| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | California Wave 16U AAA | 16U-AAA-W | 44 | 9 | 8 | 17 | 0.386 | 0.1733 | 0.1733 | — | — |
| 2024-25 | Skellefteå AIK | SDHL | 32 | 8 | 9 | 17 | 0.531 | 0.6212 | 0.5960 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | LIU | D2 | CHA-W | GR | 37 | 20 | 11 | 31 | 0.838 |
| 2023-24 | Long Island Univ. | D1 | CHA-W | — | 37 | 20 | 11 | 31 | 0.838 |
| 2022-23 | LIU | D1 | CHA-W | SR | 35 | 10 | 8 | 18 | 0.514 |
| 2022-23 | Long Island Univ. | D1 | CHA-W | — | 35 | 10 | 8 | 18 | 0.514 |
| 2021-22 | Penn State | D1 | WCHA-W | — | 16 | 1 | 0 | 1 | 0.062 |
| 2020-21 | Penn State | D1 | WCHA-W | — | 9 | 1 | 1 | 2 | 0.222 |
| 2019-20 | Penn State | D1 | WCHA-W | — | 35 | 2 | 3 | 5 | 0.143 |
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.