| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Regina Pats | WHL | 3 | 0 | 1 | 1 | 0.333 | 0.1622 | 0.1831 | 0.8167 | 0.9219 |
| 2019-20 | — | WHL | 47 | 3 | 9 | 12 | 0.255 | 0.1242 | 0.1242 | 0.6256 | 0.6256 |
| 2020-21 | Swift Current Broncos | WHL | 22 | 1 | 5 | 6 | 0.273 | 0.1327 | 0.1327 | 0.6682 | 0.6682 |
| 2021-22 | Swift Current Broncos | WHL | 62 | 7 | 14 | 21 | 0.339 | 0.1648 | 0.1605 | 0.8299 | 0.8081 |
| 2022-23 | Swift Current Broncos | WHL | 61 | 9 | 28 | 37 | 0.607 | 0.2951 | 0.2736 | 1.4864 | 1.3779 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Ohio State | D1 | BigTen | JR | 34 | 1 | 5 | 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.