| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Seattle Thunderbirds | WHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2019-20 | Seattle Thunderbirds | WHL | 54 | 19 | 20 | 39 | 0.722 | 0.3514 | 0.3514 | 1.7641 | 1.7641 |
| 2020-21 | Seattle Thunderbirds | WHL | 11 | 6 | 6 | 12 | 1.091 | 0.5307 | 0.5307 | 2.6647 | 2.6647 |
| 2021-22 | Seattle Thunderbirds | WHL | 65 | 24 | 42 | 66 | 1.015 | 0.4940 | 0.4919 | 2.4803 | 2.4698 |
| 2022-23 | Saskatoon Blades | WHL | 60 | 24 | 39 | 63 | 1.050 | 0.5108 | 0.4848 | 2.5648 | 2.4342 |
| 2023-24 | Spokane Chiefs | WHL | 68 | 45 | 63 | 108 | 1.588 | 0.7727 | 0.6953 | 3.8795 | 3.4908 |
| 2025-26 | Univ. of Saskatchewan | USports-M | 28 | 15 | 20 | 35 | 1.250 | 0.6595 | 0.6749 | 3.6629 | 3.7484 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2026-27 | Michigan Tech | D1 | CCHA | JR | 0 | 0 | 0 | 0 | 0.000 |
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.