| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | North York Rangers | OJHL | 7 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2013-14 | North York Rangers | OJHL | 29 | 0 | 5 | 5 | 0.172 | 0.0482 | 0.0510 | 0.1190 | 0.1259 |
| 2014-15 | North York Rangers | OJHL | 51 | 2 | 11 | 13 | 0.255 | 0.0712 | 0.0717 | 0.1759 | 0.1770 |
| 2015-16 | — | OJHL | 49 | 8 | 24 | 32 | 0.653 | 0.1825 | 0.1736 | 0.4507 | 0.4287 |
| 2016-17 | Stouffville Spirit | OJHL | 54 | 14 | 30 | 44 | 0.815 | 0.2277 | 0.2064 | 0.5623 | 0.5097 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | SUNY Oswego | D3 | — | JR | 26 | 6 | 18 | 24 | 0.923 |
| 2018-19 | SUNY Oswego | D3 | — | SO | 28 | 7 | 14 | 21 | 0.750 |
| 2017-18 | SUNY Oswego | D3 | — | FR | 25 | 1 | 10 | 11 | 0.440 |
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.