| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Göteborg HC | SDHL | 34 | 18 | 15 | 33 | 0.971 | 1.1210 | 1.1184 | — | — |
| 2018-19 | Montréal Canadiennes | CWHL | 26 | 2 | 5 | 7 | 0.269 | — | — | — | — |
| 2019-20 | Montréal Canadiennes | CWHL | 26 | 2 | 5 | 7 | 0.269 | — | — | — | — |
| 2020-21 | Montréal Canadiennes | CWHL | 26 | 2 | 5 | 7 | 0.269 | — | — | — | — |
| 2021-22 | Montréal Canadiennes | CWHL | 26 | 2 | 5 | 7 | 0.269 | — | — | — | — |
| 2022-23 | Montréal Canadiennes | CWHL | 26 | 2 | 5 | 7 | 0.269 | — | — | — | — |
| 2023-24 | Montréal Canadiennes | CWHL | 26 | 2 | 5 | 7 | 0.269 | — | — | — | — |
| 2025-26 | Montréal Canadiennes | CWHL | 26 | 2 | 5 | 7 | 0.269 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Clarkson | D1 | ECAC-W | — | 41 | 15 | 38 | 53 | 1.293 |
| 2015-16 | Clarkson | D1 | ECAC-W | — | 40 | 11 | 27 | 38 | 0.950 |
| 2014-15 | Clarkson | D1 | ECAC-W | — | 38 | 13 | 19 | 32 | 0.842 |
| 2013-14 | Clarkson | D1 | ECAC-W | — | 41 | 10 | 17 | 27 | 0.659 |
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.