| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Grand Rapids-Greenway | USHS-MN-W | 14 | 2 | 0 | 2 | 0.143 | 0.0229 | 0.0229 | — | — |
| 2017-18 | Grand Rapids-Greenway | USHS-MN-W | 25 | 21 | 20 | 41 | 1.640 | 0.2634 | 0.2634 | — | — |
| 2018-19 | Grand Rapids-Greenway | USHS-MN-W | 25 | 31 | 12 | 43 | 1.720 | 0.2762 | 0.2762 | — | — |
| 2019-20 | Grand Rapids-Greenway | USHS-MN-W | 24 | 23 | 22 | 45 | 1.875 | 0.3011 | 0.3011 | — | — |
| 2020-21 | Grand Rapids-Greenway | USHS-MN-W | 21 | 32 | 30 | 62 | 2.952 | 0.4742 | 0.4742 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2024-25 | Minnesota | D1 | WCHA-W | — | 37 | 16 | 11 | 27 | 0.730 |
| 2024-25 | Minnesota State | D1 | CHA-W | SR | 37 | 16 | 11 | 27 | 0.730 |
| 2023-24 | Minnesota | D1 | WCHA-W | — | 38 | 7 | 6 | 13 | 0.342 |
| 2023-24 | Minnesota State | D1 | CHA-W | JR | 37 | 7 | 6 | 13 | 0.351 |
| 2022-23 | Bemidji State | D1 | CHA-W | — | 36 | 7 | 0 | 7 | 0.194 |
| 2021-22 | Bemidji State | D1 | CHA-W | — | 28 | 7 | 5 | 12 | 0.429 |
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.