| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Prince George Spruce Kings | BCHL | 2 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2017-18 | Victoria Grizzlies | BCHL | 11 | 0 | 3 | 3 | 0.273 | 0.1051 | 0.1077 | 0.3969 | 0.4066 |
| 2018-19 | Victoria Grizzlies | BCHL | 32 | 1 | 4 | 5 | 0.156 | 0.0602 | 0.0584 | 0.2273 | 0.2206 |
| 2019-20 | Grande Prairie Storm | AJHL | 37 | 6 | 13 | 19 | 0.513 | 0.1722 | 0.1722 | 0.4752 | 0.4752 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Williams | D3 | NESCAC | — | 23 | 1 | 1 | 2 | 0.087 |
| 2022-23 | Williams | D3 | NESCAC | — | 20 | 1 | 1 | 2 | 0.100 |
| 2021-22 | Williams | D3 | NESCAC | — | 18 | 1 | 3 | 4 | 0.222 |
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.