| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | — | USHL | 39 | 1 | 5 | 6 | 0.154 | 0.0945 | 0.0945 | 0.4531 | 0.4531 |
| 2021-22 | — | USHL | 39 | 12 | 17 | 29 | 0.744 | 0.4571 | 0.4871 | 2.1908 | 2.3347 |
| 2022-23 | — | USHL | 55 | 25 | 40 | 65 | 1.182 | 0.7265 | 0.7365 | 3.4818 | 3.5295 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Wisconsin | D1 | BigTen | JR | 37 | 17 | 16 | 33 | 0.892 |
| 2024-25 | Wisconsin | D1 | BigTen | SO | 37 | 20 | 20 | 40 | 1.081 |
| 2023-24 | Wisconsin | D1 | BigTen | FR | 36 | 10 | 6 | 16 | 0.444 |
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.