| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | North Bay Battalion | OHL | 66 | 10 | 24 | 34 | 0.515 | 0.2980 | 0.3142 | 1.3238 | 1.3956 |
| 2022-23 | North Bay Battalion | OHL | 68 | 11 | 17 | 28 | 0.412 | 0.2382 | 0.2408 | 1.0581 | 1.0697 |
| 2023-24 | North Bay Battalion | OHL | 65 | 41 | 45 | 86 | 1.323 | 0.7654 | 0.7372 | 3.3997 | 3.2742 |
| 2024-25 | North Bay Battalion | OHL | 67 | 23 | 30 | 53 | 0.791 | 0.4576 | 0.4171 | 2.0325 | 1.8526 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Clarkson | D1 | ECAC | FR | 38 | 12 | 13 | 25 | 0.658 |
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.