| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2008-09 | Aurora Tigers | OJHL | 45 | 6 | 12 | 18 | 0.400 | 0.1118 | 0.1145 | 0.2760 | 0.2826 |
| 2009-10 | North York Rangers | OJHL | 49 | 26 | 34 | 60 | 1.224 | 0.3421 | 0.3323 | 0.8450 | 0.8208 |
| 2010-11 | North York Rangers | OJHL | 50 | 23 | 43 | 66 | 1.320 | 0.3688 | 0.3410 | 0.9109 | 0.8423 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Manhattanville | D3 | UCHC | — | 26 | 5 | 8 | 13 | 0.500 |
| 2013-14 | Manhattanville | D3 | UCHC | — | 26 | 12 | 16 | 28 | 1.077 |
| 2012-13 | SUNY Plattsburgh | D3 | — | SO | 11 | 1 | 2 | 3 | 0.273 |
| 2011-12 | SUNY Plattsburgh | D3 | — | FR | 27 | 6 | 11 | 17 | 0.630 |
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.