| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Chilliwack Chiefs | BCHL | 7 | 0 | 4 | 4 | 0.571 | 0.2202 | 0.2469 | 0.8326 | 0.9335 |
| 2022-23 | Chilliwack Chiefs | BCHL | 30 | 3 | 3 | 6 | 0.200 | 0.0771 | 0.0827 | 0.2914 | 0.3124 |
| 2023-24 | Chilliwack Chiefs | BCHL | 46 | 2 | 9 | 11 | 0.239 | 0.0921 | 0.0945 | 0.3484 | 0.3576 |
| 2024-25 | Chilliwack Chiefs | BCHL | 13 | 1 | 3 | 4 | 0.308 | 0.1186 | 0.1158 | 0.4483 | 0.4376 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Nebraska Omaha | D1 | NCHC | FR | 1 | 0 | 0 | 0 | 0.000 |
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.