| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | HV71 | SDHL | 8 | 0 | 2 | 2 | 0.250 | 0.2924 | 0.2924 | — | — |
| 2017-18 | HV71 | SDHL | 25 | 1 | 2 | 3 | 0.120 | 0.1403 | 0.1403 | — | — |
| 2018-19 | HV71 | SDHL | 32 | 0 | 1 | 1 | 0.031 | 0.0365 | 0.0365 | — | — |
| 2019-20 | HV71 | SDHL | 33 | 3 | 3 | 6 | 0.182 | 0.2126 | 0.2126 | — | — |
| 2020-21 | HV71 | SDHL | 36 | 6 | 10 | 16 | 0.444 | 0.5197 | 0.5197 | — | — |
| 2021-22 | HV71 | SDHL | 36 | 7 | 12 | 19 | 0.528 | 0.6173 | 0.6173 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Minnesota Duluth | D1 | WCHA-W | SR | 30 | 17 | 6 | 23 | 0.767 |
| 2024-25 | Mercyhurst | D1 | CHA-W | — | 36 | 16 | 12 | 28 | 0.778 |
| 2023-24 | Mercyhurst | D1 | CHA-W | — | 36 | 19 | 11 | 30 | 0.833 |
| 2022-23 | Mercyhurst | D1 | CHA-W | — | 37 | 16 | 20 | 36 | 0.973 |
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.