| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | River Cities Blades (women) | USHS-MN-W | 25 | 4 | 4 | 8 | 0.320 | 0.0483 | 0.0483 | — | — |
| 2020-21 | River Cities Blades (women) | USHS-MN-W | 19 | 4 | 5 | 9 | 0.474 | 0.0715 | 0.0715 | — | — |
| 2021-22 | River Cities Blades (women) | USHS-MN-W | 27 | 5 | 17 | 22 | 0.815 | 0.1230 | 0.1230 | — | — |
| 2022-23 | River Cities Blades (women) | USHS-MN-W | 26 | 13 | 14 | 27 | 1.038 | 0.1568 | 0.1407 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Gustavus Adolphus | D3 | MIAC | — | 28 | 10 | 8 | 18 | 0.643 |
| 2024-25 | Gustavus Adolphus | D3 | MIAC | — | 28 | 3 | 13 | 16 | 0.571 |
| 2023-24 | Gustavus Adolphus | D3 | MIAC | — | 25 | 4 | 7 | 11 | 0.440 |
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.