| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Durham West Jr. Lightning | OWHL-U22 | 30 | 32 | 51 | 83 | 2.767 | 0.9672 | 0.9672 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Princeton | D1 | ECAC-W | SR | 34 | 27 | 16 | 43 | 1.265 |
| 2024-25 | Princeton | D1 | ECAC-W | JR | 32 | 26 | 24 | 50 | 1.562 |
| 2023-24 | Princeton | D1 | ECAC-W | SO | 32 | 8 | 27 | 35 | 1.094 |
| 2022-23 | Princeton | D1 | ECAC-W | FR | 31 | 9 | 9 | 18 | 0.581 |
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.