0.1509 | 0.1552 | 0.4164 | 0.4284 |
| 2008-09 | Fort McMurray Oil Barons | AJHL | 61 | 16 | 18 | 34 | 0.557 | 0.1870 | 0.1846 | 0.5158 | 0.5092 |
| 2009-10 | St. Albert Steel | AJHL | 57 | 21 | 26 | 47 | 0.825 | 0.2766 | 0.2589 | 0.7631 | 0.7143 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2010-11 | SUNY Potsdam | D3 | SUNYAC | FR | 18 | 3 | 3 | 6 | 0.333 |
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.