| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | University School | USHS-W | 18 | 9 | 6 | 15 | 0.833 | 0.2506 | 0.2506 | — | — |
| 2021-22 | Team Wisconsin 16U AAA | 16U-AAA-W | 34 | 3 | 10 | 13 | 0.382 | 0.1715 | 0.1715 | — | — |
| 2022-23 | Team Wisconsin 16U AAA | 16U-AAA-W | 23 | 8 | 7 | 15 | 0.652 | 0.2924 | 0.2924 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Williams | D3 | — | — | 28 | 9 | 10 | 19 | 0.679 |
| 2024-25 | Williams | D3 | — | — | 25 | 4 | 6 | 10 | 0.400 |
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.