| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Burlington Cougars | OJHL | 42 | 2 | 21 | 23 | 0.548 | 0.1342 | 0.1486 | 0.3770 | 0.4175 |
| 2012-13 | — | OJHL | 52 | 3 | 39 | 42 | 0.808 | 0.1980 | 0.2094 | 0.5561 | 0.5881 |
| 2013-14 | Indiana Ice | USHL | 57 | 3 | 26 | 29 | 0.509 | 0.3001 | 0.2986 | 1.5281 | 1.5205 |
| 2014-15 | North Bay Battalion | OHL | 31 | 2 | 4 | 6 | 0.194 | 0.1119 | 0.1054 | 0.4972 | 0.4681 |
| 2015-16 | Moncton Wildcats | QMJHL | 34 | 5 | 16 | 21 | 0.618 | 0.3034 | 0.2717 | 1.6492 | 1.4768 |
| 2016-17 | Toronto Metro Univ. | USports-M | 7 | 1 | 5 | 6 | 0.857 | 0.4522 | 0.4805 | 2.5122 | 2.6692 |
| 2017-18 | Toronto Metro Univ. | USports-M | 0 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Ferris State | D1 | WCHA | FR | 9 | 1 | 1 | 2 | 0.222 |
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.