| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Red Wing High (W) | USHS-MN-W | 25 | 5 | 4 | 9 | 0.360 | 0.0578 | 0.0578 | — | — |
| 2013-14 | Red Wing High (W) | USHS-MN-W | 25 | 5 | 9 | 14 | 0.560 | 0.0899 | 0.0899 | — | — |
| 2014-15 | Red Wing High (W) | USHS-MN-W | 25 | 25 | 42 | 67 | 2.680 | 0.4304 | 0.4304 | — | — |
| 2015-16 | Red Wing High (W) | USHS-MN-W | 25 | 42 | 32 | 74 | 2.960 | 0.4754 | 0.4754 | — | — |
| 2016-17 | Red Wing High (W) | USHS-MN-W | 25 | 45 | 24 | 69 | 2.760 | 0.4433 | 0.4433 | — | — |
| 2017-18 | Red Wing High (W) | USHS-MN-W | 24 | 58 | 25 | 83 | 3.458 | 0.5554 | 0.5554 | — | — |
| 2024-25 | Minnesota Frost | PWHL | 29 | 8 | 14 | 22 | 0.759 | — | — | — | — |
| 2025-26 | Minnesota Frost | PWHL | 30 | 13 | 17 | 30 | 1.000 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Minnesota | D1 | WCHA-W | SR | 39 | 30 | 37 | 67 | 1.718 |
| 2021-22 | Minnesota | D1 | WCHA-W | SR | 39 | 29 | 37 | 66 | 1.692 |
| 2020-21 | Minnesota | D1 | WCHA-W | JR | 20 | 7 | 9 | 16 | 0.800 |
| 2019-20 | Minnesota | D1 | WCHA-W | SO | 36 | 18 | 25 | 43 | 1.194 |
| 2018-19 | Minnesota | D1 | WCHA-W | FR | 39 | 13 | 22 | 35 | 0.897 |
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.