| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Little Caesars 16U AAA | 16U-AAA-W | 64 | 25 | 83 | 108 | 1.688 | 0.6799 | 0.6799 | — | — |
| 2022-23 | Little Caesars 16U AAA | 16U-AAA-W | 66 | 32 | 92 | 124 | 1.879 | 0.7570 | 0.7570 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Harvard | D1 | ECAC-W | — | 34 | 5 | 10 | 15 | 0.441 |
| 2024-25 | Harvard | D1 | ECAC-W | — | 29 | 3 | 5 | 8 | 0.276 |
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.