icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2008-09 | Burlington Barracudas | CWHL | 3 | 0 | 1 | 1 | 0.333 | — | — | — | — |
| 2014-15 | Markham Thunder | CWHL | 24 | 5 | 10 | 15 | 0.625 | — | — | — | — |
| 2015-16 | Markham Thunder | CWHL | 24 | 8 | 20 | 28 | 1.167 | — | — | — | — |
| 2016-17 | Markham Thunder | CWHL | 20 | 6 | 13 | 19 | 0.950 | — | — | — | — |
| 2017-18 | Markham Thunder | CWHL | 2 | 0 | 1 | 1 | 0.500 | — | — | — | — |
| 2018-19 | Markham Thunder | CWHL | 26 | 5 | 13 | 18 | 0.692 | — | — | — | — |
| 2019-20 | Markham Thunder | CWHL | 26 | 5 | 13 | 18 | 0.692 | — | — | — | — |
| 2020-21 | Markham Thunder | CWHL | 26 | 5 | 13 | 18 | 0.692 | — | — | — | — |
| 2021-22 | Markham Thunder | CWHL | 26 | 5 | 13 | 18 | 0.692 | — | — | — | — |
| 2022-23 | Markham Thunder | CWHL | 26 | 5 | 13 | 18 | 0.692 | — | — | — | — |
| 2023-24 | Markham Thunder | CWHL | 26 | 5 | 13 | 18 | 0.692 | — | — | — | — |
| 2025-26 | Markham Thunder | CWHL | 26 | 5 | 13 | 18 | 0.692 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Cornell | D1 | ECAC-W | SR | 34 | 5 | 16 | 21 | 0.618 |
| 2011-12 | Cornell | D1 | ECAC-W | JR | 33 | 8 | 29 | 37 | 1.121 |
| 2010-11 | Cornell | D1 | ECAC-W | SO | 33 | 9 | 32 | 41 | 1.242 |
| 2009-10 | Cornell | D1 | ECAC-W | FR | 33 | 13 | 21 | 34 | 1.030 |
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.