| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Collingwood Blues | OJHL | 37 | 1 | 3 | 4 | 0.108 | 0.0265 | 0.0272 | 0.0744 | 0.0764 |
| 2014-15 | Collingwood Blues | OJHL | 50 | 5 | 20 | 25 | 0.500 | 0.1226 | 0.1195 | 0.3443 | 0.3356 |
| 2015-16 | Smiths Falls Bears | CCHL | 39 | 7 | 17 | 24 | 0.615 | 0.1335 | 0.1247 | 0.4761 | 0.4449 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Utica | D1 | UCHC | SR | 20 | 2 | 11 | 13 | 0.650 |
| 2019-20 | Utica | D3 | UCHC | — | 20 | 2 | 11 | 13 | 0.650 |
| 2018-19 | Utica | D1 | UCHC | JR | 24 | 3 | 7 | 10 | 0.417 |
| 2018-19 | Utica | D3 | UCHC | — | 24 | 3 | 7 | 10 | 0.417 |
| 2017-18 | Utica | D3 | UCHC | — | 15 | 1 | 3 | 4 | 0.267 |
| 2016-17 | SUNY Oswego | D3 | SUNYAC | — | 21 | 0 | 2 | 2 | 0.095 |
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.