| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Skellefteå AIK U20 | SHL-J20 | 33 | 1 | 9 | 10 | 0.303 | 0.1684 | 0.1692 | 0.4037 | 0.4056 |
| 2017-18 | Janesville Jets | NAHL | 50 | 7 | 18 | 25 | 0.500 | 0.1837 | 0.1830 | 0.5278 | 0.5258 |
| 2018-19 | Janesville Jets | NAHL | 59 | 9 | 13 | 22 | 0.373 | 0.1370 | 0.1304 | 0.3936 | 0.3745 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Augsburg | D3 | MIAC | GR | 25 | 7 | 16 | 23 | 0.920 |
| 2022-23 | Augsburg | D3 | MIAC | SR | 28 | 11 | 9 | 20 | 0.714 |
| 2021-22 | Augsburg | D3 | MIAC | JR | 26 | 7 | 9 | 16 | 0.615 |
| 2020-21 | Augsburg | D1 | MIAC | SO | 5 | 1 | 3 | 4 | 0.800 |
| 2020-21 | Augsburg | D3 | MIAC | SO | 5 | 1 | 3 | 4 | 0.800 |
| 2019-20 | Augsburg | D1 | MIAC | FR | 19 | 3 | 8 | 11 | 0.579 |
| 2019-20 | Augsburg | D3 | MIAC | FR | 19 | 3 | 8 | 11 | 0.579 |
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.