| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Team Kuortane | SMLIIGA-W | 28 | 7 | 10 | 17 | 0.607 | 0.2302 | 0.2302 | — | — |
| 2016-17 | Team Kuortane | SMLIIGA-W | 25 | 13 | 10 | 23 | 0.920 | 0.3489 | 0.3489 | — | — |
| 2017-18 | Team Kuortane | SMLIIGA-W | 30 | 23 | 16 | 39 | 1.300 | 0.4930 | 0.4930 | — | — |
| 2023-24 | Brynäs IF | SDHL | 36 | 15 | 23 | 38 | 1.056 | 1.2192 | 1.1421 | — | — |
| 2024-25 | Brynäs IF | SDHL | 34 | 18 | 14 | 32 | 0.941 | 1.0871 | 0.9733 | — | — |
| 2025-26 | Brynäs IF | SDHL | 36 | 11 | 19 | 30 | 0.833 | 0.9625 | 0.8249 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | St. Cloud State | D1 | WCHA-W | GR | 37 | 14 | 14 | 28 | 0.757 |
| 2021-22 | St. Cloud State | D1 | WCHA-W | SR | 18 | 7 | 8 | 15 | 0.833 |
| 2020-21 | St. Cloud State | D1 | WCHA-W | JR | 19 | 7 | 5 | 12 | 0.632 |
| 2019-20 | St. Cloud State | D1 | WCHA-W | SO | 30 | 4 | 9 | 13 | 0.433 |
| 2018-19 | St. Cloud State | D1 | WCHA-W | FR | 35 | 8 | 13 | 21 | 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.