| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Selkirk Steelers | MJHL | 54 | 3 | 8 | 11 | 0.204 | 0.0392 | 0.0433 | 0.1285 | 0.1418 |
| 2019-20 | Selkirk Steelers | MJHL | 54 | 5 | 21 | 26 | 0.481 | 0.0927 | 0.0927 | 0.3036 | 0.3036 |
| 2020-21 | Selkirk Steelers | MJHL | 8 | 1 | 0 | 1 | 0.125 | 0.0241 | 0.0241 | 0.0788 | 0.0788 |
| 2021-22 | — | MJHL | 47 | 5 | 19 | 24 | 0.511 | 0.0983 | 0.0939 | 0.3220 | 0.3076 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Minot State University | ACHA_D1 | — | — | 30 | 4 | 9 | 13 | 0.433 |
| 2024-25 | Minot State University | ACHA_D1 | — | — | 30 | 4 | 9 | 13 | 0.433 |
| 2023-24 | Minot State University | ACHA_D1 | — | — | 30 | 4 | 9 | 13 | 0.433 |
| 2022-23 | Minot State University | ACHA_D1 | — | — | 30 | 4 | 9 | 13 | 0.433 |
| 2021-22 | Minot State University | ACHA_D1 | — | — | 30 | 4 | 9 | 13 | 0.433 |
| 2020-21 | Minot State University | ACHA_D1 | — | — | 30 | 4 | 9 | 13 | 0.433 |
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.