| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | MoDo Hockey | SDHL | 12 | 4 | 2 | 6 | 0.500 | 0.5775 | 0.6044 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2024-25 | Minnesota | D1 | WCHA-W | SR | 32 | 13 | 9 | 22 | 0.688 |
| 2024-25 | Minnesota State | D1 | CHA-W | SR | 32 | 13 | 9 | 22 | 0.688 |
| 2023-24 | Minnesota | D1 | WCHA-W | JR | 34 | 4 | 9 | 13 | 0.382 |
| 2023-24 | Minnesota State | D1 | CHA-W | JR | 34 | 4 | 9 | 13 | 0.382 |
| 2022-23 | Minnesota | D1 | WCHA-W | SO | 35 | 9 | 11 | 20 | 0.571 |
| 2022-23 | Minnesota State | D1 | CHA-W | SO | 35 | 9 | 10 | 19 | 0.543 |
| 2021-22 | Minnesota | D1 | WCHA-W | FR | 33 | 6 | 8 | 14 | 0.424 |
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.