| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Breck School (W) | USHS-MN-W | 25 | 14 | 13 | 27 | 1.080 | 0.1734 | 0.1734 | — | — |
| 2013-14 | Breck School (W) | USHS-MN-W | 25 | 15 | 11 | 26 | 1.040 | 0.1670 | 0.1670 | — | — |
| 2014-15 | Breck School (W) | USHS-MN-W | 25 | 34 | 22 | 56 | 2.240 | 0.3597 | 0.3597 | — | — |
| 2015-16 | Breck School (W) | USHS-MN-W | 20 | 28 | 11 | 39 | 1.950 | 0.3132 | 0.3132 | — | — |
| 2016-17 | Breck School (W) | USHS-MN-W | 20 | 38 | 15 | 53 | 2.650 | 0.4256 | 0.4256 | — | — |
| 2024-25 | Minnesota Frost | PWHL | 22 | 4 | 6 | 10 | 0.455 | — | — | — | — |
| 2025-26 | Minnesota Frost | PWHL | 29 | 13 | 10 | 23 | 0.793 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Minnesota | D1 | WCHA-W | SR | 39 | 25 | 36 | 61 | 1.564 |
| 2020-21 | Minnesota | D1 | WCHA-W | — | 20 | 17 | 7 | 24 | 1.200 |
| 2019-20 | Minnesota | D1 | WCHA-W | — | 36 | 25 | 20 | 45 | 1.250 |
| 2018-19 | Minnesota | D1 | WCHA-W | — | 39 | 25 | 16 | 41 | 1.051 |
| 2017-18 | Minnesota | D1 | WCHA-W | FR | 38 | 17 | 21 | 38 | 1.000 |
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.