| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2010-11 | Team Kuortane | SMLIIGA-W | 16 | 8 | 4 | 12 | 0.750 | 0.2844 | 0.2844 | — | — |
| 2011-12 | Team Kuortane | SMLIIGA-W | 16 | 17 | 7 | 24 | 1.500 | 0.5688 | 0.5688 | — | — |
| 2012-13 | Team Kuortane | SMLIIGA-W | 14 | 9 | 11 | 20 | 1.429 | 0.5417 | 0.5417 | — | — |
| 2013-14 | Team Kuortane | SMLIIGA-W | 28 | 11 | 12 | 23 | 0.821 | 0.3115 | 0.3115 | — | — |
| 2014-15 | Ilves | SMLIIGA-W | 28 | 11 | 13 | 24 | 0.857 | 0.3250 | 0.3250 | — | — |
| 2019-20 | Linköping HC | SDHL | 36 | 12 | 10 | 22 | 0.611 | 0.7058 | 0.7058 | — | — |
| 2020-21 | Leksands IF | SDHL | 36 | 5 | 5 | 10 | 0.278 | 0.3209 | 0.3209 | — | — |
| 2021-22 | AIK | SDHL | 36 | 9 | 12 | 21 | 0.583 | 0.6737 | 0.6737 | — | — |
| 2022-23 | AIK | SDHL | 32 | 5 | 7 | 12 | 0.375 | 0.4331 | 0.3296 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Vermont | D1 | — | — | 34 | 6 | 9 | 15 | 0.441 |
| 2017-18 | Vermont | D1 | HEA-W | JR | 31 | 6 | 8 | 14 | 0.452 |
| 2016-17 | Vermont | D1 | HEA-W | SO | 35 | 7 | 17 | 24 | 0.686 |
| 2015-16 | Vermont | D1 | HEA-W | FR | 35 | 7 | 4 | 11 | 0.314 |
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.