icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Markham Thunder | CWHL | 22 | 4 | 9 | 13 | 0.591 | — | — | — | — |
| 2015-16 | Markham Thunder | CWHL | 22 | 13 | 16 | 29 | 1.318 | — | — | — | — |
| 2016-17 | Markham Thunder | CWHL | 22 | 11 | 10 | 21 | 0.955 | — | — | — | — |
| 2018-19 | Markham Thunder | CWHL | 26 | 12 | 13 | 25 | 0.962 | — | — | — | — |
| 2019-20 | Markham Thunder | CWHL | 26 | 12 | 13 | 25 | 0.962 | — | — | — | — |
| 2020-21 | Markham Thunder | CWHL | 26 | 12 | 13 | 25 | 0.962 | — | — | — | — |
| 2021-22 | Markham Thunder | CWHL | 26 | 12 | 13 | 25 | 0.962 | — | — | — | — |
| 2022-23 | Markham Thunder | CWHL | 26 | 12 | 13 | 25 | 0.962 | — | — | — | — |
| 2023-24 | Markham Thunder | CWHL | 26 | 12 | 13 | 25 | 0.962 | — | — | — | — |
| 2024-25 | Boston Fleet | PWHL | 30 | 4 | 6 | 10 | 0.333 | — | — | — | — |
| 2025-26 | Boston Fleet | PWHL | 30 | 4 | 8 | 12 | 0.400 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Clarkson | D1 | ECAC-W | SR | 41 | 29 | 37 | 66 | 1.610 |
| 2012-13 | Clarkson | D1 | ECAC-W | JR | 36 | 22 | 30 | 52 | 1.444 |
| 2011-12 | Clarkson | D1 | ECAC-W | SO | 24 | 12 | 15 | 27 | 1.125 |
| 2010-11 | Clarkson | D1 | ECAC-W | FR | 37 | 7 | 18 | 25 | 0.676 |
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.