| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Milton Menace | OJHL | 50 | 3 | 8 | 11 | 0.220 | 0.0539 | 0.0591 | 0.1515 | 0.1662 |
| 2019-20 | Markham Royals | OJHL | 53 | 8 | 17 | 25 | 0.472 | 0.1156 | 0.1156 | 0.3248 | 0.3248 |
| 2020-21 | — | NCDC | 18 | 0 | 2 | 2 | 0.111 | 0.0453 | 0.0453 | 0.0893 | 0.0893 |
| 2021-22 | — | OJHL | 48 | 6 | 22 | 28 | 0.583 | 0.1430 | 0.1360 | 0.4016 | 0.3820 |
| 2022-23 | Trenton Golden Hawks | OJHL | 51 | 14 | 40 | 54 | 1.059 | 0.2595 | 0.2336 | 0.7290 | 0.6562 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2024-25 | Utica | D3 | UCHC | — | 5 | 0 | 1 | 1 | 0.200 |
| 2023-24 | Utica | D3 | UCHC | — | 26 | 1 | 4 | 5 | 0.192 |
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.