| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Centennial/SLP High (women) | USHS-MN-W | 25 | 16 | 13 | 29 | 1.160 | 0.1752 | 0.1752 | — | — |
| 2014-15 | Centennial/SLP High (women) | USHS-MN-W | 24 | 29 | 25 | 54 | 2.250 | 0.3397 | 0.3397 | — | — |
| 2015-16 | Centennial/SLP High (women) | USHS-MN-W | 25 | 43 | 25 | 68 | 2.720 | 0.4107 | 0.4107 | — | — |
| 2016-17 | Centennial/SLP High (women) | USHS-MN-W | 23 | 29 | 38 | 67 | 2.913 | 0.4399 | 0.4399 | — | — |
| 2017-18 | Centennial/SLP High (women) | USHS-MN-W | 24 | 36 | 32 | 68 | 2.833 | 0.4278 | 0.4278 | — | — |
| 2024-25 | Ottawa Charge | PWHL | 29 | 5 | 11 | 16 | 0.552 | — | — | — | — |
| 2025-26 | Ottawa Charge | PWHL | 28 | 5 | 11 | 16 | 0.571 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Minnesota Duluth | D1 | WCHA-W | SR | 38 | 10 | 36 | 46 | 1.210 |
| 2021-22 | Minnesota Duluth | D1 | WCHA-W | SR | 40 | 22 | 37 | 59 | 1.475 |
| 2020-21 | Minnesota Duluth | D1 | WCHA-W | JR | 19 | 10 | 11 | 21 | 1.105 |
| 2019-20 | Minnesota Duluth | D1 | WCHA-W | SO | 35 | 20 | 31 | 51 | 1.457 |
| 2018-19 | Minnesota Duluth | D1 | WCHA-W | FR | 33 | 19 | 18 | 37 | 1.121 |
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.