| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Fox Cities Stars | USHS-W | 19 | 33 | 32 | 65 | 3.421 | 0.9959 | 0.9959 | — | — |
| 2021-22 | Team Wisconsin 16U AAA | 16U-AAA-W | 33 | 20 | 15 | 35 | 1.061 | 0.4273 | 0.4211 | — | — |
| 2022-23 | Culver Military Academy | USHS-W | 53 | 33 | 32 | 65 | 1.226 | 0.3570 | 0.3439 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Lindenwood | D1 | WCHA-W | — | 32 | 1 | 2 | 3 | 0.094 |
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.