| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Omaha Lancers | USHL | 7 | 1 | 4 | 5 | 0.714 | 0.4391 | 0.4572 | 2.1045 | 2.1915 |
| 2019-20 | — | USHL | 45 | 17 | 25 | 42 | 0.933 | 0.5737 | 0.5737 | 2.7497 | 2.7497 |
| 2020-21 | — | USHL | 43 | 13 | 21 | 34 | 0.791 | 0.4860 | 0.4860 | 2.3296 | 2.3296 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2024-25 | Minnesota | D1 | BigTen | SR | 39 | 13 | 27 | 40 | 1.026 |
| 2023-24 | Minnesota | D1 | BigTen | JR | 39 | 19 | 17 | 36 | 0.923 |
| 2022-23 | Minnesota | D1 | BigTen | SO | 40 | 11 | 14 | 25 | 0.625 |
| 2021-22 | Minnesota | D1 | BigTen | FR | 30 | 5 | 13 | 18 | 0.600 |
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.