| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | — | BCHL | 3 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2020-21 | — | BCHL | 20 | 4 | 13 | 17 | 0.850 | 0.3166 | 0.3166 | 1.2385 | 1.2385 |
| 2021-22 | — | BCHL | 52 | 9 | 41 | 50 | 0.962 | 0.3582 | 0.3831 | 1.4010 | 1.4982 |
| 2023-24 | Portland Winterhawks | WHL | 41 | 7 | 34 | 41 | 1.000 | 0.4865 | 0.4604 | 2.4503 | 2.3189 |
| 2024-25 | Portland Winterhawks | WHL | 65 | 13 | 76 | 89 | 1.369 | 0.6661 | 0.5948 | 3.3550 | 2.9958 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Wisconsin | D1 | BigTen | — | 13 | 0 | 2 | 2 | 0.154 |
| 2022-23 | Wisconsin | D1 | BigTen | — | 32 | 5 | 10 | 15 | 0.469 |
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.