| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Team Kuortane | SMLIIGA-W | 16 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2021-22 | Team Kuortane | SMLIIGA-W | 19 | 3 | 2 | 5 | 0.263 | 0.0998 | 0.0998 | — | — |
| 2022-23 | Team Kuortane | SMLIIGA-W | 33 | 6 | 7 | 13 | 0.394 | 0.1494 | 0.1494 | — | — |
| 2023-24 | Team Kuortane | SMLIIGA-W | 30 | 7 | 8 | 15 | 0.500 | 0.1896 | 0.1896 | — | — |
| 2024-25 | Team Kuortane | SMLIIGA-W | 31 | 17 | 11 | 28 | 0.903 | 0.3425 | 0.3425 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | St. Cloud State | D1 | WCHA-W | — | 36 | 3 | 6 | 9 | 0.250 |
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.