| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Surrey Eagles | BCHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2022-23 | Surrey Eagles | BCHL | 42 | 4 | 8 | 12 | 0.286 | 0.1101 | 0.1235 | 0.4158 | 0.4664 |
| 2023-24 | Surrey Eagles | BCHL | 52 | 4 | 18 | 22 | 0.423 | 0.1630 | 0.1753 | 0.6157 | 0.6623 |
| 2024-25 | Tri-City Storm | USHL | 54 | 7 | 19 | 26 | 0.481 | 0.2840 | 0.2836 | 1.4461 | 1.4442 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Minnesota State | D1 | CCHA | FR | 20 | 0 | 1 | 1 | 0.050 |
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.