| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Boston Shamrocks | JWHL-U19 | 28 | 30 | 13 | 43 | 1.536 | 0.5765 | 0.5765 | — | — |
| 2020-21 | Connecticut Whale | PHF | 4 | 1 | 1 | 2 | 0.500 | — | — | — | — |
| 2021-22 | Connecticut Whale | PHF | 18 | 12 | 9 | 21 | 1.167 | — | — | — | — |
| 2022-23 | Connecticut Whale | PHF | 17 | 1 | 2 | 3 | 0.176 | — | — | — | — |
| 2023-24 | Connecticut Whale | PHF | 17 | 1 | 2 | 3 | 0.176 | — | — | — | — |
| 2024-25 | Connecticut Whale | PHF | 17 | 1 | 2 | 3 | 0.176 | — | — | — | — |
| 2025-26 | Connecticut Whale | PHF | 17 | 1 | 2 | 3 | 0.176 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Norwich | D3 | — | — | 29 | 32 | 27 | 59 | 2.034 |
| 2018-19 | Norwich | D3 | — | — | 28 | 30 | 12 | 42 | 1.500 |
| 2017-18 | Minnesota State | D1 | WCHA-W | SR | 33 | 5 | 3 | 8 | 0.242 |
| 2017-18 | Norwich | D3 | — | — | 31 | 34 | 25 | 59 | 1.903 |
| 2016-17 | Minnesota State | D1 | WCHA-W | JR | 34 | 2 | 1 | 3 | 0.088 |
| 2016-17 | Norwich | D3 | — | FR | 23 | 20 | 8 | 28 | 1.217 |
| 2015-16 | Minnesota State | D1 | WCHA-W | SO | 34 | 5 | 2 | 7 | 0.206 |
| 2014-15 | Minnesota State | D1 | WCHA-W | FR | 34 | 2 | 4 | 6 | 0.176 |
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.