| 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 | 36 | 29 | 65 | 1.016 | 0.4092 | 0.4221 | — | — |
| 2022-23 | NAHA White 19U AAA | 19U-AAA-W | 59 | 24 | 20 | 44 | 0.746 | 0.2577 | 0.2756 | — | — |
| 2023-24 | NAHA White 19U AAA | 19U-AAA-W | 72 | 45 | 45 | 90 | 1.250 | 0.4319 | 0.4340 | — | — |
| 2024-25 | NAHA White 19U AAA | JWHL-U19 | 24 | 18 | 17 | 35 | 1.458 | 0.4850 | 0.4618 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Penn State | D1 | WCHA-W | — | 39 | 8 | 26 | 34 | 0.872 |
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.