icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2010-11 | Montréal Canadiennes | CWHL | 19 | 5 | 30 | 35 | 1.842 | — | — | — | — |
| 2011-12 | Montréal Canadiennes | CWHL | 15 | 5 | 10 | 15 | 1.000 | — | — | — | — |
| 2012-13 | Montréal Canadiennes | CWHL | 14 | 2 | 7 | 9 | 0.643 | — | — | — | — |
| 2013-14 | Montréal Canadiennes | CWHL | 2 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2014-15 | Montréal Canadiennes | CWHL | 20 | 2 | 15 | 17 | 0.850 | — | — | — | — |
| 2015-16 | Montréal Canadiennes | CWHL | 15 | 3 | 9 | 12 | 0.800 | — | — | — | — |
| 2016-17 | Montréal Canadiennes | CWHL | 10 | 1 | 4 | 5 | 0.500 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2006-07 | Harvard | D1 | ECAC-W | SR | 30 | 18 | 48 | 66 | 2.200 |
| 2004-05 | Harvard | D1 | ECAC-W | JR | 33 | 13 | 56 | 69 | 2.091 |
| 2003-04 | Harvard | D1 | ECAC-W | SO | 32 | 15 | 41 | 56 | 1.750 |
| 2002-03 | Harvard | D1 | ECAC-W | FR | 34 | 42 | 51 | 93 | 2.735 |
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.