| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2007-08 | Burlington Cougars | OJHL | 36 | 21 | 28 | 49 | 1.361 | 0.3803 | 0.4022 | 0.9393 | 0.9933 |
| 2008-09 | West Kelowna Warriors | BCHL | 33 | 8 | 9 | 17 | 0.515 | 0.2005 | 0.2055 | 0.7513 | 0.7701 |
| 2009-10 | — | OJHL | 20 | 9 | 9 | 18 | 0.900 | 0.2515 | 0.2398 | 0.6211 | 0.5923 |
| 2010-11 | Aurora Tigers | OJHL | 46 | 22 | 31 | 53 | 1.152 | 0.3219 | 0.2920 | 0.7951 | 0.7212 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | SUNY Plattsburgh | D3 | — | FR | 8 | 1 | 0 | 1 | 0.125 |
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.