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 | Montréal Canadiennes | CWHL | 20 | 10 | 11 | 21 | 1.050 | — | — | — | — |
| 2014-15 | Calgary Inferno | CWHL | 13 | 8 | 12 | 20 | 1.538 | — | — | — | — |
| 2016-17 | Calgary Inferno | CWHL | 19 | 3 | 7 | 10 | 0.526 | — | — | — | — |
| 2017-18 | Calgary Inferno | CWHL | 0 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Minnesota Duluth | D1 | WCHA-W | SR | 34 | 16 | 38 | 54 | 1.588 |
| 2010-11 | Minnesota Duluth | D1 | WCHA-W | JR | 24 | 18 | 30 | 48 | 2.000 |
| 2008-09 | Minnesota Duluth | D1 | WCHA-W | SO | 39 | 22 | 22 | 44 | 1.128 |
| 2007-08 | Minnesota Duluth | D1 | WCHA-W | FR | 37 | 23 | 37 | 60 | 1.622 |
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.