| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | AIK U20 | SuperElit | 8 | 1 | 0 | 1 | 0.125 | 0.0493 | 0.0531 | 0.1722 | 0.1853 |
| 2016-17 | Lincoln Stars | USHL | 59 | 8 | 27 | 35 | 0.593 | 0.3499 | 0.3445 | 1.7800 | 1.7527 |
| 2017-18 | Lincoln Stars | USHL | 58 | 12 | 27 | 39 | 0.672 | 0.3966 | 0.3708 | 2.0177 | 1.8867 |
| 2023-24 | IK Oskarshamn | SHL | 50 | 3 | 4 | 7 | 0.140 | 0.3500 | 0.3658 | 1.8257 | 1.9082 |
| 2024-25 | IK Oskarshamn | Allsvenskan | 50 | 12 | 12 | 24 | 0.480 | 1.2000 | 1.1117 | 4.5010 | 4.1698 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Ohio State | D1 | BigTen | GR | 7 | 2 | 3 | 5 | 0.714 |
| 2021-22 | Ohio State | D1 | BigTen | SR | 37 | 8 | 8 | 16 | 0.432 |
| 2020-21 | Ohio State | D1 | BigTen | JR | 23 | 6 | 3 | 9 | 0.391 |
| 2019-20 | Ohio State | D1 | BigTen | SO | 34 | 12 | 14 | 26 | 0.765 |
| 2018-19 | Ohio State | D1 | BigTen | FR | 25 | 5 | 14 | 19 | 0.760 |
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.