| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Powell River Kings | BCHL | 5 | 1 | 0 | 1 | 0.200 | 0.0771 | 0.0858 | 0.2914 | 0.3242 |
| 2021-22 | Swan Valley Stampeders | MJHL | 22 | 2 | 14 | 16 | 0.727 | 0.1400 | 0.1354 | 0.4583 | 0.4434 |
| 2022-23 | Dauphin Kings | MJHL | 41 | 13 | 12 | 25 | 0.610 | 0.1174 | 0.1081 | 0.3843 | 0.3538 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Marian | D3 | NCHA | GR | 2 | 0 | 0 | 0 | 0.000 |
| 2024-25 | Marian | D3 | NCHA | SR | 11 | 0 | 0 | 0 | 0.000 |
| 2023-24 | Marian | D3 | NCHA | JR | 6 | 0 | 1 | 1 | 0.167 |
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.