| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Omaha Lancers | USHL | 49 | 33 | 38 | 71 | 1.449 | 0.8548 | 0.8105 | 4.3519 | 4.1265 |
| 2019-20 | IF Björklöven | Allsvenskan | 42 | 8 | 23 | 31 | 0.738 | 1.8453 | 1.8453 | 6.9248 | 6.9248 |
| 2020-21 | IF Björklöven | Allsvenskan | 51 | 18 | 28 | 46 | 0.902 | 2.2550 | 2.2550 | 8.4625 | 8.4625 |
| 2021-22 | HV71 | Allsvenskan | 52 | 19 | 27 | 46 | 0.885 | 2.2115 | 1.9629 | 8.2992 | 7.3661 |
| 2022-23 | HV71 | SHL | 46 | 5 | 9 | 14 | 0.304 | 0.7608 | 0.7050 | 3.9707 | 3.6793 |
| 2023-24 | Brynäs IF | Allsvenskan | 44 | 12 | 24 | 36 | 0.818 | 2.0455 | 1.6454 | 7.6763 | 6.1747 |
| 2024-25 | Brynäs IF | SHL | 48 | 4 | 9 | 13 | 0.271 | 0.6770 | 0.5440 | 3.5336 | 2.8392 |
| 2025-26 | Brynäs IF | SHL | 51 | 3 | 6 | 9 | 0.176 | 0.4412 | 0.4412 | 2.3031 | 2.3031 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Nebraska Omaha | D1 | NCHC | SR | 36 | 11 | 21 | 32 | 0.889 |
| 2016-17 | Nebraska Omaha | D1 | NCHC | JR | 39 | 14 | 21 | 35 | 0.897 |
| 2015-16 | Nebraska Omaha | D1 | NCHC | SO | 35 | 6 | 12 | 18 | 0.514 |
| 2014-15 | Nebraska Omaha | D1 | NCHC | FR | 39 | 8 | 15 | 23 | 0.590 |
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.