| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Linköping HC U20 | SHL-J20 | 10 | 4 | 1 | 5 | 0.500 | 0.2779 | 0.3040 | 0.6662 | 0.7288 |
| 2012-13 | Linköping HC U20 | SHL-J20 | 31 | 9 | 13 | 22 | 0.710 | 0.3945 | 0.4116 | 0.9456 | 0.9866 |
| 2013-14 | Linköping HC U20 | SuperElit | 43 | 32 | 28 | 60 | 1.395 | 0.5506 | 0.5553 | 1.8950 | 1.9112 |
| 2018-19 | Rögle BK | SHL | 46 | 13 | 20 | 33 | 0.717 | 1.7935 | 2.0079 | 9.3611 | 10.4801 |
| 2019-20 | Rögle BK | SHL | 40 | 14 | 22 | 36 | 0.900 | 2.2500 | 2.2500 | 11.7437 | 11.7437 |
| 2020-21 | Rögle BK | SHL | 33 | 4 | 13 | 17 | 0.515 | 1.2880 | 1.2880 | 6.7226 | 6.7226 |
| 2021-22 | Rögle BK | SHL | 46 | 14 | 32 | 46 | 1.000 | 2.5000 | 2.4898 | 13.0486 | 12.9952 |
| 2024-25 | Rögle BK | SHL | 29 | 5 | 18 | 23 | 0.793 | 1.9828 | 1.6839 | 10.3488 | 8.7887 |
| 2025-26 | Rögle BK | SHL | 49 | 14 | 15 | 29 | 0.592 | 1.4795 | 1.4795 | 7.7222 | 7.7222 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Minnesota | D1 | BigTen | SR | 35 | 5 | 4 | 9 | 0.257 |
| 2016-17 | Minnesota | D1 | BigTen | JR | 38 | 12 | 21 | 33 | 0.868 |
| 2015-16 | Minnesota | D1 | BigTen | SO | 36 | 20 | 17 | 37 | 1.028 |
| 2014-15 | Minnesota | D1 | BigTen | FR | 35 | 5 | 14 | 19 | 0.543 |
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.