| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Red Deer Rebels | WHL | 14 | 2 | 0 | 2 | 0.143 | 0.0695 | 0.0695 | 0.3506 | 0.3506 |
| 2021-22 | Red Deer Rebels | WHL | 65 | 7 | 3 | 10 | 0.154 | 0.0748 | 0.0790 | 0.3774 | 0.3988 |
| 2022-23 | — | WHL | 56 | 14 | 8 | 22 | 0.393 | 0.1911 | 0.1930 | 0.9641 | 0.9739 |
| 2023-24 | Prince Albert Raiders | WHL | 7 | 1 | 0 | 1 | 0.143 | 0.0695 | 0.0668 | 0.3506 | 0.3369 |
| 2024-25 | Chilliwack Chiefs | BCHL | 22 | 17 | 13 | 30 | 1.364 | 0.5254 | 0.4933 | 1.9844 | 1.8630 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Canisius | D1 | AHA | — | 25 | 5 | 8 | 13 | 0.520 |
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.