| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Brooks Bandits | AJHL | 2 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2018-19 | Brooks Bandits | AJHL | 2 | 0 | 3 | 3 | 1.500 | 0.5010 | 0.5264 | 1.3924 | 1.4631 |
| 2019-20 | Brooks Bandits | AJHL | 42 | 3 | 3 | 6 | 0.143 | 0.0477 | 0.0477 | 0.1327 | 0.1327 |
| 2020-21 | Trail Smoke Eaters | BCHL | 15 | 1 | 4 | 5 | 0.333 | 0.1297 | 0.1297 | 0.4861 | 0.4861 |
| 2021-22 | Fort McMurray Oil Barons | AJHL | 41 | 10 | 13 | 23 | 0.561 | 0.1874 | 0.1696 | 0.5208 | 0.4713 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Lake Forest | D3 | NCHA | SR | 22 | 4 | 5 | 9 | 0.409 |
| 2024-25 | Lake Forest | D3 | NCHA | JR | 21 | 9 | 7 | 16 | 0.762 |
| 2023-24 | Lake Forest | D3 | NCHA | SO | 25 | 2 | 10 | 12 | 0.480 |
| 2022-23 | Lake Forest | D3 | NCHA | FR | 25 | 9 | 9 | 18 | 0.720 |
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.