icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Connecticut Whale | PHF | 13 | 10 | 3 | 13 | 1.000 | — | — | — | — |
| 2016-17 | Buffalo Beauts | PHF | 16 | 7 | 5 | 12 | 0.750 | — | — | — | — |
| 2018-19 | Toronto Furies | CWHL | 27 | 6 | 4 | 10 | 0.370 | — | — | — | — |
| 2019-20 | Toronto Furies | CWHL | 27 | 6 | 4 | 10 | 0.370 | — | — | — | — |
| 2020-21 | Toronto Furies | CWHL | 27 | 6 | 4 | 10 | 0.370 | — | — | — | — |
| 2021-22 | Toronto Furies | CWHL | 27 | 6 | 4 | 10 | 0.370 | — | — | — | — |
| 2022-23 | Toronto Furies | CWHL | 27 | 6 | 4 | 10 | 0.370 | — | — | — | — |
| 2023-24 | Toronto Furies | CWHL | 27 | 6 | 4 | 10 | 0.370 | — | — | — | — |
| 2024-25 | Ottawa Charge | PWHL | 29 | 8 | 9 | 17 | 0.586 | — | — | — | — |
| 2025-26 | Montréal Victoire | PWHL | 30 | 4 | 4 | 8 | 0.267 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Quinnipiac | D1 | ECAC-W | SR | 37 | 10 | 10 | 20 | 0.540 |
| 2013-14 | Quinnipiac | D1 | ECAC-W | JR | 37 | 23 | 17 | 40 | 1.081 |
| 2012-13 | Syracuse | D1 | CHA-W | SO | 35 | 16 | 8 | 24 | 0.686 |
| 2011-12 | Syracuse | D1 | CHA-W | FR | 35 | 7 | 11 | 18 | 0.514 |
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.