| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Northfield High (W) | USHS-MN-W | 25 | 8 | 13 | 21 | 0.840 | 0.1349 | 0.1349 | — | — |
| 2017-18 | Northfield High (W) | USHS-MN-W | 25 | 17 | 12 | 29 | 1.160 | 0.1863 | 0.1863 | — | — |
| 2018-19 | Northfield High (W) | USHS-MN-W | 25 | 19 | 21 | 40 | 1.600 | 0.2570 | 0.2570 | — | — |
| 2019-20 | Northfield High (W) | USHS-MN-W | 24 | 23 | 22 | 45 | 1.875 | 0.3011 | 0.3011 | — | — |
| 2020-21 | Northfield High (W) | USHS-MN-W | 16 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Minnesota | D1 | WCHA-W | — | 12 | 0 | 0 | 0 | 0.000 |
| 2025-26 | Minnesota State | D1 | CHA-W | GR | 12 | 0 | 0 | 0 | 0.000 |
| 2023-24 | Minnesota | D1 | WCHA-W | — | 36 | 0 | 6 | 6 | 0.167 |
| 2023-24 | Minnesota State | D1 | CHA-W | JR | 35 | 0 | 6 | 6 | 0.171 |
| 2022-23 | Minnesota | D1 | WCHA-W | — | 34 | 1 | 1 | 2 | 0.059 |
| 2022-23 | Minnesota State | D1 | CHA-W | SO | 26 | 1 | 1 | 2 | 0.077 |
| 2021-22 | Minnesota | D1 | WCHA-W | — | 34 | 2 | 1 | 3 | 0.088 |
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.