| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Västerås IK U20 | SuperElit | 14 | 0 | 1 | 1 | 0.071 | 0.0282 | 0.0290 | 0.0877 | 0.0902 |
| 2022-23 | Västerås IK U20 | SuperElit | 47 | 11 | 7 | 18 | 0.383 | 0.1511 | 0.1495 | 0.4704 | 0.4654 |
| 2023-24 | — | SuperElit | 48 | 12 | 19 | 31 | 0.646 | 0.2548 | 0.2372 | 0.7932 | 0.7384 |
| 2024-25 | Austin Bruins | NAHL | 55 | 8 | 15 | 23 | 0.418 | 0.1485 | 0.1379 | 0.4391 | 0.4077 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Gustavus Adolphus | D3 | MIAC | — | 22 | 5 | 10 | 15 | 0.682 |
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.