| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Ottawa Senators U22 | OWHL-U22 | 30 | 7 | 8 | 15 | 0.500 | 0.1748 | 0.1748 | — | — |
| 2022-23 | Ottawa Senators U22 | OWHL-U22 | 40 | 12 | 14 | 26 | 0.650 | 0.2272 | 0.2272 | — | — |
| 2023-24 | Ottawa Senators U22 | OWHL-U22 | 41 | 26 | 36 | 62 | 1.512 | 0.5287 | 0.5287 | — | — |
| 2024-25 | Ottawa Senators U22 | OWHL-U22 | 42 | 24 | 20 | 44 | 1.048 | 0.3662 | 0.3662 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | St. Lawrence | D1 | ECAC-W | — | 35 | 9 | 11 | 20 | 0.571 |
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.