| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2009-10 | Collingwood Blues | OJHL | 7 | 0 | 1 | 1 | 0.143 | 0.0350 | 0.0371 | 0.0984 | 0.1044 |
| 2010-11 | — | OJHL | 46 | 9 | 12 | 21 | 0.457 | 0.1119 | 0.1135 | 0.3143 | 0.3187 |
| 2011-12 | Stouffville Spirit | OJHL | 24 | 11 | 9 | 20 | 0.833 | 0.2042 | 0.1980 | 0.5737 | 0.5564 |
| 2012-13 | — | OJHL | 34 | 6 | 15 | 21 | 0.618 | 0.1514 | 0.1393 | 0.4252 | 0.3912 |
| 2014-15 | Univ. of Waterloo | USports-M | 9 | 0 | 1 | 1 | 0.111 | 0.0586 | 0.0600 | 0.3256 | 0.3332 |
| 2015-16 | Univ. of Waterloo | USports-M | 28 | 3 | 10 | 13 | 0.464 | 0.2450 | 0.2386 | 1.3609 | 1.3255 |
| 2016-17 | Univ. of Waterloo | USports-M | 24 | 0 | 6 | 6 | 0.250 | 0.1319 | 0.1220 | 0.7328 | 0.6778 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Curry | D3 | CNE | — | 19 | 1 | 1 | 2 | 0.105 |
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.