| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Whitby Wolves | OWHL-U22 | 13 | 2 | 1 | 3 | 0.231 | 0.0807 | 0.0807 | — | — |
| 2022-23 | Whitby Wolves | OWHL-U22 | 67 | 8 | 27 | 35 | 0.522 | 0.1826 | 0.1826 | — | — |
| 2023-24 | Whitby Wolves | OWHL-U22 | 54 | 7 | 21 | 28 | 0.518 | 0.1813 | 0.1813 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Robert Morris | D1 | CHA-W | — | 30 | 2 | 7 | 9 | 0.300 |
| 2024-25 | Robert Morris | D1 | CHA-W | — | 34 | 1 | 6 | 7 | 0.206 |
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.