| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Chilliwack Chiefs | BCHL | 51 | 13 | 9 | 22 | 0.431 | 0.1662 | 0.1753 | 0.6286 | 0.6631 |
| 2023-24 | — | BCHL | 55 | 14 | 20 | 34 | 0.618 | 0.2382 | 0.2404 | 0.9008 | 0.9090 |
| 2024-25 | Nanaimo Clippers | BCHL | 52 | 27 | 40 | 67 | 1.288 | 0.4965 | 0.4761 | 1.8775 | 1.8002 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Long Island Univ. | D1 | AHA | FR | 33 | 9 | 15 | 24 | 0.727 |
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.