| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Green Bay Gamblers | USHL | 38 | 2 | 7 | 9 | 0.237 | 0.1456 | 0.1456 | 0.6977 | 0.6977 |
| 2021-22 | Green Bay Gamblers | USHL | 58 | 7 | 15 | 22 | 0.379 | 0.2332 | 0.2196 | 1.1175 | 1.0523 |
| 2022-23 | Sioux City Musketeers | USHL | 35 | 6 | 1 | 7 | 0.200 | 0.1229 | 0.1093 | 0.5892 | 0.5242 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Minnesota | D1 | BigTen | — | 39 | 2 | 4 | 6 | 0.154 |
| 2025-26 | Minnesota State | D1 | CCHA | JR | 39 | 2 | 4 | 6 | 0.154 |
| 2024-25 | Wisconsin | D1 | BigTen | — | 34 | 3 | 6 | 9 | 0.265 |
| 2023-24 | Wisconsin | D1 | BigTen | — | 33 | 6 | 2 | 8 | 0.242 |
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.