| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Frölunda HC U20 | SuperElit | 16 | 2 | 4 | 6 | 0.375 | 0.1480 | 0.1619 | 0.5093 | 0.5570 |
| 2015-16 | Frölunda HC U20 | SuperElit | 44 | 17 | 31 | 48 | 1.091 | 0.4305 | 0.4520 | 1.4816 | 1.5557 |
| 2016-17 | Tri-City Storm | USHL | 49 | 19 | 28 | 47 | 0.959 | 0.5658 | 0.5671 | 2.8809 | 2.8873 |
| 2024-25 | Frölunda HC | SHL | 47 | 12 | 20 | 32 | 0.681 | 1.7022 | 1.7093 | 8.8848 | 8.9221 |
| 2025-26 | Frölunda HC | SHL | 33 | 5 | 12 | 17 | 0.515 | 1.2880 | 1.2880 | 6.7226 | 6.7226 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Wisconsin | D1 | BigTen | SR | 31 | 12 | 29 | 41 | 1.323 |
| 2019-20 | Wisconsin | D1 | BigTen | JR | 35 | 4 | 18 | 22 | 0.629 |
| 2018-19 | Wisconsin | D1 | BigTen | SO | 27 | 8 | 17 | 25 | 0.926 |
| 2017-18 | Wisconsin | D1 | BigTen | FR | 34 | 10 | 16 | 26 | 0.765 |
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.