| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Monsignor Martin | USHS-W | 14 | 17 | 10 | 27 | 1.929 | 0.5614 | 0.5614 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Clarkson | D1 | ECAC-W | — | 34 | 12 | 13 | 25 | 0.735 |
| 2024-25 | Vermont | D1 | HEA-W | JR | 36 | 6 | 11 | 17 | 0.472 |
| 2023-24 | Vermont | D1 | HEA-W | SO | 35 | 9 | 10 | 19 | 0.543 |
| 2022-23 | Vermont | D1 | HEA-W | FR | 36 | 8 | 11 | 19 | 0.528 |
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.