| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Aurora Tigers | OJHL | 50 | 4 | 6 | 10 | 0.200 | 0.0559 | 0.0586 | 0.1380 | 0.1446 |
| 2019-20 | — | NCDC | 44 | 9 | 9 | 18 | 0.409 | 0.1153 | 0.1153 | 0.3312 | 0.3312 |
| 2020-21 | Oakville Blades | OJHL | 0 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2021-22 | Oakville Blades | OJHL | 53 | 21 | 15 | 36 | 0.679 | 0.1898 | 0.1712 | 0.4687 | 0.4228 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Canton | D3 | SUNYAC | SR | 26 | 10 | 11 | 21 | 0.808 |
| 2024-25 | Canton | D3 | SUNYAC | JR | 10 | 2 | 2 | 4 | 0.400 |
| 2023-24 | Canton | D3 | — | SO | 25 | 8 | 15 | 23 | 0.920 |
| 2022-23 | Canton | D3 | — | FR | 20 | 8 | 8 | 16 | 0.800 |
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.