| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Frölunda HC U20 | SuperElit | 7 | 2 | 0 | 2 | 0.286 | 0.1127 | 0.1127 | 0.3509 | 0.3509 |
| 2020-21 | Frölunda HC U20 | SuperElit | 19 | 5 | 7 | 12 | 0.632 | 0.2492 | 0.2492 | 0.7758 | 0.7758 |
| 2021-22 | — | USHL | 50 | 7 | 4 | 11 | 0.220 | 0.1298 | 0.1221 | 0.6482 | 0.6098 |
| 2022-23 | Janesville Jets | NAHL | 54 | 7 | 24 | 31 | 0.574 | 0.2039 | 0.1901 | 0.6027 | 0.5620 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Utica | D3 | UCHC | GR | 29 | 8 | 10 | 18 | 0.621 |
| 2024-25 | Utica | D3 | UCHC | SR | 18 | 6 | 3 | 9 | 0.500 |
| 2023-24 | Utica | D3 | UCHC | JR | 12 | 2 | 3 | 5 | 0.417 |
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.