| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Elk River/Zimmerman (women) | USHS-MN-W | 25 | 7 | 2 | 9 | 0.360 | 0.0578 | 0.0578 | — | — |
| 2018-19 | Elk River/Zimmerman (women) | USHS-MN-W | 25 | 16 | 13 | 29 | 1.160 | 0.1863 | 0.1863 | — | — |
| 2019-20 | Elk River/Zimmerman (women) | USHS-MN-W | 25 | 24 | 10 | 34 | 1.360 | 0.2184 | 0.2184 | — | — |
| 2020-21 | Elk River/Zimmerman (women) | USHS-MN-W | 20 | 27 | 16 | 43 | 2.150 | 0.3453 | 0.3453 | — | — |
| 2021-22 | Elk River/Zimmerman (women) | USHS-MN-W | 28 | 25 | 16 | 41 | 1.464 | 0.2352 | 0.2352 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Penn State | D1 | WCHA-W | SR | 39 | 19 | 16 | 35 | 0.897 |
| 2024-25 | Penn State | D1 | WCHA-W | JR | 38 | 21 | 12 | 33 | 0.868 |
| 2023-24 | Penn State | D1 | WCHA-W | SO | 38 | 5 | 6 | 11 | 0.289 |
| 2022-23 | Penn State | D1 | WCHA-W | FR | 37 | 1 | 4 | 5 | 0.135 |
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.