icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | St. Paul's | NE-Prep-Girls | 2 | 1 | 3 | 4 | 2.000 | 0.9202 | 0.9202 | — | — |
| 2012-13 | St. Paul's | NE-Prep-Girls | 26 | 31 | 21 | 52 | 2.000 | 0.9202 | 0.9202 | — | — |
| 2013-14 | St. Paul's | NE-Prep-Girls | 27 | 20 | 31 | 51 | 1.890 | 0.8696 | 0.8696 | — | — |
| 2019-20 | Metropolitan Riveters | PHF | 21 | 5 | 0 | 5 | 0.238 | — | — | — | — |
| 2020-21 | Metropolitan Riveters | PHF | 3 | 0 | 1 | 1 | 0.333 | — | — | — | — |
| 2021-22 | Metropolitan Riveters | PHF | 20 | 1 | 2 | 3 | 0.150 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Syracuse | D1 | — | — | 38 | 10 | 12 | 22 | 0.579 |
| 2017-18 | Syracuse | D1 | CHA-W | SR | 36 | 14 | 8 | 22 | 0.611 |
| 2016-17 | Syracuse | D1 | CHA-W | JR | 33 | 4 | 2 | 6 | 0.182 |
| 2015-16 | New Hampshire | D1 | HEA-W | SO | 8 | 0 | 0 | 0 | 0.000 |
| 2014-15 | New Hampshire | D1 | HEA-W | FR | 32 | 1 | 1 | 2 | 0.062 |
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.