| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Kirkland Lake Gold Miners | NOJHL | 53 | 12 | 13 | 25 | 0.472 | 0.0795 | 0.0795 | 0.1960 | 0.1960 |
| 2020-21 | Kirkland Lake Gold Miners | NOJHL | 5 | 3 | 0 | 3 | 0.600 | 0.1012 | 0.1012 | 0.2493 | 0.2493 |
| 2021-22 | Greater Sudbury Cubs | NOJHL | 44 | 28 | 18 | 46 | 1.046 | 0.1763 | 0.1602 | 0.4344 | 0.3948 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Albertus Magnus | D3 | UCHC | SR | 16 | 1 | 0 | 1 | 0.062 |
| 2024-25 | Albertus Magnus | D3 | UCHC | JR | 8 | 0 | 1 | 1 | 0.125 |
| 2023-24 | Albertus Magnus | D3 | UCHC | SO | 0 | 0 | 0 | 0 | 0.000 |
| 2022-23 | Albertus Magnus | D3 | UCHC | FR | 10 | 2 | 2 | 4 | 0.400 |
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.