| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Alberni Valley Bulldogs | BCHL | 30 | 0 | 1 | 1 | 0.033 | 0.0128 | 0.0144 | 0.0485 | 0.0544 |
| 2022-23 | Alberni Valley Bulldogs | BCHL | 28 | 1 | 5 | 6 | 0.214 | 0.0826 | 0.0886 | 0.3119 | 0.3347 |
| 2023-24 | Alberni Valley Bulldogs | BCHL | 49 | 0 | 10 | 10 | 0.204 | 0.0786 | 0.0807 | 0.2970 | 0.3051 |
| 2024-25 | Alberni Valley Bulldogs | BCHL | 50 | 8 | 20 | 28 | 0.560 | 0.2158 | 0.2108 | 0.8150 | 0.7963 |
| 2025-26 | Alberni Valley Bulldogs | BCHL | 45 | 4 | 22 | 26 | 0.578 | 0.2226 | 0.2093 | 0.8409 | 0.7907 |
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.