| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Langley Rivermen | BCHL | 51 | 2 | 5 | 7 | 0.137 | 0.0511 | 0.0522 | 0.2001 | 0.2046 |
| 2022-23 | Langley Rivermen | BCHL | 54 | 25 | 23 | 48 | 0.889 | 0.3311 | 0.3223 | 1.2952 | 1.2607 |
| 2023-24 | Langley Rivermen | BCHL | 53 | 22 | 30 | 52 | 0.981 | 0.3655 | 0.3390 | 1.4296 | 1.3259 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Sacred Heart | D1 | AHA | SO | 39 | 8 | 8 | 16 | 0.410 |
| 2024-25 | Sacred Heart | D1 | AHA | — | 9 | 0 | 1 | 1 | 0.111 |
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.