| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Kitchener Rangers | OHL | 68 | 4 | 16 | 20 | 0.294 | 0.1707 | 0.1785 | 0.7536 | 0.7881 |
| 2022-23 | Niagara IceDogs | OHL | 66 | 4 | 23 | 27 | 0.409 | 0.2374 | 0.2380 | 1.0483 | 1.0509 |
| 2023-24 | Sarnia Sting | OHL | 68 | 7 | 40 | 47 | 0.691 | 0.4011 | 0.3829 | 1.7712 | 1.6909 |
| 2024-25 | North Bay Battalion | OHL | 68 | 10 | 42 | 52 | 0.765 | 0.4438 | 0.4007 | 1.9595 | 1.7694 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Mercyhurst | D1 | AHA | — | 36 | 1 | 15 | 16 | 0.444 |
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.