| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | AIK | SDHL | 27 | 2 | 0 | 2 | 0.074 | 0.0867 | 0.0867 | — | — |
| 2015-16 | Linköping HC | SDHL | 34 | 1 | 3 | 4 | 0.118 | 0.1375 | 0.1375 | — | — |
| 2016-17 | Linköping HC | SDHL | 31 | 2 | 5 | 7 | 0.226 | 0.2641 | 0.2641 | — | — |
| 2017-18 | Linköping HC | SDHL | 36 | 4 | 3 | 7 | 0.194 | 0.2274 | 0.2274 | — | — |
| 2018-19 | — | SDHL | 36 | 4 | 2 | 6 | 0.167 | 0.1950 | 0.1950 | — | — |
| 2020-21 | Linköping HC | SDHL | 19 | 3 | 1 | 4 | 0.210 | 0.2462 | 0.2462 | — | — |
| 2022-23 | Leksands IF | SDHL | 30 | 2 | 3 | 5 | 0.167 | 0.1950 | 0.1953 | — | — |
| 2023-24 | Leksands IF | SDHL | 36 | 4 | 6 | 10 | 0.278 | 0.3249 | 0.3017 | — | — |
| 2024-25 | Leksands IF | SDHL | 36 | 1 | 7 | 8 | 0.222 | 0.2599 | 0.2306 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Long Island Univ. | D1 | CHA-W | — | 24 | 4 | 9 | 13 | 0.542 |
| 2020-21 | Long Island Univ. | D1 | CHA-W | — | 13 | 4 | 6 | 10 | 0.769 |
| 2019-20 | Long Island Univ. | D1 | CHA-W | — | 32 | 10 | 15 | 25 | 0.781 |
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.