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 | Montréal Canadiennes | CWHL | 24 | 25 | 33 | 58 | 2.417 | — | — | — | — |
| 2010-11 | Montréal Canadiennes | CWHL | 29 | 22 | 46 | 68 | 2.345 | — | — | — | — |
| 2011-12 | Montréal Canadiennes | CWHL | 27 | 30 | 36 | 66 | 2.444 | — | — | — | — |
| 2012-13 | Montréal Canadiennes | CWHL | 23 | 13 | 13 | 26 | 1.130 | — | — | — | — |
| 2013-14 | Montréal Canadiennes | CWHL | 2 | 2 | 0 | 2 | 1.000 | — | — | — | — |
| 2014-15 | Montréal Canadiennes | CWHL | 22 | 8 | 18 | 26 | 1.182 | — | — | — | — |
| 2015-16 | Montréal Canadiennes | CWHL | 24 | 15 | 17 | 32 | 1.333 | — | — | — | — |
| 2016-17 | Montréal Canadiennes | CWHL | 22 | 15 | 16 | 31 | 1.409 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2004-05 | Minnesota Duluth | D1 | WCHA-W | SR | 33 | 32 | 48 | 80 | 2.424 |
| 2003-04 | Minnesota Duluth | D1 | WCHA-W | SR | 32 | 29 | 47 | 76 | 2.375 |
| 2002-03 | Minnesota Duluth | D1 | WCHA-W | JR | 32 | 31 | 42 | 73 | 2.281 |
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.