| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Linköping HC U20 | SuperElit | 2 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2018-19 | Linköping HC U20 | SuperElit | 35 | 6 | 4 | 10 | 0.286 | 0.1127 | 0.1182 | 0.3880 | 0.4069 |
| 2019-20 | Linköping HC U20 | SuperElit | 43 | 20 | 20 | 40 | 0.930 | 0.3671 | 0.3671 | 1.2633 | 1.2633 |
| 2020-21 | Malmö Redhawks U20 | SuperElit | 17 | 5 | 9 | 14 | 0.824 | 0.3250 | 0.3250 | 1.1184 | 1.1184 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2024-25 | Michigan Tech | D1 | CCHA | SR | 29 | 4 | 4 | 8 | 0.276 |
| 2023-24 | Michigan Tech | D1 | CCHA | JR | 37 | 5 | 4 | 9 | 0.243 |
| 2022-23 | Michigan Tech | D1 | CCHA | SO | 16 | 1 | 0 | 1 | 0.062 |
| 2021-22 | Michigan Tech | D1 | CCHA | FR | 0 | 0 | 0 | 0 | 0.000 |
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.