icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2007-08 | Mississauga Chiefs | CWHL | 1 | 2 | 1 | 3 | 3.000 | — | — | — | — |
| 2015-16 | Connecticut Whale | PHF | 18 | 9 | 13 | 22 | 1.222 | — | — | — | — |
| 2016-17 | Connecticut Whale | PHF | 17 | 10 | 9 | 19 | 1.118 | — | — | — | — |
| 2017-18 | Connecticut Whale | PHF | 14 | 4 | 5 | 9 | 0.643 | — | — | — | — |
| 2018-19 | Buffalo Beauts | PHF | 16 | 4 | 6 | 10 | 0.625 | — | — | — | — |
| 2020-21 | Metropolitan Riveters | PHF | 3 | 0 | 2 | 2 | 0.667 | — | — | — | — |
| 2021-22 | Metropolitan Riveters | PHF | 20 | 5 | 8 | 13 | 0.650 | — | — | — | — |
| 2022-23 | Metropolitan Riveters | PHF | 24 | 10 | 11 | 21 | 0.875 | — | — | — | — |
| 2023-24 | Metropolitan Riveters | PHF | 24 | 10 | 11 | 21 | 0.875 | — | — | — | — |
| 2024-25 | Metropolitan Riveters | PHF | 24 | 10 | 11 | 21 | 0.875 | — | — | — | — |
| 2025-26 | Metropolitan Riveters | PHF | 24 | 10 | 11 | 21 | 0.875 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Quinnipiac | D1 | ECAC-W | SR | 37 | 19 | 30 | 49 | 1.324 |
| 2012-13 | Quinnipiac | D1 | ECAC-W | JR | 36 | 28 | 27 | 55 | 1.528 |
| 2011-12 | Quinnipiac | D1 | ECAC-W | SO | 37 | 18 | 22 | 40 | 1.081 |
| 2010-11 | Quinnipiac | D1 | ECAC-W | FR | 37 | 30 | 29 | 59 | 1.595 |
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.