| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Ridley College | OWHL-U22 | 11 | 7 | 7 | 14 | 1.273 | 0.4449 | 0.4449 | — | — |
| 2022-23 | Mississauga Hurricanes U22 | OWHL-U22 | 35 | 23 | 26 | 49 | 1.400 | 0.4894 | 0.4894 | — | — |
| 2023-24 | Burlington Barracudas AA | OWHL-U22 | 31 | 12 | 20 | 32 | 1.032 | 0.3609 | 0.3609 | — | — |
| 2024-25 | Mississauga Hurricanes U22 | OWHL-U22 | 37 | 39 | 22 | 61 | 1.649 | 0.5764 | 0.5764 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Wisconsin | D1 | WCHA-W | FR | 40 | 5 | 9 | 14 | 0.350 |
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.