icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2009-10 | Montréal Canadiennes | CWHL | 17 | 11 | 11 | 22 | 1.294 | — | — | — | — |
| 2010-11 | Worcester Blades | CWHL | 19 | 10 | 10 | 20 | 1.053 | — | — | — | — |
| 2011-12 | Worcester Blades | CWHL | 18 | 7 | 5 | 12 | 0.667 | — | — | — | — |
| 2012-13 | Worcester Blades | CWHL | 15 | 2 | 3 | 5 | 0.333 | — | — | — | — |
| 2013-14 | Worcester Blades | CWHL | 11 | 7 | 8 | 15 | 1.364 | — | — | — | — |
| 2014-15 | Worcester Blades | CWHL | 9 | 2 | 1 | 3 | 0.333 | — | — | — | — |
| 2015-16 | Connecticut Whale | PHF | 15 | 2 | 5 | 7 | 0.467 | — | — | — | — |
| 2018-19 | Connecticut Whale | PHF | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2006-07 | Minnesota Duluth | D1 | WCHA-W | SR | 36 | 22 | 18 | 40 | 1.111 |
| 2005-06 | Minnesota Duluth | D1 | WCHA-W | JR | 34 | 17 | 26 | 43 | 1.265 |
| 2004-05 | Minnesota Duluth | D1 | WCHA-W | SO | 32 | 24 | 17 | 41 | 1.281 |
| 2003-04 | Minnesota Duluth | D1 | WCHA-W | FR | 30 | 21 | 10 | 31 | 1.033 |
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.