| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | — | USHL | 2 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2019-20 | — | USHL | 47 | 2 | 12 | 14 | 0.298 | 0.1831 | 0.1831 | 0.8777 | 0.8777 |
| 2020-21 | — | USHL | 52 | 12 | 22 | 34 | 0.654 | 0.4019 | 0.4019 | 1.9262 | 1.9262 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2024-25 | Minnesota | D1 | BigTen | — | 35 | 14 | 16 | 30 | 0.857 |
| 2024-25 | Minnesota Duluth | D1 | NCHC | — | 35 | 14 | 16 | 30 | 0.857 |
| 2023-24 | Minnesota Duluth | D1 | NCHC | — | 2 | 0 | 1 | 1 | 0.500 |
| 2022-23 | Minnesota | D1 | BigTen | — | 35 | 10 | 18 | 28 | 0.800 |
| 2022-23 | Minnesota Duluth | D1 | NCHC | — | 35 | 10 | 18 | 28 | 0.800 |
| 2021-22 | Minnesota | D1 | BigTen | — | 39 | 6 | 12 | 18 | 0.462 |
| 2021-22 | Minnesota Duluth | D1 | NCHC | — | 39 | 6 | 12 | 18 | 0.462 |
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.