| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | — | AJHL | 5 | 0 | 2 | 2 | 0.400 | 0.1342 | 0.1342 | — | — |
| 2020-21 | — | WHL | 23 | 4 | 6 | 10 | 0.435 | 0.2115 | 0.2115 | 1.0654 | 1.0654 |
| 2021-22 | — | WHL | 61 | 13 | 16 | 29 | 0.475 | 0.2313 | 0.2277 | 1.1649 | 1.1466 |
| 2022-23 | — | WHL | 42 | 26 | 21 | 47 | 1.119 | 0.5444 | 0.5104 | 2.7419 | 2.5707 |
| 2023-24 | Brandon Wheat Kings | WHL | 66 | 32 | 27 | 59 | 0.894 | 0.4349 | 0.3863 | 2.1903 | 1.9457 |
| 2024-25 | Univ. of Alberta | usports | 21 | 13 | 20 | 33 | 1.571 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Nebraska Omaha | D1 | NCHC | SO | 32 | 8 | 8 | 16 | 0.500 |
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.