| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Oakville Blades | OJHL | 50 | 11 | 19 | 30 | 0.600 | 0.1471 | 0.1471 | 0.4107 | 0.4107 |
| 2020-21 | Brockville Braves | CCHL | 0 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2021-22 | Brockville Braves | CCHL | 43 | 22 | 15 | 37 | 0.861 | 0.1866 | 0.1852 | 0.6661 | 0.6612 |
| 2022-23 | Collingwood Blues | OJHL | 24 | 10 | 17 | 27 | 1.125 | 0.2757 | 0.2591 | 0.7701 | 0.7236 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Hamilton | D3 | NESCAC | GR | 26 | 18 | 16 | 34 | 1.308 |
| 2024-25 | Hamilton | D3 | NESCAC | SR | 29 | 17 | 17 | 34 | 1.172 |
| 2023-24 | Hamilton | D3 | NESCAC | JR | 26 | 13 | 21 | 34 | 1.308 |
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.