| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Leksands IF U20 | SHL-J20 | 2 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2016-17 | Leksands IF U20 | SHL-J20 | 39 | 4 | 9 | 13 | 0.333 | 0.1851 | 0.1966 | 0.4437 | 0.4714 |
| 2017-18 | Leksands IF U20 | SuperElit | 34 | 5 | 8 | 13 | 0.382 | 0.1509 | 0.1528 | 0.5268 | 0.5335 |
| 2018-19 | — | USHL | 63 | 7 | 29 | 36 | 0.571 | 0.3371 | 0.3275 | 1.7146 | 1.6655 |
| 2023-24 | Almtuna IS | Allsvenskan | 35 | 1 | 3 | 4 | 0.114 | 0.2858 | 0.3074 | 1.0718 | 1.1527 |
| 2024-25 | Almtuna IS | Allsvenskan | 38 | 1 | 3 | 4 | 0.105 | 0.2632 | 0.2670 | 0.9874 | 1.0015 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | New Hampshire | D1 | HockeyEast | SR | 33 | 2 | 4 | 6 | 0.182 |
| 2021-22 | New Hampshire | D1 | HockeyEast | JR | 32 | 0 | 12 | 12 | 0.375 |
| 2020-21 | New Hampshire | D1 | HockeyEast | SO | 23 | 6 | 12 | 18 | 0.783 |
| 2019-20 | New Hampshire | D1 | HockeyEast | FR | 33 | 0 | 6 | 6 | 0.182 |
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.