| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | AIK U20 | SHL-J20 | 6 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2016-17 | AIK U20 | SHL-J20 | 37 | 2 | 4 | 6 | 0.162 | 0.0902 | 0.0888 | 0.2161 | 0.2127 |
| 2017-18 | Örebro HK U20 | SuperElit | 39 | 0 | 7 | 7 | 0.179 | 0.0708 | 0.0662 | 0.2438 | 0.2279 |
| 2018-19 | Des Moines Buccaneers | USHL | 29 | 0 | 1 | 1 | 0.035 | 0.0204 | 0.0182 | 0.1036 | 0.0926 |
| 2023-24 | — | Allsvenskan | 48 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2024-25 | Almtuna IS | Allsvenskan | 3 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Lake Superior State | D1 | CCHA | SR | 31 | 0 | 1 | 1 | 0.032 |
| 2021-22 | Lake Superior State | D1 | CCHA | JR | 35 | 0 | 5 | 5 | 0.143 |
| 2020-21 | Lake Superior State | D1 | WCHA | SO | 29 | 0 | 1 | 1 | 0.035 |
| 2019-20 | Lake Superior State | D1 | WCHA | FR | 37 | 1 | 1 | 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.