| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Battlefords North Stars | SJHL | 2 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2021-22 | Battlefords North Stars | SJHL | 57 | 6 | 26 | 32 | 0.561 | 0.1710 | 0.1670 | 0.4161 | 0.4065 |
| 2022-23 | Battlefords North Stars | SJHL | 55 | 8 | 48 | 56 | 1.018 | 0.3101 | 0.2874 | 0.7546 | 0.6994 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Northern Michigan | D1 | CCHA | JR | 34 | 1 | 9 | 10 | 0.294 |
| 2024-25 | Northern Michigan | D1 | CCHA | — | 34 | 1 | 10 | 11 | 0.324 |
| 2023-24 | St. Cloud State | D1 | NCHC | — | 19 | 0 | 5 | 5 | 0.263 |
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.