| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | — | USHL | 4 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2015-16 | Lincoln Stars | USHL | 58 | 6 | 5 | 11 | 0.190 | 0.1208 | 0.1312 | 0.5685 | 0.6175 |
| 2016-17 | Lincoln Stars | USHL | 55 | 11 | 14 | 25 | 0.455 | 0.2894 | 0.2996 | 1.3620 | 1.4100 |
| 2017-18 | Lincoln Stars | USHL | 57 | 22 | 18 | 40 | 0.702 | 0.4469 | 0.4404 | 2.1031 | 2.0727 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Wisconsin | D1 | BigTen | GR | 35 | 2 | 5 | 7 | 0.200 |
| 2021-22 | Wisconsin | D1 | BigTen | SR | 37 | 5 | 5 | 10 | 0.270 |
| 2020-21 | Wisconsin | D1 | BigTen | JR | 27 | 3 | 4 | 7 | 0.259 |
| 2019-20 | Wisconsin | D1 | BigTen | SO | 30 | 0 | 2 | 2 | 0.067 |
| 2018-19 | Wisconsin | D1 | BigTen | FR | 35 | 4 | 7 | 11 | 0.314 |
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.