| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Steinbach Pistons | MJHL | 1 | 0 | 3 | 3 | 3.000 | 0.8157 | 0.9288 | 1.8906 | 2.1527 |
| 2018-19 | Fargo Force | USHL | 8 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2019-20 | Steinbach Pistons | MJHL | 49 | 18 | 38 | 56 | 1.143 | 0.3108 | 0.3108 | 0.7203 | 0.7203 |
| 2020-21 | Omaha Lancers | USHL | 50 | 9 | 20 | 29 | 0.580 | 0.3565 | 0.3565 | 1.7088 | 1.7088 |
| 2021-22 | Youngstown Phantoms | USHL | 54 | 17 | 18 | 35 | 0.648 | 0.3984 | 0.3629 | 1.9094 | 1.7391 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Northern Michigan | D1 | CCHA | SR | 31 | 2 | 9 | 11 | 0.355 |
| 2024-25 | Minnesota | D1 | BigTen | GR | 32 | 1 | 5 | 6 | 0.188 |
| 2024-25 | Minnesota Duluth | D1 | NCHC | — | 32 | 1 | 5 | 6 | 0.188 |
| 2023-24 | Minnesota | D1 | BigTen | SR | 36 | 6 | 12 | 18 | 0.500 |
| 2023-24 | Minnesota Duluth | D1 | NCHC | — | 36 | 6 | 12 | 18 | 0.500 |
| 2022-23 | Minnesota | D1 | BigTen | JR | 33 | 5 | 3 | 8 | 0.242 |
| 2022-23 | Minnesota Duluth | D1 | NCHC | — | 33 | 5 | 3 | 8 | 0.242 |
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.