| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Rothesay Netherwood School | CAHS-W | 22 | 8 | 11 | 19 | 0.864 | 0.3099 | 0.3090 | — | — |
| 2023-24 | Shattuck-St. Mary's 19U | 19U-AAA-W | 55 | 8 | 20 | 28 | 0.509 | 0.1759 | 0.1705 | — | — |
| 2024-25 | Northwood School | USHS-W | 67 | 12 | 30 | 42 | 0.627 | 0.1825 | 0.1611 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | St. Lawrence | D1 | ECAC-W | — | 35 | 1 | 4 | 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.