icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Markham Thunder | CWHL | 24 | 6 | 12 | 18 | 0.750 | — | — | — | — |
| 2013-14 | Linköping HC | SDHL | 2 | 4 | 3 | 7 | 3.500 | 4.0425 | 3.6341 | — | — |
| 2014-15 | Calgary Inferno | CWHL | 24 | 4 | 10 | 14 | 0.583 | — | — | — | — |
| 2015-16 | Calgary Inferno | CWHL | 16 | 3 | 11 | 14 | 0.875 | — | — | — | — |
| 2016-17 | Calgary Inferno | CWHL | 22 | 12 | 12 | 24 | 1.091 | — | — | — | — |
| 2017-18 | Calgary Inferno | CWHL | 0 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Mercyhurst | D1 | CHA-W | SR | 32 | 27 | 41 | 68 | 2.125 |
| 2010-11 | Mercyhurst | D1 | CHA-W | JR | 28 | 15 | 27 | 42 | 1.500 |
| 2009-10 | Mercyhurst | D1 | CHA-W | SO | 33 | 29 | 27 | 56 | 1.697 |
| 2008-09 | Mercyhurst | D1 | CHA-W | FR | 37 | 16 | 19 | 35 | 0.946 |
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.