| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Renfrew Wolves | CCHL | 56 | 15 | 19 | 34 | 0.607 | 0.1733 | 0.1742 | 0.4700 | 0.4724 |
| 2018-19 | Renfrew Wolves | CCHL | 62 | 33 | 39 | 72 | 1.161 | 0.3314 | 0.3184 | 0.8990 | 0.8636 |
| 2019-20 | Vernon Vipers | BCHL | 57 | 6 | 19 | 25 | 0.439 | 0.1707 | 0.1707 | 0.6396 | 0.6396 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | SUNY Oswego | D3 | SUNYAC | JR | 26 | 4 | 9 | 13 | 0.500 |
| 2022-23 | SUNY Oswego | D3 | SUNYAC | SO | 26 | 4 | 11 | 15 | 0.577 |
| 2021-22 | SUNY Oswego | D3 | SUNYAC | FR | 25 | 6 | 16 | 22 | 0.880 |
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.