| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Västerås IK U20 | SuperElit | 5 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2015-16 | Västerås IK U20 | SHL-J20 | 32 | 1 | 1 | 2 | 0.062 | 0.0345 | 0.0355 | 0.0834 | 0.0859 |
| 2016-17 | Västerås IK U20 | SHL-J20 | 45 | 3 | 11 | 14 | 0.311 | 0.1718 | 0.1679 | 0.4152 | 0.4058 |
| 2017-18 | Tri-City Storm | USHL | 59 | 11 | 16 | 27 | 0.458 | 0.2813 | 0.2638 | 1.3482 | 1.2646 |
| 2022-23 | Almtuna IS | Allsvenskan | 52 | 1 | 7 | 8 | 0.154 | 0.3845 | 0.3912 | — | — |
| 2023-24 | Almtuna IS | Allsvenskan | 38 | 5 | 3 | 8 | 0.210 | 0.5262 | 0.5212 | — | — |
| 2024-25 | Djurgårdens IF | Allsvenskan | 52 | 4 | 12 | 16 | 0.308 | 0.7692 | 0.7148 | — | — |
| 2025-26 | Djurgårdens IF | SHL | 36 | 1 | 1 | 2 | 0.056 | 0.1390 | 0.1390 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Colorado College | D1 | NCHC | — | 31 | 1 | 0 | 1 | 0.032 |
| 2020-21 | Colorado College | D1 | NCHC | — | 22 | 0 | 2 | 2 | 0.091 |
| 2019-20 | Boston University | D1 | HockeyEast | — | 10 | 0 | 0 | 0 | 0.000 |
| 2018-19 | Boston University | D1 | HockeyEast | — | 37 | 0 | 2 | 2 | 0.054 |
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.