| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | KJT Haukat | SMLIIGA-W | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2017-18 | — | SMLIIGA-W | 14 | 2 | 1 | 3 | 0.214 | 0.0813 | 0.0813 | — | — |
| 2018-19 | Kiekko-Espoo | SMLIIGA-W | 27 | 12 | 27 | 39 | 1.444 | 0.5477 | 0.5477 | — | — |
| 2019-20 | Kiekko-Espoo | SMLIIGA-W | 28 | 7 | 24 | 31 | 1.107 | 0.4198 | 0.4198 | — | — |
| 2020-21 | Kiekko-Espoo | SMLIIGA-W | 24 | 13 | 24 | 37 | 1.542 | 0.5846 | 0.5846 | — | — |
| 2021-22 | Kiekko-Espoo | SMLIIGA-W | 23 | 7 | 24 | 31 | 1.348 | 0.5111 | 0.5111 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Minnesota | D1 | WCHA-W | SR | 33 | 10 | 20 | 30 | 0.909 |
| 2024-25 | Minnesota | D1 | WCHA-W | JR | 42 | 3 | 19 | 22 | 0.524 |
| 2023-24 | Minnesota | D1 | WCHA-W | SO | 39 | 6 | 17 | 23 | 0.590 |
| 2022-23 | Minnesota | D1 | WCHA-W | FR | 31 | 3 | 16 | 19 | 0.613 |
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.