| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Blake School (W) | USHS-MN-W | 23 | 7 | 10 | 17 | 0.739 | 0.1187 | 0.1187 | — | — |
| 2016-17 | Blake School (W) | USHS-MN-W | 25 | 14 | 25 | 39 | 1.560 | 0.2505 | 0.2505 | — | — |
| 2017-18 | Blake School (W) | USHS-MN-W | 25 | 23 | 14 | 37 | 1.480 | 0.2377 | 0.2377 | — | — |
| 2018-19 | Blake School (W) | USHS-MN-W | 25 | 25 | 32 | 57 | 2.280 | 0.3662 | 0.3662 | — | — |
| 2024-25 | Toronto Sceptres | PWHL | 30 | 2 | 5 | 7 | 0.233 | — | — | — | — |
| 2025-26 | Vancouver Goldeneyes | PWHL | 28 | 7 | 3 | 10 | 0.357 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Cornell | D1 | ECAC-W | GR | 34 | 21 | 38 | 59 | 1.735 |
| 2022-23 | Cornell | D1 | ECAC-W | SR | 32 | 18 | 30 | 48 | 1.500 |
| 2021-22 | Cornell | D1 | ECAC-W | JR | 29 | 9 | 25 | 34 | 1.172 |
| 2020-21 | Cornell | D1 | ECAC-W | SO | 0 | 0 | 0 | 0 | 0.000 |
| 2019-20 | Cornell | D1 | ECAC-W | FR | 29 | 3 | 14 | 17 | 0.586 |
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.