| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Medicine Hat Tigers | WHL | 15 | 0 | 1 | 1 | 0.067 | 0.0324 | 0.0324 | 0.1634 | 0.1634 |
| 2021-22 | — | WHL | 46 | 6 | 2 | 8 | 0.174 | 0.0846 | 0.0871 | 0.4261 | 0.4385 |
| 2022-23 | Prince George Cougars | WHL | 51 | 7 | 5 | 12 | 0.235 | 0.1145 | 0.1125 | 0.5766 | 0.5664 |
| 2023-24 | Dauphin Kings | MJHL | 50 | 20 | 28 | 48 | 0.960 | 0.2610 | 0.2512 | — | — |
| 2024-25 | Dauphin Kings | MJHL | 38 | 33 | 19 | 52 | 1.368 | 0.3721 | 0.3376 | 0.8624 | 0.7825 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Niagara | ACHA_D1 | — | — | 27 | 7 | 7 | 14 | 0.518 |
| 2024-25 | Niagara | ACHA_D1 | — | — | 27 | 7 | 7 | 14 | 0.518 |
| 2023-24 | Niagara | ACHA_D1 | — | — | 27 | 7 | 7 | 14 | 0.518 |
| 2022-23 | Niagara | ACHA_D1 | — | — | 27 | 7 | 7 | 14 | 0.518 |
| 2021-22 | Niagara | ACHA_D1 | — | — | 27 | 7 | 7 | 14 | 0.518 |
| 2020-21 | Niagara | ACHA_D1 | — | — | 27 | 7 | 7 | 14 | 0.518 |
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.