| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Alberni Valley Bulldogs | BCHL | 31 | 3 | 3 | 6 | 0.194 | 0.0721 | 0.0770 | 0.2819 | 0.3012 |
| 2022-23 | Alberni Valley Bulldogs | BCHL | 47 | 6 | 6 | 12 | 0.255 | 0.0951 | 0.0969 | 0.3720 | 0.3792 |
| 2023-24 | Alberni Valley Bulldogs | BCHL | 52 | 11 | 15 | 26 | 0.500 | 0.1862 | 0.1813 | 0.7286 | 0.7093 |
| 2024-25 | Alberni Valley Bulldogs | BCHL | 53 | 17 | 22 | 39 | 0.736 | 0.2741 | 0.2531 | 1.0721 | 0.9898 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Robert Morris | D1 | AHA | FR | 12 | 0 | 1 | 1 | 0.083 |
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.