| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Alberni Valley Bulldogs | BCHL | 47 | 2 | 12 | 14 | 0.298 | 0.1110 | 0.1125 | 0.4341 | 0.4399 |
| 2022-23 | Prince George Spruce Kings | BCHL | 54 | 5 | 22 | 27 | 0.500 | 0.1862 | 0.1796 | 0.7286 | 0.7026 |
| 2023-24 | Prince George Spruce Kings | BCHL | 53 | 5 | 27 | 32 | 0.604 | 0.2249 | 0.2066 | 0.8798 | 0.8080 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Princeton | D1 | ECAC | SO | 34 | 0 | 14 | 14 | 0.412 |
| 2024-25 | Princeton | D1 | ECAC | — | 29 | 2 | 1 | 3 | 0.103 |
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.