| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Greater Sudbury Cubs | NOJHL | 9 | 0 | 2 | 2 | 0.222 | 0.0316 | 0.0316 | 0.0922 | 0.0922 |
| 2021-22 | North York Rangers | OJHL | 53 | 10 | 13 | 23 | 0.434 | 0.1064 | 0.1128 | 0.2971 | 0.3151 |
| 2022-23 | — | OJHL | 39 | 10 | 29 | 39 | 1.000 | 0.2451 | 0.2474 | 0.6845 | 0.6910 |
| 2023-24 | Rochester Jr. Americans | NAHL | 30 | 0 | 11 | 11 | 0.367 | 0.1303 | 0.1289 | 0.3850 | 0.3808 |
| 2024-25 | Jersey Hitmen | NCDC | 52 | 6 | 32 | 38 | 0.731 | 0.1689 | 0.1586 | 0.5909 | 0.5550 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Williams | D3 | NESCAC | — | 24 | 3 | 9 | 12 | 0.500 |
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.