| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Alberni Valley Bulldogs | BCHL | 46 | 10 | 9 | 19 | 0.413 | 0.1538 | 0.1599 | 0.6018 | 0.6256 |
| 2022-23 | Alberni Valley Bulldogs | BCHL | 53 | 20 | 36 | 56 | 1.057 | 0.3936 | 0.3899 | 1.5396 | 1.5251 |
| 2023-24 | Alberni Valley Bulldogs | BCHL | 54 | 17 | 46 | 63 | 1.167 | 0.4346 | 0.4106 | 1.7000 | 1.6061 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | St. Lawrence | D1 | ECAC | SO | 33 | 5 | 4 | 9 | 0.273 |
| 2024-25 | St. Lawrence | D1 | ECAC | — | 32 | 2 | 5 | 7 | 0.219 |
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.