| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Örebro HK U20 | SuperElit | 6 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2020-21 | Karlskrona HK U20 | SuperElit | 15 | 3 | 1 | 4 | 0.267 | 0.1045 | 0.1045 | 0.3276 | 0.3276 |
| 2021-22 | Karlskrona HK U20 | SuperElit | 26 | 12 | 18 | 30 | 1.154 | 0.4521 | 0.4206 | 1.4172 | 1.3184 |
| 2022-23 | New Mexico Ice Wolves | NAHL | 38 | 13 | 20 | 33 | 0.868 | 0.3441 | 0.3203 | 0.9117 | 0.8487 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | RPI | D1 | ECAC | — | 32 | 2 | 8 | 10 | 0.312 |
| 2024-25 | American International | D1 | AHA | — | 33 | 7 | 4 | 11 | 0.333 |
| 2023-24 | American International | D1 | AHA | — | 20 | 11 | 11 | 22 | 1.100 |
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.