| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Portland Winterhawks | WHL | 55 | 14 | 16 | 30 | 0.545 | 0.2654 | 0.2654 | 1.3366 | 1.3366 |
| 2020-21 | Lincoln Stars | USHL | 23 | 1 | 6 | 7 | 0.304 | 0.1871 | 0.1871 | 0.8965 | 0.8965 |
| 2021-22 | Portland Winterhawks | WHL | 68 | 15 | 32 | 47 | 0.691 | 0.3363 | 0.3349 | 1.6936 | 1.6866 |
| 2022-23 | Portland Winterhawks | WHL | 66 | 12 | 47 | 59 | 0.894 | 0.4349 | 0.4128 | 2.1903 | 2.0791 |
| 2023-24 | Portland Winterhawks | WHL | 60 | 22 | 32 | 54 | 0.900 | 0.4379 | 0.3941 | 2.2053 | 1.9847 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Cornell | D1 | ECAC | — | 34 | 0 | 6 | 6 | 0.176 |
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.