| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Västerås IK U20 | SHL-J20 | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2016-17 | Västerås IK U20 | SHL-J20 | 12 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2017-18 | Västerås IK U20 | SuperElit | 39 | 10 | 11 | 21 | 0.538 | 0.2110 | 0.2064 | 0.6614 | 0.6468 |
| 2018-19 | Tri-City Storm | USHL | 51 | 6 | 12 | 18 | 0.353 | 0.2169 | 0.2031 | 1.0397 | 0.9738 |
| 2023-24 | Växjö Lakers HC | SHL | 50 | 0 | 5 | 5 | 0.100 | 0.2500 | 0.2746 | — | — |
| 2024-25 | Växjö Lakers HC | SHL | 50 | 4 | 14 | 18 | 0.360 | 0.9000 | 0.9358 | — | — |
| 2025-26 | Växjö Lakers HC | SHL | 39 | 0 | 5 | 5 | 0.128 | 0.3205 | 0.3205 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Bemidji State | D1 | CCHA | SR | 36 | 4 | 24 | 28 | 0.778 |
| 2021-22 | Bemidji State | D1 | CCHA | JR | 38 | 7 | 19 | 26 | 0.684 |
| 2020-21 | Bemidji State | D1 | WCHA | SO | 25 | 5 | 11 | 16 | 0.640 |
| 2019-20 | Bemidji State | D1 | WCHA | FR | 35 | 5 | 19 | 24 | 0.686 |
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.