| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Nepean Wildcats | OWHL-U22 | 27 | 5 | 5 | 10 | 0.370 | 0.1295 | 0.1295 | — | — |
| 2022-23 | Ottawa Senators U22 | OWHL-U22 | 30 | 15 | 12 | 27 | 0.900 | 0.3146 | 0.3146 | — | — |
| 2023-24 | Ottawa Senators U22 | OWHL-U22 | 38 | 50 | 24 | 74 | 1.947 | 0.6808 | 0.6808 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Penn State | D1 | WCHA-W | — | 36 | 24 | 16 | 40 | 1.111 |
| 2024-25 | Penn State | D1 | WCHA-W | — | 38 | 16 | 10 | 26 | 0.684 |
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.