| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Team Kuortane | SMLIIGA-W | 28 | 2 | 7 | 9 | 0.321 | 0.1219 | 0.1219 | — | — |
| 2016-17 | Team Kuortane | SMLIIGA-W | 28 | 1 | 10 | 11 | 0.393 | 0.1490 | 0.1490 | — | — |
| 2017-18 | Team Kuortane | SMLIIGA-W | 30 | 6 | 10 | 16 | 0.533 | 0.2022 | 0.2022 | — | — |
| 2023-24 | Brynäs IF | SDHL | 36 | 2 | 8 | 10 | 0.278 | 0.3209 | 0.2945 | — | — |
| 2024-25 | Skellefteå AIK | SDHL | 32 | 4 | 7 | 11 | 0.344 | 0.3971 | 0.3480 | — | — |
| 2025-26 | Skellefteå AIK | SDHL | 36 | 2 | 11 | 13 | 0.361 | 0.4171 | 0.3495 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Vermont | D1 | HEA-W | GR | 36 | 3 | 24 | 27 | 0.750 |
| 2021-22 | Vermont | D1 | — | SR | 21 | 2 | 10 | 12 | 0.571 |
| 2020-21 | Vermont | D1 | — | JR | 11 | 0 | 1 | 1 | 0.091 |
| 2019-20 | Vermont | D1 | — | SO | 35 | 5 | 19 | 24 | 0.686 |
| 2018-19 | Vermont | D1 | — | FR | 36 | 1 | 11 | 12 | 0.333 |
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.