| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Coquitlam Express | BCHL | 16 | 5 | 5 | 10 | 0.625 | 0.2328 | 0.2377 | 0.9107 | 0.9299 |
| 2023-24 | Coquitlam Express | BCHL | 54 | 21 | 21 | 42 | 0.778 | 0.2897 | 0.2825 | 1.1333 | 1.1053 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Princeton | D1 | ECAC | SO | 34 | 15 | 11 | 26 | 0.765 |
| 2024-25 | Princeton | D1 | ECAC | — | 30 | 8 | 9 | 17 | 0.567 |
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.