| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | NAHA Red 16U | 16U-AAA-W | 64 | 5 | 18 | 23 | 0.359 | 0.1448 | 0.1453 | — | — |
| 2022-23 | NAHA White 19U AAA | 19U-AAA-W | 59 | 3 | 19 | 22 | 0.373 | 0.1288 | 0.1341 | — | — |
| 2023-24 | NAHA White 19U AAA | 19U-AAA-W | 78 | 13 | 25 | 38 | 0.487 | 0.1683 | 0.1643 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Penn State | D1 | WCHA-W | — | 39 | 0 | 7 | 7 | 0.179 |
| 2024-25 | Penn State | D1 | WCHA-W | — | 38 | 0 | 6 | 6 | 0.158 |
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.