| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Frölunda HC U20 | SuperElit | 4 | 0 | 2 | 2 | 0.500 | 0.1973 | 0.1973 | 0.6141 | 0.6141 |
| 2020-21 | Frölunda HC U20 | SuperElit | 19 | 5 | 4 | 9 | 0.474 | 0.1869 | 0.1869 | 0.5818 | 0.5818 |
| 2021-22 | Fargo Force | USHL | 32 | 2 | 4 | 6 | 0.188 | 0.1106 | 0.1067 | 0.5524 | 0.5331 |
| 2022-23 | Madison Capitols | USHL | 8 | 2 | 2 | 4 | 0.500 | 0.2949 | 0.2693 | 1.4731 | 1.3450 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | St. Norbert | D3 | NCHA | GR | 30 | 6 | 12 | 18 | 0.600 |
| 2024-25 | St. Norbert | D3 | NCHA | SR | 27 | 4 | 6 | 10 | 0.370 |
| 2023-24 | St. Norbert | D3 | NCHA | JR | 28 | 1 | 6 | 7 | 0.250 |
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.