| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Örebro HK U20 | SHL-J20 | 2 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2023-24 | Örebro HK U20 | SuperElit | 42 | 13 | 2 | 15 | 0.357 | 0.1409 | 0.1495 | 0.4920 | 0.5219 |
| 2024-25 | Örebro HK U20 | SuperElit | 47 | 25 | 33 | 58 | 1.234 | 0.4869 | 0.4920 | 1.7001 | 1.7179 |
| 2025-26 | Dubuque Fighting Saints | USHL | 62 | 17 | 19 | 36 | 0.581 | 0.3425 | 0.3309 | 1.7422 | 1.6829 |
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.