| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Chilliwack Chiefs | BCHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2021-22 | Chilliwack Chiefs | BCHL | 35 | 0 | 14 | 14 | 0.400 | 0.1490 | 0.1612 | 0.5828 | 0.6304 |
| 2022-23 | Chilliwack Chiefs | BCHL | 44 | 2 | 11 | 13 | 0.295 | 0.1101 | 0.1137 | 0.4306 | 0.4447 |
| 2023-24 | — | BCHL | 31 | 2 | 5 | 7 | 0.226 | 0.0841 | 0.0830 | 0.3290 | 0.3247 |
| 2024-25 | Chilliwack Chiefs | BCHL | 43 | 5 | 20 | 25 | 0.581 | 0.2166 | 0.2028 | 0.8472 | 0.7934 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Alaska Fairbanks | D1 | WCHA | FR | 7 | 0 | 2 | 2 | 0.286 |
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.